Subrata Nandy

2.6k total citations
84 papers, 1.9k citations indexed

About

Subrata Nandy is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Subrata Nandy has authored 84 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Ecology, 36 papers in Global and Planetary Change and 28 papers in Environmental Engineering. Recurrent topics in Subrata Nandy's work include Remote Sensing in Agriculture (40 papers), Remote Sensing and LiDAR Applications (25 papers) and Forest ecology and management (15 papers). Subrata Nandy is often cited by papers focused on Remote Sensing in Agriculture (40 papers), Remote Sensing and LiDAR Applications (25 papers) and Forest ecology and management (15 papers). Subrata Nandy collaborates with scholars based in India, Sri Lanka and Netherlands. Subrata Nandy's co-authors include Ritika Srinet, S. P. S. Kushwaha, Hitendra Padalia, S. P. S. Kushwaha, Surajit Ghosh, Reshu Agarwal, Rajiv Pandey, Ajay Gupta, V. K. Dadhwal and Vishal Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Subrata Nandy

80 papers receiving 1.9k citations

Peers

Countries citing papers authored by Subrata Nandy

Since Specialization

Citations

This map shows the geographic impact of Subrata Nandy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Subrata Nandy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subrata Nandy more than expected).

Fields of papers citing papers by Subrata Nandy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subrata Nandy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Subrata Nandy. The network helps show where Subrata Nandy may publish in the future.

Co-authorship network of co-authors of Subrata Nandy

This figure shows the co-authorship network connecting the top 25 collaborators of Subrata Nandy. A scholar is included among the top collaborators of Subrata Nandy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Subrata Nandy. Subrata Nandy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Harnessing Time-Series Satellite Data and Deep Learning to Monitor Historical Patterns of Deforestation in Eastern Himalayan Foothills of India 2025 ·Journal of the Indian Society of Remote Sensing ·(unknown), Subrata Nandy, Hitendra Padalia, (unknown), Arun Jyoti Nath, S. P. S. Kushwaha, Ashesh Kumar Das	2
2	Nilgai (Boselaphus tragocamelus) Habitat Evaluation in Asola-Bhatti Wildlife Sanctuary, Delhi Using Multi-Criteria Analysis 2024 ·International Journal of Ecology and Environmental Sciences ·S. P. S. Kushwaha, Subrata Nandy, (unknown)	0
3	Spatially Explicit climate change vulnerability assessment of ecological systems along altitudinal gradients in the Indian Himalayan region 2024 ·Environmental and Sustainability Indicators ·Ajay Gupta, Subrata Nandy, Arun Jyoti Nath, (unknown), Rajiv Pandey	11
4	Vegetation disturbance and regrowth dynamics in shifting cultivation landscapes 2024 ·Scientific Reports ·(unknown), Subrata Nandy, Krishna Pada Das, (unknown), Hitendra Padalia, Arun Jyoti Nath, K. C. Majumdar, (unknown), (unknown), (unknown), Ashesh Kumar Das, S. P. S. Kushwaha, R. P. Singh	4
5	Deciphering Tropical Tree Communities Using Earth Observation Data and Machine Learning 2023 ·Current Science ·(unknown), Hitendra Padalia, (unknown), (unknown), Subrata Nandy, C. Sudhakar Reddy	0
6	Spatio-temporal dynamics of water use efficiency over forest ecosystems using time series satellite data and carbon flux measurements 2023 ·Forest Ecology and Management ·(unknown), Subrata Nandy, N. R. Patel, Hitendra Padalia, Ritika Srinet, Taibanganba Watham	2
7	Aboveground Forest Biomass Estimation by the Integration of TLS and ALOS PALSAR Data Using Machine Learning 2023 ·Remote Sensing ·(unknown), (unknown), Subrata Nandy, Hitendra Padalia, Surajit Ghosh, Ankur Srivastava, Nikul Kumari	13
8	Forest Aboveground Biomass Prediction by Integrating Terrestrial Laser Scanning Data, Landsat 8 OLI-Derived Forest Canopy Density and Spectral Indices 2023 ·Journal of the Indian Society of Remote Sensing ·(unknown), Subrata Nandy	5
9	Application of remote sensing-based spectral variability hypothesis to improve tree diversity estimation of seasonal tropical forest considering phenological variations 2023 ·Geocarto International ·(unknown), Hitendra Padalia, (unknown), (unknown), Subrata Nandy	7
10	Determinants of phytolith occluded carbon in bamboo stands across forest types in the eastern Indian Himalayas 2022 ·The Science of The Total Environment ·(unknown), (unknown), (unknown), Gudeta W. Sileshi, Arun Jyoti Nath, Subrata Nandy, Ashesh Kumar Das	8
11	Assessment of sal (Shorea robusta) forest phenology and its response to climatic variables in India 2021 ·Environmental Monitoring and Assessment ·Subrata Nandy, Surajit Ghosh, Swati Singh	6
12	Seasonal dynamics and impact factors of atmospheric CO2 concentration over subtropical forest canopies: observation from eddy covariance tower and OCO-2 satellite in Northwest Himalaya, India 2021 ·Environmental Monitoring and Assessment ·Taibanganba Watham, Hitendra Padalia, Ritika Srinet, Subrata Nandy, (unknown), Prakash Chauhan	12
13	Are phenological variations in natural teak (Tectona grandis) forests of India governed by rainfall? A remote sensing based investigation 2019 ·Environmental Monitoring and Assessment ·Surajit Ghosh, Subrata Nandy, (unknown), (unknown), S. P. S. Kushwaha	9
14	Random forest regression modelling for forest aboveground biomass estimation using RISAT-1 PolSAR and terrestrial LiDAR data 2016 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·(unknown), Shashi Kumar, Subrata Nandy	10
15	Rapid assessment of recent flood episode in Kaziranga National Park, Assam using remotely sensed satellite data. 2016 ·Current Science ·Surajit Ghosh, Subrata Nandy, (unknown)	17
16	Forest carbon stock assessment at Barkot Flux tower Site (BFS) using field inventory, Landsat-8 OLI data and geostatistical techniques 2016 ·International Journal of Multidisciplinary Research and Development ·Taibanganba Watham, S. P. S. Kushwaha, Subrata Nandy, N. R. Patel, Surajit Ghosh	4
17	Mapping aboveground woody biomass using forest inventory, remote sensing and geostatistical techniques 2015 ·Environmental Monitoring and Assessment ·(unknown), Subrata Nandy	41
18	Growing stock and woody biomass assessment in Asola-Bhatti Wildlife Sanctuary, Delhi, India 2014 ·Environmental Monitoring and Assessment ·S. P. S. Kushwaha, Subrata Nandy, (unknown)	29
19	Plant Richness Modelling in South Gujarat Using Remote Sensing and Geographic Information System 2013 ·Indian Forester ·Ganesh D. Bhatt, S. P. S. Kushwaha, Subrata Nandy, Kiran Bargali, (unknown), (unknown), M Dániel	2
20	Identification of Swamp Deer (Cervus duvauceli duvauceli Cuvier) Potential Habitat in Jhilmil Jheel Conservation Reserve, Uttarakhand, India Using Multi-Criteria Analysis 2012 ·Environmental Management ·Subrata Nandy, S. P. S. Kushwaha, (unknown)	14

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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