Michal Ramot

30 total papers · 1.0k total citations
19 papers, 625 citations indexed

About

Michal Ramot is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Epidemiology. According to data from OpenAlex, Michal Ramot has authored 19 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Epidemiology. Recurrent topics in Michal Ramot's work include Neural dynamics and brain function (11 papers), Functional Brain Connectivity Studies (10 papers) and EEG and Brain-Computer Interfaces (7 papers). Michal Ramot is often cited by papers focused on Neural dynamics and brain function (11 papers), Functional Brain Connectivity Studies (10 papers) and EEG and Brain-Computer Interfaces (7 papers). Michal Ramot collaborates with scholars based in United States, Israel and United Kingdom. Michal Ramot's co-authors include Rafael Malach, Alex Martin, Michal Harel, Itzhak Fried, Uri Kramer, Fani Andelman, Svetlana Kipervasser, Lior Fisch, Miri Y. Neufeld and Yuval Nir and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Michal Ramot

18 papers receiving 615 citations

Author Peers

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

Author Last Decade Papers Cites
Michal Ramot 588 67 59 56 35 19 625
Olivier Dufor 575 1.0× 94 1.4× 69 1.2× 26 0.5× 49 1.4× 21 728
Dimitri J. Bayle 595 1.0× 96 1.4× 70 1.2× 45 0.8× 61 1.7× 19 724
Ann B. Barnet 474 0.8× 76 1.1× 29 0.5× 83 1.5× 48 1.4× 28 781
Brittany E. Burrows 454 0.8× 64 1.0× 116 2.0× 37 0.7× 50 1.4× 8 567
Carsten Gießing 522 0.9× 128 1.9× 67 1.1× 49 0.9× 52 1.5× 28 668
Ami Tsuchida 478 0.8× 102 1.5× 51 0.9× 92 1.6× 90 2.6× 19 697
Bin Wang 405 0.7× 57 0.9× 168 2.8× 35 0.6× 53 1.5× 38 567
Ruud L. van den Brink 654 1.1× 103 1.5× 88 1.5× 98 1.8× 41 1.2× 16 785
Yuwen Hung 456 0.8× 79 1.2× 95 1.6× 47 0.8× 86 2.5× 16 613
Lucie Bréchet 524 0.9× 56 0.8× 31 0.5× 36 0.6× 68 1.9× 19 614

Countries citing papers authored by Michal Ramot

Since Specialization
Citations

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

Fields of papers citing papers by Michal Ramot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Ramot

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