Raka Maitra

37 total papers · 448 total citations
14 papers, 343 citations indexed

About

Raka Maitra is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Raka Maitra has authored 14 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 4 papers in Psychiatry and Mental health and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Raka Maitra's work include Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (5 papers) and Schizophrenia research and treatment (4 papers). Raka Maitra is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (5 papers) and Schizophrenia research and treatment (4 papers). Raka Maitra collaborates with scholars based in Germany, United Kingdom and Switzerland. Raka Maitra's co-authors include Igor Nenadić, Stefan Smesny, Christian Gaser, Heinrich Sauer, Maren Dietzek, Kerstin Langbein, Jürgen R. Reichenbach, Ralf G.M. Schlösser, Gerd Wagner and H Burmeister and has published in prestigious journals such as BMJ, Cerebral Cortex and Psychological Medicine.

In The Last Decade

Raka Maitra

13 papers receiving 341 citations

Author Peers

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

Author Last Decade Papers Cites
Raka Maitra 259 123 91 47 34 14 343
Navona Calarco 253 1.0× 123 1.0× 110 1.2× 60 1.3× 19 0.6× 20 374
Kristina Sabaroedin 275 1.1× 129 1.0× 75 0.8× 41 0.9× 24 0.7× 12 358
Lorenzo Mancuso 265 1.0× 121 1.0× 63 0.7× 48 1.0× 10 0.3× 17 349
Muriel Bruchhage 194 0.7× 64 0.5× 85 0.9× 14 0.3× 50 1.5× 21 375
Tineke K. Steiger 183 0.7× 47 0.4× 73 0.8× 45 1.0× 33 1.0× 11 397
T. Kawashima 174 0.7× 84 0.7× 122 1.3× 42 0.9× 35 1.0× 10 334
Mami Nakashima 185 0.7× 109 0.9× 91 1.0× 64 1.4× 35 1.0× 15 346
Sofia Wenzler 198 0.8× 92 0.7× 157 1.7× 82 1.7× 14 0.4× 13 374
Jorge Hormovas 284 1.1× 146 1.2× 73 0.8× 41 0.9× 9 0.3× 10 385
Sara Ambrosino 224 0.9× 62 0.5× 110 1.2× 40 0.9× 28 0.8× 9 361

Countries citing papers authored by Raka Maitra

Since Specialization
Citations

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

Fields of papers citing papers by Raka Maitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raka Maitra

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