Jyoteshwar Nagol

1.5k citations
16 papers · 1.1k indexed · 1 hit paper · h-index 11
Topics
Remote Sensing in Agriculture (8 papers)Atmospheric and Environmental Gas Dynamics (4 papers)Remote Sensing and LiDAR Applications (4 papers)

In The Last Decade

Jyoteshwar Nagol

16 papers receiving 1.1k citations

Hit Papers

Amazon forests maintain consistent canopy structure and g...20142026201820222014100200300

Peers

Jyoteshwar Nagol
Comparison fields: 5 of 72
  • Ecology 678
  • Global and Planetary Change 669
  • Environmental Engineering 337
  • Atmospheric Science 292
  • Nature and Landscape Conservation 135
Replace C. S. R. Neigh with:
C. S. R. Neigh United States
Rong Shang China
Sébastien Rapinel France
Paul Magdon Germany
Jennifer N. Hird Canada
Sergio Marconi United States
Yhasmin Mendes de Moura Brazil
Rikie Suzuki Japan
William Woodgate Australia
Kathleen M. Bergen United States
Jyoteshwar Nagol relative to C. S. R. Neigh United States C. S. R. Neigh's profile →
Citations per field
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C. S. R. Neigh · 1×
Citations per year

Countries citing papers authored by Jyoteshwar Nagol

Since Specialization
Citations

This map shows the geographic impact of Jyoteshwar Nagol'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 Jyoteshwar Nagol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyoteshwar Nagol more than expected).

Fields of papers citing papers by Jyoteshwar Nagol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jyoteshwar Nagol. 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 Jyoteshwar Nagol. The network helps show where Jyoteshwar Nagol may publish in the future.

Co-authorship network of co-authors of Jyoteshwar Nagol

This figure shows the co-authorship network connecting the top 25 collaborators of Jyoteshwar Nagol. A scholar is included among the top collaborators of Jyoteshwar Nagol 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 Jyoteshwar Nagol. Jyoteshwar Nagol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 7
2 8
3 1
4 4
5 11
6 61
7 59
8 38
9
Amazon forests maintain consistent canopy structure and greenness during the dry seasonbreakdown →
339
10 25
11 64
12 174
13 123
14 94
15 81
16
Generating a Long-term Land Data Record from the AVHRR and MODIS Instruments
1

About Jyoteshwar Nagol

Jyoteshwar Nagol is a scholar working on Environmental Engineering, Ecological Modeling and Ecology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (8 papers), Atmospheric and Environmental Gas Dynamics (4 papers) and Remote Sensing and LiDAR Applications (4 papers). The work is most often cited by research in Global and Planetary Change (669 citations), Ecological Modeling (125 citations) and Ecology (678 citations). Jyoteshwar Nagol has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Éric Vermote, Douglas C. Morton, Bruce D. Cook, C. C. Carabajal, Peter North, J. Rosette, David J. Harding, Michael Palace, Dongdong Wang and Stephen D. Prince. Their work appears in journals such as Nature, PLoS ONE and Remote Sensing of Environment.

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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