Maxim Sharaev

92 total papers · 569 total citations
38 papers, 270 citations indexed

About

Maxim Sharaev is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Maxim Sharaev has authored 38 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in Maxim Sharaev's work include Functional Brain Connectivity Studies (18 papers), Neural dynamics and brain function (10 papers) and Advanced MRI Techniques and Applications (7 papers). Maxim Sharaev is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Neural dynamics and brain function (10 papers) and Advanced MRI Techniques and Applications (7 papers). Maxim Sharaev collaborates with scholars based in Russia, Germany and Canada. Maxim Sharaev's co-authors include Vadim Ushakov, Boris M. Velichkovsky, Marie Arsalidou, Evgeny Burnaev, Sagana Vijayarajah, Alexander Bernstein, Alexey Artemov, Olga Martynova, Galina Portnova and Olga Sysoeva and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Information Sciences.

In The Last Decade

Maxim Sharaev

35 papers receiving 266 citations

Author Peers

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

Author Last Decade Papers Cites
Maxim Sharaev 196 55 40 27 21 38 270
Petra Hermann 206 1.1× 69 1.3× 51 1.3× 13 0.5× 15 0.7× 24 292
Yul‐Wan Sung 181 0.9× 76 1.4× 30 0.8× 24 0.9× 31 1.5× 29 284
Junji Ma 207 1.1× 78 1.4× 70 1.8× 19 0.7× 9 0.4× 22 263
Tongpeng Chu 112 0.6× 110 2.0× 33 0.8× 14 0.5× 38 1.8× 28 227
Dongha Lee 185 0.9× 68 1.2× 29 0.7× 27 1.0× 11 0.5× 30 284
Xuemin Wang 151 0.8× 32 0.6× 36 0.9× 50 1.9× 40 1.9× 30 292
Done‐Sik Yoo 131 0.7× 63 1.1× 29 0.7× 47 1.7× 8 0.4× 21 316
Jessica Samogin 275 1.4× 28 0.5× 16 0.4× 19 0.7× 11 0.5× 19 327
Yueheng Peng 257 1.3× 37 0.7× 41 1.0× 19 0.7× 13 0.6× 23 303
Binke Yuan 247 1.3× 119 2.2× 36 0.9× 8 0.3× 9 0.4× 22 310

Countries citing papers authored by Maxim Sharaev

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Sharaev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Sharaev

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