Rajeev Agarwal

5.0k total citations
123 papers, 3.9k citations indexed

About

Rajeev Agarwal is a scholar working on Cognitive Neuroscience, Signal Processing and Immunology. According to data from OpenAlex, Rajeev Agarwal has authored 123 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 19 papers in Signal Processing and 19 papers in Immunology. Recurrent topics in Rajeev Agarwal's work include EEG and Brain-Computer Interfaces (23 papers), Blind Source Separation Techniques (13 papers) and Systemic Lupus Erythematosus Research (11 papers). Rajeev Agarwal is often cited by papers focused on EEG and Brain-Computer Interfaces (23 papers), Blind Source Separation Techniques (13 papers) and Systemic Lupus Erythematosus Research (11 papers). Rajeev Agarwal collaborates with scholars based in United States, Canada and India. Rajeev Agarwal's 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 and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Rajeev Agarwal

116 papers receiving 3.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rajeev Agarwal United States 35 1.0k 707 679 654 614 123 3.9k
Michael M. Paparella United States 50 318 0.3× 261 0.4× 503 0.7× 886 1.4× 134 0.2× 504 10.0k
Jun‐ichi Suzuki Japan 45 908 0.9× 314 0.4× 339 0.5× 993 1.5× 94 0.2× 357 7.8k
Bernard A. Cohen United States 35 198 0.2× 225 0.3× 177 0.3× 460 0.7× 591 1.0× 179 5.6k
David J. Klein United States 37 408 0.4× 233 0.3× 126 0.2× 1.3k 2.0× 94 0.2× 92 5.1k
Lorenzo Pignataro Italy 39 391 0.4× 184 0.3× 226 0.3× 130 0.2× 229 0.4× 278 5.3k
Yuki Inoue Japan 29 608 0.6× 152 0.2× 352 0.5× 244 0.4× 246 0.4× 168 2.9k
Kenneth P. Johnson United States 30 2.0k 1.9× 367 0.5× 245 0.4× 134 0.2× 473 0.8× 101 9.5k
Satoshi Kuwabara Japan 68 766 0.7× 248 0.4× 202 0.3× 481 0.7× 706 1.1× 717 17.3k
Shinichi Hirose Japan 55 1.0k 1.0× 144 0.2× 299 0.4× 293 0.4× 651 1.1× 385 10.4k
Zhi­qun Wang China 42 355 0.3× 665 0.9× 584 0.9× 2.0k 3.1× 130 0.2× 193 5.1k

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 of co-authors of Rajeev Agarwal

