Indian Institute of Remote Sensing
Impact in
- Global and Planetary Change top 5%
- Land Use and Ecosystem Services
- Flood Risk Assessment and Management
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
- Groundwater and Watershed Analysis
Papers in
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- Remote Sensing and LiDAR Applications 168
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- Flood Risk Assessment and Management 210
- Land Use and Ecosystem Services 172
- Top scholars
- V. K. DadhwalP. S. RoySubrata NandyPraveen K. ThakurS. P. S. KushwahaSuresh KumarN. R. PatelShashi Kumar
- Journals
- Geocarto International (75 papers)International Journal of Remote Sensing (53 papers)Advances in Space Research (38 papers)Journal of the Indian Society of Remote Sensing (316 papers)Environmental Monitoring and Assessment (33 papers)
- Partner nations
- IndiaNetherlandsUnited States
In The Last Decade
Indian Institute of Remote Sensing
1.9k papers receiving 32.9k citations
Peers
Comparison fields: 5 of 189
- Global and Planetary Change 15.3k
- Environmental Engineering 9.8k
- Atmospheric Science 7.3k
- Ecological Modeling 1.7k
- Management, Monitoring, Policy and Law 4.3k
Countries citing scholars working at Indian Institute of Remote Sensing
This map shows the geographic impact of research produced by authors working at Indian Institute of Remote Sensing. 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 papers produced at Indian Institute of Remote Sensing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indian Institute of Remote Sensing more than expected).
Fields of papers published by authors at Indian Institute of Remote Sensing
This network shows the impact of papers affiliated with Indian Institute of Remote Sensing at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Indian Institute of Remote Sensing at the time of their publication.
About Indian Institute of Remote Sensing
In recent decades, authors affiliated with Indian Institute of Remote Sensing have published 2.0k papers, which have received a total of 33.4k indexed citations . Scholars at this organization have produced 581 papers in Environmental Engineering, 712 papers in Global and Planetary Change, 273 papers in Media Technology, 534 papers in Atmospheric Science and 109 papers in Ecological Modeling on the topics of Remote Sensing in Agriculture (413 papers), Remote-Sensing Image Classification (259 papers), Flood Risk Assessment and Management (210 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (187 papers), Hydrology and Watershed Management Studies (175 papers), Remote Sensing and Land Use (174 papers), Land Use and Ecosystem Services (172 papers) and Remote Sensing and LiDAR Applications (168 papers). Their work is cited by papers focused on Global and Planetary Change (15.3k citations), Environmental Engineering (9.8k citations), Atmospheric Science (7.3k citations), Ecological Modeling (1.7k citations) and Management, Monitoring, Policy and Law (4.3k citations). Authors at Indian Institute of Remote Sensing collaborate with scholars in India, Netherlands and United States and have published in prestigious journals including Geocarto International, International Journal of Remote Sensing, Advances in Space Research, Journal of the Indian Society of Remote Sensing and Environmental Monitoring and Assessment. Some of Indian Institute of Remote Sensing's most productive authors include V. K. Dadhwal, P. S. Roy, Subrata Nandy, Praveen K. Thakur, S. P. S. Kushwaha, Suresh Kumar, N. R. Patel, Shashi Kumar, Charu Singh and Hitendra Padalia.
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.