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  1. Combining unmanned aerial vehicle and ground LiDAR for biomass estimation: Canopy complexity effects in diverse forests

    Article • Trees Forests and People, March 2026, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  2. Developing mixed-effects height-diameter model using stand and environmental factors for mixed forests in northern China

    Article • iScience, January 2026, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  3. Environmental contingency of forest-cloud interactions: Contrasting atmospheric enhancement and suppression mechanisms across Chinese climate gradients

    Article • Trees Forests and People, December 2025, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  4. Modeling diameter at breast height of Chinese fir (Cunninghamia lanceolata) using UAV LiDAR data in Southern China

    Article • Frontiers in Plant Science, October 2025, Frontiers

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  5. Developing compatibility biomass model based on UAV LiDAR data of Chinese fir (Cunninghamia lanceolata) in Southern China

    Article • Frontiers in Plant Science, September 2025, Frontiers

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  6. Mapping species-specific aboveground forest biomass for Guangxi using wall-to-wall airborne laser scanning data

    Article • Ecological Indicators, September 2025, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  7. Estimating area, standing carbon stock, and potential carbon stock of degraded forests in China

    Article • Forest Ecosystems, August 2025, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  8. Developing mixed-effects aboveground biomass model using biotic and abiotic variables for moso bamboo in China

    Article • Journal of Environmental Management, June 2025, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  9. Developing a generalized nonlinear mixed-effects biomass model at stand-level under different age conditions for Chinese fir based on LiDAR and ground survey data in southern China

    Article • Frontiers in Plant Science, May 2025, Frontiers

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  10. Forest Site Quality Evaluation Using UAV Remote Sensing Technology

    Article • May 2025, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  11. Climate sensitive mixed-effects dominant height model for moso bamboo in China

    Article • Tropical Ecology, May 2025, Springer Science + Business Media

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  12. An Analysis of Spatial Variation in Human Impact on Forest Ecological Functions

    Article • Applied Sciences, April 2025, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  13. Forest site classification and grading using mixed-variables clustering and nonlinear mixed-effects modeling based on forest inventory data

    Article • Forestry An International Journal of Forest Research, April 2025, Oxford University Press (OUP)

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  14. Random effects and environmental sensitivity improve the compatible biomass model systems of moso bamboo forests in Southern China

    Article • Ecological Indicators, March 2025, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  15. Development of Full Growth Cycle Crown Width Models for Chinese Fir (Cunninghamia lanceolata) in Southern China

    Article • Forests, February 2025, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  16. Development stage‐dependent effects of biodiversity on aboveground biomass of temperate forests

    Article • Ecography, December 2024, Wiley

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  17. Modeling tree stem volume for hill Shorea robusta Gaertn. forests in Karnali Province, Nepal

    Article • Trees Forests and People, December 2024, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  18. The Effect of Soil and Topography Factors on Larix gmelinii var. Principis-rupprechtii Forest Mortality and Capability of Decision Tree Binning Method and Generalized Linear Models in Predicting Tree Mortality

    Article • Forests, November 2024, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  19. Developing GIS-Based Algorithm of Stand Spatial Structure Index and Its Implementation

    Article • Forests, October 2024, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  20. Comparing crown ratio models for spruce-fir broadleaved mixed forests using beta regression and random forest algorithm

    Article • Computers and Electronics in Agriculture, October 2024, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  21. Response of bamboo canopy density to terrain, soil and stand factors

    Article • Trees, September 2024, Springer Science + Business Media

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  22. Forest above-ground biomass estimation based on strongly collinear variables derived from airborne laser scanning data

    Article • Ecological Indicators, September 2024, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  23. forestat: An R package for computing forest carbon sequestration and potential productivity

    Article • Ecological Indicators, September 2024, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  24. A climate sensitive nonlinear mixed-effects height to crown base model: a study focuses on Phyllostachys pubescens

    Article • Trees, June 2024, Springer Science + Business Media

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  25. Spatial-Temporal Variations of Human Impact on Forest Ecological Functions in the Yellow River Basin from 2004 to 2018

    Article • April 2024, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  26. Predicting Individual Tree Mortality of Larix gmelinii var. Principis-rupprechtii in Temperate Forests Using Machine Learning Methods

    Article • Forests, February 2024, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  27. Constructing a non-linear additive crown-width model system for moso bamboo forests in eastern China

    Article • Australian Forestry, January 2024, Taylor & Francis

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  28. Evaluating Forest Site Quality Using the Biomass Potential Productivity Approach

    Article • Forests, December 2023, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  29. Relationship between Climate-Shaped Urbanization and Forest Ecological Function: A Case Study of the Yellow River Basin, China

    Article • Land, November 2023, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  30. Allometric tree volume models for Pinus roxberghii and Cedrus deodara in Karnali Province, Nepal

