Indian Institute of Remote Sensing

29.6k citations
1.8k papers ·

Impact in

Papers in

Indian Institute of Remote Sensing

1.7k papers receiving 29.4k citations

Peers

Indian Institute of Remote Sensing
Comparison fields: 5 of 190
  • Global and Planetary Change 13.7k
  • Environmental Engineering 8.9k
  • Ecological Modeling 1.6k
  • Atmospheric Science 6.5k
  • Ecology 8.1k
Replace National Institute of Hydrology with:
National Institute of Hydrology India
Ministry of Earth Sciences India
International Centre for Integrated Mountain Development Nepal
India Meteorological Department India
Wadia Institute of Himalayan Geology India
Wildlife Institute of India India
Government of Nepal Nepal
Department of Scientific and Industrial Research India
National Remote Sensing Centre India
Central Arid Zone Research Institute India
Indian Institute of Remote Sensing relative to National Institute of Hydrology India National Institute of Hydrology's profile →
Citations per field
00.5×10×14.8×
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 1.8k papers, which have received a total of 29.6k indexed citations . Scholars at this organization have produced 517 papers in Environmental Engineering, 633 papers in Global and Planetary Change, 255 papers in Media Technology, 483 papers in Atmospheric Science and 102 papers in Ecological Modeling on the topics of Remote Sensing in Agriculture (387 papers), Remote-Sensing Image Classification (245 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (180 papers), Flood Risk Assessment and Management (177 papers), Remote Sensing and Land Use (162 papers), Land Use and Ecosystem Services (155 papers), Remote Sensing and LiDAR Applications (151 papers) and Hydrology and Watershed Management Studies (150 papers). Their work is cited by papers focused on Global and Planetary Change (13.7k citations), Environmental Engineering (8.9k citations), Ecological Modeling (1.6k citations), Atmospheric Science (6.5k citations) and Ecology (8.1k 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 Current Science. Some of Indian Institute of Remote Sensing's most productive authors include P. S. Roy, V. K. Dadhwal, Subrata Nandy, S. P. S. Kushwaha, Praveen K. Thakur, N. R. Patel, Shashi Kumar, Suresh Kumar, Charu Singh and Sandeep Maithani.

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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