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

All Works

20 of 20 papers shown
1.
Agarwal, Rajeev, et al.. (2025). An efficient methodology to composite fault detection and classification in wireless biosensor networks. Internet of Things. 32. 101623–101623.
2.
3.
Hiremath, Jagdish, Jagdish C. Mohan, Ashwani Mehta, et al.. (2023). Bempedoic Acid for Lipid Management in the Indian Population: An Expert Opinion. Cureus. 15(2). e35395–e35395. 3 indexed citations
4.
Agarwal, Rajeev, et al.. (2013). VHDL Implementation of Non Restoring DivisionAlgorithm Using High Speed Adder/Subtractor. International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering. 2(7). 3317–3324. 14 indexed citations
5.
Barkmeier, Daniel, Aashit Shah, Danny Flanagan, et al.. (2011). High inter-reviewer variability of spike detection on intracranial EEG addressed by an automated multi-channel algorithm. Clinical Neurophysiology. 123(6). 1088–1095. 79 indexed citations
6.
Maminishkis, Arvydas, et al.. (2009). Apomorphine Regulates TGF-β1 and TGF-β2 Expression in Human Fetal Retinal Pigment Epithelial Cells. Investigative Ophthalmology & Visual Science. 50(13). 3845–3845. 4 indexed citations
7.
Agarwal, Rajeev, Reiko Horai, Angelia Viley, et al.. (2008). Abrogation of Anti-Retinal Autoimmunity in IL-10 Transgenic Mice Due to Reduced T Cell Priming and Inhibition of Disease Effector Mechanisms. The Journal of Immunology. 180(8). 5423–5429. 26 indexed citations
8.
Silver, Phyllis B., Rajeev Agarwal, Isabelle Suffia, et al.. (2007). Hydrodynamic Vaccination with DNA Encoding an Immunologically Privileged Retinal Antigen Protects from Autoimmunity through Induction of Regulatory T Cells. The Journal of Immunology. 179(8). 5146–5158. 29 indexed citations
9.
Grajewski, Rafael S., Phyllis B. Silver, Rajeev Agarwal, et al.. (2006). Endogenous IRBP can be dispensable for generation of natural CD4+CD25+ regulatory T cells that protect from IRBP-induced retinal autoimmunity. The Journal of Experimental Medicine. 203(4). 851–856. 69 indexed citations
10.
Su, Shao Bo, Phyllis B. Silver, Rafael S. Grajewski, et al.. (2005). Essential Role of the MyD88 Pathway, but Nonessential Roles of TLRs 2, 4, and 9, in the Adjuvant Effect Promoting Th1-Mediated Autoimmunity. The Journal of Immunology. 175(10). 6303–6310. 115 indexed citations
11.
Martínez-Sierra, Gustavo, et al.. (2005). Automated extraction of aortic and pulmonary components of the second heart sound for the estimation of pulmonary artery pressure. PubMed. 3. 921–924. 16 indexed citations
12.
Agarwal, Rajeev & Rachel R Caspi. (2004). Rodent Models of Experimental Autoimmune Uveitis. Autoimmunity. 102. 395–420. 118 indexed citations
13.
Qian, Jiahua, et al.. (2002). Gene Transfer of Ig-Fusion Proteins Into B Cells Prevents and Treats Autoimmune Diseases. The Journal of Immunology. 168(9). 4788–4795. 94 indexed citations
14.
Flanagan, Danny, Rajeev Agarwal, & Jean Gotman. (2002). Computer-aided Spatial Classification of Epileptic Spikes. Journal of Clinical Neurophysiology. 19(2). 125–135. 10 indexed citations
15.
Flanagan, D., et al.. (2002). Improvement in the performance of automated spike detection using dipole source features for artefact rejection. Clinical Neurophysiology. 114(1). 38–49. 16 indexed citations
16.
Chaturvedi, U. C., Rajeev Agarwal, E.A. Elbishbishi, & Abu Salim Mustafa. (2000). Cytokine cascade in dengue hemorrhagic fever: implications for pathogenesis. FEMS Immunology & Medical Microbiology. 28(3). 183–188. 248 indexed citations
17.
Jones, Leslie S., Luiz Vicente Rizzo, Rajeev Agarwal, et al.. (1997). IFN-γ-deficient mice develop experimental autoimmune uveitis in the context of a deviant effector response. The Journal of Immunology. 158(12). 5997–6005. 181 indexed citations
18.
Agarwal, Rajeev. (1995). Semantic Feature Extraction From Technical Texts With Limited Human Intervention. 7 indexed citations
19.
Boggess, Lois, Rajeev Agarwal, & Ron Davis. (1991). Disambiguation of prepositional phrases in automatically labelled technical text. National Conference on Artificial Intelligence. 155–159. 25 indexed citations
20.
Boggess, Lois, et al.. (1991). The Automated Building and Updating of a Knowledge Base Through the Analysis of Natural Language Text. Journal of the Experimental Analysis of Behavior. 101(3). 355–72. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michael M. Paparella Breakdown of academic impact, for papers by Jun‐ichi Suzuki Breakdown of academic impact, for papers by Bernard A. Cohen Breakdown of academic impact, for papers by David J. Klein Breakdown of academic impact, for papers by Lorenzo Pignataro Breakdown of academic impact, for papers by Yuki Inoue Breakdown of academic impact, for papers by Kenneth P. Johnson Breakdown of academic impact, for papers by Satoshi Kuwabara Breakdown of academic impact, for papers by Shinichi Hirose Breakdown of academic impact, for papers by Zhi­qun Wang
Rankless by CCL
2026