    Article • Forest Ecology and Management, October 2023, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  31. Simulation of Thinning by Integrating Tree Competition and Species Biodiversity for Target Tree-Based Management of Secondary Forests

    Article • Forests, September 2023, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  32. Modeling stand biomass for Moso bamboo forests in Eastern China

    Article • Frontiers in Plant Science, July 2023, Frontiers

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  33. Comparing estimation algorithms for compatible biomass models of Moso Bamboo

    Article • Tropical Ecology, July 2023, Springer Science + Business Media

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  34. Compatible Biomass Model with Measurement Error Using Airborne LiDAR Data

    Article • Remote Sensing, July 2023, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  35. Aboveground Biomass Prediction of Arid Shrub-Dominated Community Based on Airborne LiDAR through Parametric and Nonparametric Methods

    Article • Remote Sensing, June 2023, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  36. Effects of Forest Management Approach on Carbon Stock and Plant Diversity: A Case Study from Karnali Province, Nepal

    Article • Land, June 2023, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  37. Two-level mixed-effects height to crown base model for moso bamboo (Phyllostachys edulis) in Eastern China

    Article • Frontiers in Plant Science, March 2023, Frontiers

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  38. Modelling the effects of topographic hetero- geneity on distribution of Nitraria tanguto- rum Bobr. species in deserts using LiDAR-data

    Article • March 2023, Research Square

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  39. Optimizing height measurement for the long-term forest experiments in Sweden

    Article • Forest Ecology and Management, March 2023, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  40. Constructing two-level nonlinear mixed-effects crown width models for Moso bamboo in China

    Article • Frontiers in Plant Science, February 2023, Frontiers

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  41. Moisture, Not Temperature, in the Pre-Monsoon Influences Pinus wallichiana Growth along the Altitudinal and Aspect Gradients in the Lower Himalayas of Central Nepal

    Article • Forests, October 2022, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  42. Modeling the Dominant Height of Larix principis-rupprechtii in Northern China—A Study for Guandi Mountain, Shanxi Province

    Article • Forests, September 2022, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  43. Estimating Fractional Vegetation Cover Changes in Desert Regions Using RGB Data

    Article • Remote Sensing, August 2022, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  44. Nonlinear Mixed-Effects Height to Crown Base Model for Moso Bamboo (Phyllostachys heterocycla (Carr.) Mitford cv. Pubescens) in Eastern China

    Article • Forests, May 2022, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  45. Developing Tree Mortality Models Using Bayesian Modeling Approach

    Article • Forests, April 2022, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  46. Simultaneous Compatible System of Models of Height, Crown Length, and Height to Crown Base for Natural Secondary Forests of Northeast China

    Article • Forests, January 2022, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  47. Volume functions for Shorea robusta Gaertn. in Nepal

    Article • Forestry An International Journal of Forest Research, November 2021, Oxford University Press (OUP)

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  48. A Nonlinear Mixed-Effects Height-Diameter Model with Interaction Effects of Stand Density and Site Index for Larix olgensis in Northeast China

    Article • Forests, October 2021, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  49. Tree Recognition on the Plantation Using UAV Images with Ultrahigh Spatial Resolution in a Complex Environment

    Article • Remote Sensing, October 2021, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  50. Estimating crown width in degraded forest: A two-level nonlinear mixed-effects crown width model for Dacrydium pierrei and Podocarpus imbricatus in tropical China

    Article • Forest Ecology and Management, October 2021, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  51. A climate sensitive mixed-effects diameter class mortality model for Prince Rupprecht larch (Larix gmelinii var. principis-rupprechtii) in northern China

    Article • Forest Ecology and Management, July 2021, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  52. A Hybrid Approach of Combining Random Forest with Texture Analysis and VDVI for Desert Vegetation Mapping Based on UAV RGB Data

    Article • Remote Sensing, May 2021, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  53. Generalized or general mixed-effect modelling of tree morality of Larix gmelinii subsp. principis-rupprechtii in Northern China

    Article • Journal of Forestry Research, March 2021, Springer Science + Business Media

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  54. Modeling form factors for sal (Shorea robusta Gaertn.) using tree and stand measures, and random effects

    Article • Forest Ecology and Management, February 2021, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  55. Intra-and interannual climate variability drives the radial growth of Pinus wallichiana in the Nepalese Himalayas

    Article • Plant Ecology & Diversity, November 2020, Taylor & Francis

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  56. Nonlinear mixed-effects height to crown base model based on both airborne LiDAR and field datasets for Picea crassifolia Kom trees in northwest China

    Article • Forest Ecology and Management, October 2020, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  57. Analysis of the Spatial Differences in Canopy Height Models from UAV LiDAR and Photogrammetry

