Leenoy Meshulam
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Statistical and Nonlinear Physics
- Molecular Biology
- Artificial Intelligence
- Co-authors
- William BialekCarlos D. BrodyJeffrey L. GauthierDavid W. TankTomoyuki ManoSam ReiterTeresa L. IglesiasMakoto Hiroi
- Topics
- Neural dynamics and brain function (4 papers)Gene Regulatory Network Analysis (1 paper)stochastic dynamics and bifurcation (1 paper)
- Journals
- NaturePhysical Review LettersNeuron
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Leenoy Meshulam
6 papers receiving 184 citations
Peers
Comparison fields: 5 of 52
- Cognitive Neuroscience 133
- Cellular and Molecular Neuroscience 79
- Statistical and Nonlinear Physics 36
- Molecular Biology 28
- Artificial Intelligence 14
Countries citing papers authored by Leenoy Meshulam
This map shows the geographic impact of Leenoy Meshulam'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 Leenoy Meshulam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leenoy Meshulam more than expected).
Fields of papers citing papers by Leenoy Meshulam
This network shows the impact of papers produced by Leenoy Meshulam. 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 Leenoy Meshulam. The network helps show where Leenoy Meshulam may publish in the future.
Co-authorship network of co-authors of Leenoy Meshulam
This figure shows the co-authorship network connecting the top 25 collaborators of Leenoy Meshulam. A scholar is included among the top collaborators of Leenoy Meshulam 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 Leenoy Meshulam. Leenoy Meshulam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | The renormalization group and information bottleneck: a unified framework | 0 |
| 3 | 63 | |
| 4 | 84 | |
| 5 | Can simple interactions capture complex features of neural activity underlying behavior in a virtual reality environment | 2 |
| 6 | Interpreting collective neural activity underlying spatial navigation in virtual reality | 2 |
| 7 | 13 |
About Leenoy Meshulam
Leenoy Meshulam is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 7 papers that have together received 188 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Gene Regulatory Network Analysis (1 paper) and stochastic dynamics and bifurcation (1 paper). The work is most often cited by research in Cognitive Neuroscience (133 citations), Cellular and Molecular Neuroscience (79 citations) and Statistical and Nonlinear Physics (36 citations). Leenoy Meshulam has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include William Bialek, Carlos D. Brody, Jeffrey L. Gauthier, David W. Tank, Tomoyuki Mano, Sam Reiter, Teresa L. Iglesias, Makoto Hiroi, Kazumichi Shimizu and Dan Frenkel. Their work appears in journals such as Nature, Physical Review Letters and Neuron.
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.