Subhaneil Lahiri

16 total papers · 1.0k total citations
7 papers, 382 citations indexed

About

Subhaneil Lahiri is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Subhaneil Lahiri has authored 7 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Subhaneil Lahiri's work include Neural dynamics and brain function (5 papers), Neural Networks and Applications (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Subhaneil Lahiri is often cited by papers focused on Neural dynamics and brain function (5 papers), Neural Networks and Applications (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Subhaneil Lahiri collaborates with scholars based in United States and India. Subhaneil Lahiri's co-authors include Surya Ganguli, Davide Gaiotto, Shiraz Minwalla, Indranil Biswas, Matthew T. Kaufman, Daniel J. O’Shea, Saurabh Vyas, Xulu Sun, Eric M. Trautmann and Krishna V. Shenoy and has published in prestigious journals such as Neuron, PLoS ONE and Journal of High Energy Physics.

In The Last Decade

Subhaneil Lahiri

7 papers receiving 374 citations

Author Peers

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

Author Last Decade Papers Cites
Subhaneil Lahiri 177 158 74 50 49 7 382
Dmitry Krotov 79 0.4× 24 0.2× 109 1.5× 56 1.1× 46 0.9× 13 362
Laurence F. Abbott 187 1.1× 63 0.4× 171 2.3× 19 0.4× 52 1.1× 7 414
Mark Kostuk 107 0.6× 33 0.2× 121 1.6× 36 0.7× 102 2.1× 14 356
F. Buchholtz 149 0.8× 149 0.9× 2 0.0× 24 0.5× 129 2.6× 12 370
Gemma Huguet 202 1.1× 70 0.4× 5 0.1× 25 0.5× 248 5.1× 25 445
Shigeru Kuroda 87 0.5× 154 1.0× 34 0.5× 10 0.2× 5 0.1× 28 432
Emil Sjulstok 19 0.1× 126 0.8× 6 0.1× 25 0.5× 16 0.3× 11 422
Keisuke Ota 274 1.5× 196 1.2× 7 0.1× 33 0.7× 37 0.8× 28 408
Jan-Matthis Lueckmann 149 0.8× 68 0.4× 4 0.1× 17 0.3× 19 0.4× 10 406
Pablo Villegas 235 1.3× 41 0.3× 2 0.0× 34 0.7× 156 3.2× 19 384

Countries citing papers authored by Subhaneil Lahiri

Since Specialization
Citations

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

Fields of papers citing papers by Subhaneil Lahiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhaneil Lahiri

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