    Article • Remote Sensing, September 2020, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  58. Method of Estimating Degraded Forest Area: Cases from Dominant Tree Species from Guangdong and Tibet in China

    Article • Forests, August 2020, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  59. Prediction of Individual Tree Diameter and Height to Crown Base Using Nonlinear Simultaneous Regression and Airborne LiDAR Data

    Article • Remote Sensing, July 2020, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  60. Sunspot area as unexplored trend inside radial growth of European beech in Krkonoše Mountains: a forest science from different perspective

    Article • European Journal of Forest Research, July 2020, Springer Science + Business Media

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  61. Modeling Height–Diameter Relationship for Poplar Plantations Using Combined-Optimization Multiple Hidden Layer Back Propagation Neural Network

    Article • Forests, April 2020, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  62. Prediction of Individual Tree Diameter Using a Nonlinear Mixed-Effects Modeling Approach and Airborne LiDAR Data

    Article • Remote Sensing, March 2020, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  63. Comparing independent climate-sensitive models of aboveground biomass and diameter growth with their compatible simultaneous model system for three larch species in China

    Article • International Journal of Biomathematics, October 2019, World Scientific Pub Co Pte Lt

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  64. Afforested farmland vs. forestland: Effects of bark stripping by Cervus elaphus and climate on production potential and structure of Picea abies forests

    Article • PLOS One, August 2019, PLOS

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  65. A GENERALIZED ABOVEGROUND BIOMASS MODEL FOR JUVENILE INDIVIDUALS OF Rhododendron arboreum (SM.) IN NEPAL

    Article • CERNE, June 2019, FapUNIFESP (SciELO)

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  66. Generalized Nonlinear Mixed-Effects Individual Tree Diameter Increment Models for Beech Forests in Slovakia

    Article • Forests, May 2019, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  67. Timber and Branch Volume Prediction: Effects of Stand and Site Characteristics on Dendromass and Timber-To-Branch Volume Ratio of Norway Spruce in Managed Forests

    Article • Forests, February 2019, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  68. A Nonlinear Mixed-Effects Height-to-Diameter Ratio Model for Several Tree Species Based on Czech National Forest Inventory Data

    Article • Forests, January 2019, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  69. Roe deer (Capreolus capreolus) mortality in relation to fodder harvest in agricultural landscape

    Article • Mammalia, January 2019, De Gruyter

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  70. Defining Deforestation Patterns Using Satellite Images from 2000 and 2017: Assessment of Forest Management in Miombo Forests—A Case Study of Huambo Province in Angola

    Article • Sustainability, December 2018, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  71. Modelling individual tree height–diameter relationships for multi-layered and multi-species forests in central Europe

    Article • Trees, September 2018, Springer Science + Business Media

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  72. Generalized Nonlinear Mixed-Effects Individual Tree Crown Ratio Models for Norway Spruce and European Beech

    Article • Forests, September 2018, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  73. Windbreak Efficiency in Agricultural Landscape of the Central Europe: Multiple Approaches to Wind Erosion Control

    Article • Environmental Management, August 2018, Springer Science + Business Media

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  74. Effect of thinning regimes on growth and development of crop trees in Fagus sylvatica stands of Central Europe over fifty years

    Article • Dendrobiology, May 2018, Bogucki Wydawnictwo Naukowe

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  75. Comparing height–age and height–diameter modelling approaches for estimating site productivity of natural uneven-aged forests

    Article • Forestry An International Journal of Forest Research, March 2018, Oxford University Press (OUP)

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  76. Modelling individual tree height to crown base of Norway spruce (Picea abies (L.) Karst.) and European beech (Fagus sylvatica L.)

    Article • PLOS One, October 2017, PLOS

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  77. Modelling crown width–diameter relationship for Scots pine in the central Europe

    Article • Trees, August 2017, Springer Science + Business Media

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  78. Individual tree aboveground biomass for Castanopsis indica in the mid-hills of Nepal

    Article • Agroforestry Systems, July 2017, Springer Science + Business Media

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  79. Modelling individual tree diameter growth for Norway spruce in the Czech Republic using a generalized algebraic difference approach

    Article • Journal of Forest Science, May 2017, Czech Academy of Agricultural Sciences

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  80. Allometric Bark Biomass Model for Daphne bholua in the Mid-Hills of Nepal

    Article • Mountain Research and Development, May 2017, International Mountain Society (IMS) and United Nations University

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  81. A Basal Area Increment-Based Approach of Site Productivity Evaluation for Multi-Aged and Mixed Forests

    Article • Forests, April 2017, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  82. A generalized interregional nonlinear mixed-effects crown width model for Prince Rupprecht larch in northern China

    Article • Forest Ecology and Management, April 2017, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  83. Modelling a system of nonlinear additive crown width models applying seemingly unrelated regression for Prince Rupprecht larch in northern China

