Rajeev Agarwal

3.4k citations
96 papers · 2.8k · h-index 26

Impact in

Papers in

Rajeev Agarwal

92 papers receiving 2.6k citations

Peers

Rajeev Agarwal
Comparison fields: 5 of 154
  • Cognitive Neuroscience 628
  • Infectious Diseases 482
  • Signal Processing 308
  • Public Health, Environmental and Occupational Health 643
  • Equine 38
Replace Michael Gurevich with:
Michael Gurevich Israel
P.C. Ng Hong Kong
Bernard A. Cohen United States
Einar Wilder‐Smith Singapore
David J. Klein United States
Masaya Kubota Japan
Toshimitsu Kobayashi Japan
Hiroaki Takahashi Japan
Jong‐In Kim South Korea
William Y. Chey United States
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Citations per field
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Citations per year

Countries citing papers authored by Rajeev Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rajeev Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rajeev Agarwal Line = papers co-authored together Rajeev Agarwal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000257
2 1997193
3 2001188
4 1998145
5 1998138
6 1999127
7 1996112
8 200699
9 200198
10 199989
11 199586
12 201180
13 200372
14 200764
15 200059
16 200557
17 199251
18 200048
19 199544
20 202243

About Rajeev Agarwal

Rajeev Agarwal is a scholar working on Cognitive Neuroscience, Signal Processing, Artificial Intelligence, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 96 papers that have together received 2.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (22 papers), Blind Source Separation Techniques (13 papers), Viral Infections and Vectors (8 papers), Mosquito-borne diseases and control (8 papers), Advanced Adaptive Filtering Techniques (6 papers), Neural dynamics and brain function (6 papers), Sleep and Wakefulness Research (5 papers) and Stress Responses and Cortisol (5 papers). The work is most often cited by research in Cognitive Neuroscience (628 citations), Infectious Diseases (482 citations), Signal Processing (308 citations), Public Health, Environmental and Occupational Health (643 citations) and Equine (38 citations). Rajeev Agarwal has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Jean Gotman, U. C. Chaturvedi, E.A. Elbishbishi, Abu Salim Mustafa, Danny Flanagan, M.N.S. Swamy, Rachel R Caspi, Chi‐Chao Chan, Jean Gotman and Lois Boggess. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Clinical Neurophysiology, The Journal of Immunology, Journal of Medical Virology and American Journal of Physiology-Endocrinology and Metabolism.

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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