Rajeev Agarwal

5.0k citations
123 papers · 3.9k indexed · h-index 35

Rajeev Agarwal

116 papers receiving 3.8k citations

Peers

Rajeev Agarwal
Comparison fields: 5 of 159
  • Ophthalmology 679
  • Immunology 1.0k
  • Rheumatology 523
  • Cognitive Neuroscience 654
  • Infectious Diseases 614
Replace Jun‐ichi Suzuki with:
Jun‐ichi Suzuki Japan
Michael M. Paparella United States
Yuki Inoue Japan
P.C. Ng Hong Kong
Hiroshi Matsuda Japan
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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-authorship network

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
#Work
1 20250
2 20250
3 20233
4
VHDL Implementation of Non Restoring DivisionAlgorithm Using High Speed Adder/Subtractor
201314
5 201179
6
Apomorphine Regulates TGF-β1 and TGF-β2 Expression in Human Fetal Retinal Pigment Epithelial Cells
20094
7 200826
8 200729
9 200669
10 2005115
11 200516
12 2004118
13 200294
14 200210
15 200216
16 2000248
17 1997181
18
Semantic Feature Extraction From Technical Texts With Limited Human Intervention
19957
19
Disambiguation of prepositional phrases in automatically labelled technical text
199125
20 19912

About Rajeev Agarwal

Rajeev Agarwal is a scholar working on Signal Processing, Behavioral Neuroscience, Cognitive Neuroscience, Ophthalmology and Immunology, having authored 123 papers that have together received 3.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (23 papers), Blind Source Separation Techniques (13 papers), Systemic Lupus Erythematosus Research (11 papers), Ocular Diseases and Behçet’s Syndrome (11 papers), T-cell and B-cell Immunology (10 papers), Viral Infections and Vectors (8 papers), Neural dynamics and brain function (8 papers) and Mosquito-borne diseases and control (8 papers). The work is most often cited by research in Ophthalmology (679 citations), Immunology (1.0k citations), Rheumatology (523 citations), Cognitive Neuroscience (654 citations) and Infectious Diseases (614 citations). Rajeev Agarwal has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Rachel R Caspi, Jean Gotman, Phyllis B. Silver, U. C. Chaturvedi, E.A. Elbishbishi, Abu Salim Mustafa, Chi‐Chao Chan, Danny Flanagan, Rafael S. Grajewski and Chi-Chao Chan. Their work appears in journals such as The Journal of Immunology, IEEE Transactions on Biomedical Engineering, Clinical Neurophysiology, Journal of Clinical Neurophysiology and Journal of Medical Virology.

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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