    Article • Forest Ecology and Management, February 2017, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  84. Modelling tree crown-to-bole diameter ratio for Norway spruce and European beech

    Article • Silva Fennica, January 2017, Finnish Society of Forest Science

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  85. A generalized nonlinear mixed-effects height to crown base model for Mongolian oak in northeast China

    Article • Forest Ecology and Management, January 2017, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  86. Modeling individual tree height growth of Norway spruce and Scots pine from national forest inventory data in Norway

    Article • Scandinavian Journal of Forest Research, December 2016, Taylor & Francis

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  87. Nonlinear mixed effect height-diameter model for mixed species forests in the central part of the Czech Republic

    Article • Journal of Forest Science, October 2016, Czech Academy of Agricultural Sciences

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  88. Developing an Improved Parameter Estimation Method for the Segmented Taper Equation through Combination of Constrained Two-Dimensional Optimum Seeking and Least Square Regression

    Article • Forests, August 2016, MDPI AG

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  89. Modeling individual tree height to diameter ratio for Norway spruce and European beech in Czech Republic

    Article • Trees, June 2016, Springer Science + Business Media

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  90. Individual tree basal area growth models for Chir pine (Pinus roxberghii Sarg.) in western Nepal

    Article • Journal of Forest Science, June 2016, Czech Academy of Agricultural Sciences

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  91. Human-wildlife interactions

    Article • Oryx, May 2016, Cambridge University Press

    Mr Buddi Poudel, Dr. Thakur Silwal , Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  92. Individual tree crown width models for Norway spruce and European beech in Czech Republic

    Article • Forest Ecology and Management, April 2016, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  93. Injury Severity of Wildlife Attacks on Humans in the Vicinity of Chitwan National Park, Nepal

    Article • Journal of Biodiversity Management & Forestry, January 2016, OMICS Publishing Group

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025), Dr. Thakur Silwal

  94. Modeling height-diameter relationships for Norway spruce, Scots pine, and downy birch using Norwegian national forest inventory data

    Article • Forest Science and Technology, January 2015, Taylor & Francis

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  95. Developing, testing and application of rodent population dynamics and capture models based on an adjusted Leslie matrix-based population approach

    Article • International Journal of Biomathematics, May 2014, World Scientific Pub Co Pte Lt

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  96. Modeling above-ground biomass for three tropical tree species at their juvenile stage

    Article • Forest Science and Technology, January 2014, Taylor & Francis

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  97. Modelling height-diameter relationship for Pinus wallichiana trees for Lete and Kunjo of Mustang district

    Article • Banko Janakari, November 2013, Nepal Journals Online (NepJOL)

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  98. Nonlinear mixed-effects crown width models for individual trees of Chinese fir (Cunninghamia lanceolata) in south-central China

    Article • Forest Ecology and Management, August 2013, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  99. Parameter estimation of nonlinear mixed-effects models using first-order conditional linearization and the EM algorithm

    Article • Journal of Applied Statistics, February 2013, Taylor & Francis

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  100. Allometric biomass models for bark of Cinnamomum tamala in mid-hill of Nepal

    Article • Biomass and Bioenergy, December 2012, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  101. Site index prediction from site and climate variables for Norway spruce and Scots pine in Norway

    Article • Scandinavian Journal of Forest Research, October 2012, Taylor & Francis

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  102. Modelling individual tree basal area growth

    Article • Forest Science and Technology, March 2012, Taylor & Francis

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  103. Modelling dry matter allocation within Alnus nepalensis D. Don trees in Nepal

    Article • International Journal of Psychology and Counselling, February 2012, Academic Journals

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  104. Modelling dominant height growth from national forest inventory individual tree data with short time series and large age errors

    Article • Forest Ecology and Management, December 2011, Elsevier

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  105. Using the dummy variable model approach to construct compatible single-tree biomass equations at different scales — a case study for Masson pine (Pinus massoniana) in southern China

    Article • Canadian Journal of Forest Research, July 2011, Canadian Science Publishing

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  106. Economic valuation of water supply service from two community forests in Palpa district

    Article • Banko Janakari, August 2010, Nepal Journals Online (NepJOL)

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  107. Modelling height-diameter relationship for Chir pine trees

    Article • Banko Janakari, January 1970, Nepal Journals Online (NepJOL)

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  108. Modelling growing space requirement for Alnus nepalensis D. Don in Nepal

    Article • Banko Janakari, January 1970, Nepal Journals Online (NepJOL)

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)

  109. Soil and vegetation carbon pools in two community forests of Palpa district, Nepal

    Article • Banko Janakari, January 1970, Nepal Journals Online (NepJOL)

    Dr Ram P. Sharma (recognized among the world's top 2% scientist in 2025)