Mrinal Pahwa

56 total papers · 1.0k total citations
39 papers, 665 citations indexed

About

Mrinal Pahwa is a scholar working on Surgery, Cognitive Neuroscience and Urology. According to data from OpenAlex, Mrinal Pahwa has authored 39 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 9 papers in Cognitive Neuroscience and 8 papers in Urology. Recurrent topics in Mrinal Pahwa's work include Urological Disorders and Treatments (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Neural dynamics and brain function (6 papers). Mrinal Pahwa is often cited by papers focused on Urological Disorders and Treatments (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Neural dynamics and brain function (6 papers). Mrinal Pahwa collaborates with scholars based in India, United States and Pakistan. Mrinal Pahwa's co-authors include Eric C. Leuthardt, Carl D. Hacker, David T. Bundy, Abraham Z. Snyder, Maurizio Corbetta, Nicholas Szrama, Mohit Sharma, Anish Mitra, Marcus E. Raichle and Helmut Laufs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Mrinal Pahwa

35 papers receiving 652 citations

Author Peers

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

Author						Papers	Cites
Mrinal Pahwa	386	123	113	97	59	39	665
Rainer Beckmann	323 0.8×	142 1.2×	66 0.6×	71 0.7×	38 0.6×	31	766
Erik D. Gommer	158 0.4×	144 1.2×	106 0.9×	60 0.6×	33 0.6×	34	585
Catherine Delanöe	125 0.3×	146 1.2×	111 1.0×	34 0.4×	25 0.4×	31	769
Francesco Pompeo	211 0.5×	124 1.0×	68 0.6×	31 0.3×	11 0.2×	26	647
Emma Lewis	100 0.3×	310 2.5×	40 0.4×	35 0.4×	23 0.4×	55	598
Wolfgang Hamann	63 0.2×	52 0.4×	83 0.7×	184 1.9×	55 0.9×	33	765
W. W. Sleator	104 0.3×	38 0.3×	163 1.4×	43 0.4×	58 1.0×	29	730
Min Guan	175 0.5×	207 1.7×	29 0.3×	38 0.4×	18 0.3×	48	742
Neda Sadeghi	151 0.4×	275 2.2×	78 0.7×	66 0.7×	22 0.4×	46	707
András Horváth	253 0.7×	31 0.3×	185 1.6×	63 0.6×	20 0.3×	52	763

Countries citing papers authored by Mrinal Pahwa

Since Specialization

Citations

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

Fields of papers citing papers by Mrinal Pahwa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mrinal Pahwa

This figure shows the co-authorship network connecting the top 25 collaborators of Mrinal Pahwa. A scholar is included among the top collaborators of Mrinal Pahwa 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 Mrinal Pahwa. Mrinal Pahwa 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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