Indian Institute of Remote Sensing

35.4k citations
2.1k papers ·

Impact in

Papers in

Indian Institute of Remote Sensing

1.9k papers receiving 35.4k citations

Peers

Indian Institute of Remote Sensing
Comparison fields: 5 of 172
  • Environmental Engineering 6k
  • Ecological Modeling 1.2k
  • Global and Planetary Change 8.6k
  • Atmospheric Science 4.4k
  • Media Technology 2.6k
Replace National Institute of Hydrology with:
National Institute of Hydrology India
Ministry of Earth Sciences India
Space Applications Centre India
Government of Nepal Nepal
India Meteorological Department India
Wildlife Institute of India India
National Remote Sensing Centre India
Wadia Institute of Himalayan Geology India
Central Arid Zone Research Institute India
Indian Institute of Tropical Meteorology India
Indian Institute of Remote Sensing relative to National Institute of Hydrology India National Institute of Hydrology's profile →
Citations per field
00.5×5×10×15×19.4×
National Institute of Hydrology · 1×
Citations per year

Countries citing scholars working at Indian Institute of Remote Sensing

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 2.1k papers, which have received a total of 35.4k indexed citations . Scholars at this organization have produced 249 papers in Media Technology, 369 papers in Atmospheric Science, 313 papers in Environmental Engineering, 402 papers in Global and Planetary Change and 47 papers in Ecological Modeling on the topics of Remote Sensing in Agriculture (251 papers), Remote-Sensing Image Classification (226 papers), Remote Sensing and Land Use (198 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (187 papers), Cryospheric studies and observations (82 papers), Landslides and related hazards (72 papers), Remote Sensing and LiDAR Applications (71 papers) and Hydrology and Watershed Management Studies (67 papers). Their work is cited by papers focused on Environmental Engineering (6k citations), Ecological Modeling (1.2k citations), Global and Planetary Change (8.6k citations), Atmospheric Science (4.4k citations) and Media Technology (2.6k 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, Journal of the Indian Society of Remote Sensing, Advances in Space Research and Environmental Monitoring and Assessment. Some of Indian Institute of Remote Sensing's most productive authors include Vinay Kumar Dadhwal, P. S. Roy, Subrata Nandy, S. P. S. Kushwaha, Praveen Kumar Thakur, Suresh Kumar, N. R. Patel, Shashi Kumar, Charu Singh and Debashis Mitra.

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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