Michal Ramot
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Radiology, Nuclear Medicine and Imaging
- Cellular and Molecular Neuroscience
- Psychiatry and Mental health
- Co-authors
- Rafael MalachAlex MartinMichal HarelUri KramerFani AndelmanSvetlana KipervasserItzhak FriedMiri Y. Neufeld
- Topics
- Neural dynamics and brain function (11 papers)Functional Brain Connectivity Studies (10 papers)EEG and Brain-Computer Interfaces (7 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyCellular and Molecular Neuroscience
- Partner nations
- United StatesIsraelAustralia
In The Last Decade
Michal Ramot
18 papers receiving 625 citations
Peers
Comparison fields: 5 of 53
- Cognitive Neuroscience 598
- Experimental and Cognitive Psychology 69
- Radiology, Nuclear Medicine and Imaging 59
- Cellular and Molecular Neuroscience 56
- Psychiatry and Mental health 36
Countries citing papers authored by Michal Ramot
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 20 | |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 25 | |
| 7 | 0 | |
| 8 | 15 | |
| 9 | 13 | |
| 10 | 79 | |
| 11 | 24 | |
| 12 | 55 | |
| 13 | 16 | |
| 14 | 38 | |
| 15 | 9 | |
| 16 | 40 | |
| 17 | 46 | |
| 18 | 28 | |
| 19 | 202 |
About Michal Ramot
Michal Ramot is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Neurology, having authored 19 papers that have together received 635 indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Functional Brain Connectivity Studies (10 papers) and EEG and Brain-Computer Interfaces (7 papers). The work is most often cited by research in Cognitive Neuroscience (598 citations), Experimental and Cognitive Psychology (69 citations) and Cellular and Molecular Neuroscience (56 citations). Michal Ramot has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Rafael Malach, Alex Martin, Michal Harel, Uri Kramer, Fani Andelman, Svetlana Kipervasser, Itzhak Fried, Miri Y. Neufeld, Lior Fisch and Yuval Nir. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.
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.