Raghav Garg

85 total papers · 1.2k total citations
45 papers, 879 citations indexed

About

Raghav Garg is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Raghav Garg has authored 45 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 19 papers in Biomedical Engineering and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Raghav Garg's work include Neuroscience and Neural Engineering (14 papers), Advanced Sensor and Energy Harvesting Materials (8 papers) and Graphene research and applications (7 papers). Raghav Garg is often cited by papers focused on Neuroscience and Neural Engineering (14 papers), Advanced Sensor and Energy Harvesting Materials (8 papers) and Graphene research and applications (7 papers). Raghav Garg collaborates with scholars based in United States, United Kingdom and India. Raghav Garg's co-authors include Tzahi Cohen‐Karni, Flavia Vitale, Sahil K. Rastogi, Noel T. Nuhfer, Vincent Meunier, Michael Lamparski, Venkatasubramanian Viswanathan, Hasnain Hafiz, Devora Cohen-Karni and Dilip Krishnamurthy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nano Letters.

In The Last Decade

Raghav Garg

41 papers receiving 870 citations

Hit Papers

Bio-inspired electronics:... 2025 2026 2025 10 20 30

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Raghav Garg 348 332 319 304 151 45 879
Dmitry Suyatin 435 1.3× 590 1.8× 201 0.6× 267 0.9× 67 0.4× 32 1.0k
Christopher Larson 242 0.7× 299 0.9× 217 0.7× 210 0.7× 57 0.4× 27 775
Gabriele Tullii 202 0.6× 237 0.7× 216 0.7× 195 0.6× 170 1.1× 30 722
Marie Jakešová 229 0.7× 279 0.8× 402 1.3× 148 0.5× 137 0.9× 25 780
Nathalia Peixoto 226 0.6× 279 0.8× 407 1.3× 306 1.0× 133 0.9× 56 979
Enhui He 126 0.4× 182 0.5× 260 0.8× 102 0.3× 69 0.5× 42 759
Yu‐Chuan Shih 196 0.6× 582 1.8× 93 0.3× 391 1.3× 273 1.8× 25 972
Andrea Zaffora 183 0.5× 528 1.6× 96 0.3× 374 1.2× 190 1.3× 49 872
Changchun Yu 351 1.0× 339 1.0× 146 0.5× 164 0.5× 82 0.5× 21 768
Vaishnavi Krishnamurthi 295 0.8× 444 1.3× 123 0.4× 446 1.5× 136 0.9× 25 908

Countries citing papers authored by Raghav Garg

Since Specialization
Citations

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

Fields of papers citing papers by Raghav Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raghav Garg

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

All Works

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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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