Manik Bhattacharjee

32 total papers · 1.1k total citations
20 papers, 598 citations indexed

About

Manik Bhattacharjee is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Manik Bhattacharjee has authored 20 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Neurology. Recurrent topics in Manik Bhattacharjee's work include Neurological disorders and treatments (9 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Manik Bhattacharjee is often cited by papers focused on Neurological disorders and treatments (9 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Manik Bhattacharjee collaborates with scholars based in France, United States and Canada. Manik Bhattacharjee's co-authors include Olivier David, Éric Bardinet, Jérôme Yelnik, Brigitte Piallat, Stéphan Chabardès, Laurent Goetz, Yohan Attal, Benoit R. Cottereau, Sylvain Baillet and Yoshio Okada and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and The Journal of Comparative Neurology.

In The Last Decade

Manik Bhattacharjee

19 papers receiving 592 citations

Author Peers

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

Author Last Decade Papers Cites
Manik Bhattacharjee 345 225 191 94 85 20 598
V. Diekmann 302 0.9× 217 1.0× 106 0.6× 109 1.2× 65 0.8× 32 599
Ellison Fernando Cardoso 205 0.6× 275 1.2× 65 0.3× 80 0.9× 141 1.7× 23 525
Abdul Rauf Anwar 297 0.9× 162 0.7× 131 0.7× 69 0.7× 76 0.9× 27 497
Nivedita Agarwal 276 0.8× 116 0.5× 124 0.6× 133 1.4× 147 1.7× 44 669
Seung‐Hyun Jin 445 1.3× 123 0.5× 94 0.5× 65 0.7× 48 0.6× 31 640
Ben A. Duffy 221 0.6× 56 0.2× 220 1.2× 73 0.8× 155 1.8× 26 646
Duanyu Ni 325 0.9× 221 1.0× 188 1.0× 241 2.6× 67 0.8× 52 579
Hirotomo Ninomiya 347 1.0× 64 0.3× 94 0.5× 121 1.3× 69 0.8× 24 586
Zhipei Ling 261 0.8× 233 1.0× 147 0.8× 91 1.0× 116 1.4× 50 634
Limin Sun 419 1.2× 43 0.2× 139 0.7× 86 0.9× 58 0.7× 35 695

Countries citing papers authored by Manik Bhattacharjee

Since Specialization
Citations

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

Fields of papers citing papers by Manik Bhattacharjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manik Bhattacharjee

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