Mikail Rubinov

36 papers receiving 11.6k citations

Hit Papers

Complex network measures of brain connectivity: Uses and ...2009202620142020200920112.5k5.0k7.5k

Peers

Mikail Rubinov
Comparison fields: 5 of 182
  • Cognitive Neuroscience 9.7k
  • Radiology, Nuclear Medicine and Imaging 3.8k
  • Experimental and Cognitive Psychology 1.8k
  • Psychiatry and Mental health 1.1k
  • Cellular and Molecular Neuroscience 1.0k
Replace Dimitri Van De Ville with:
Dimitri Van De Ville Switzerland
Patric Hagmann Switzerland
Christopher J. Honey United States
Timothy O. Laumann United States
Jianfeng Feng China
Jinhui Wang China
Alexander L. Cohen United States
Dante Mantini Belgium
W.D. Penny United Kingdom
Michael Breakspear Australia
Mikail Rubinov relative to Dimitri Van De Ville Switzerland Dimitri Van De Ville's profile →
Citations per field
00.5×1.7×
Dimitri Van De Ville · 1×
Citations per year

Countries citing papers authored by Mikail Rubinov

Since Specialization
Citations

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

Fields of papers citing papers by Mikail Rubinov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikail Rubinov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikail Rubinov. A scholar is included among the top collaborators of Mikail Rubinov 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 Mikail Rubinov. Mikail Rubinov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 9
3 6
4 18
5 194
6 31
7 41
8 21
9 60
10 58
11 181
12 64
13 81
14 46
15 276
16 106
17
Weight-conserving characterization of complex functional brain networksbreakdown →
640
18
Complex network measures of brain connectivity: Uses and interpretationsbreakdown →
8252
19 150
20 30

About Mikail Rubinov

Mikail Rubinov is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology, having authored 36 papers that have together received 11.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (26 papers), Neural dynamics and brain function (23 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). The work is most often cited by research in Cognitive Neuroscience (9.7k citations), Radiology, Nuclear Medicine and Imaging (3.8k citations) and Experimental and Cognitive Psychology (1.8k citations). Mikail Rubinov has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Olaf Sporns, Edward T. Bullmore, Michael Breakspear, Leanne M. Williams, S. A. Knock, Sifis Micheloyannis, Cornelis J. Stam, Anthony Harris, Petra E. Vértes and John Suckling. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026