Ilya Nemenman
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- stochastic dynamics and bifurcation 5
- Molecular Biology top 2%
- Gene Regulatory Network Analysis 31
- Bioinformatics and Genomic Networks 11
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques 7
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 16
- Developmental Biology top 5%
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- Evolution and Genetic Dynamics 9
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- Neural Networks and Applications 7
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- Genetics, Aging, and Longevity in Model Organisms 5
- Co-authors
- Andrea CalifanoAdam A. MargolinChris H. WigginsKatia BassoRiccardo Dalla FaveraGustavo StolovitzkyWilliam BialekAndre Levchenko
- Journals
- PLoS Computational Biology (9 papers)Proceedings of the National Academy of Sciences (7 papers)Physical review. E (7 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Ilya Nemenman
75 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Statistical and Nonlinear Physics 587
- Molecular Biology 2.9k
- Biophysics 211
- Cognitive Neuroscience 673
- Developmental Biology 56
Countries citing papers authored by Ilya Nemenman
This map shows the geographic impact of Ilya Nemenman'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 Ilya Nemenman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilya Nemenman more than expected).
Fields of papers citing papers by Ilya Nemenman
This network shows the impact of papers produced by Ilya Nemenman. 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 Ilya Nemenman. The network helps show where Ilya Nemenman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ilya Nemenman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 20 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 27 | |
| 7 | Progress in estimation of mutual information for real-valued data | 2018 | 1 |
| 8 | 2017 | 72 | |
| 9 | 2017 | 30 | |
| 10 | 2017 | 17 | |
| 11 | 2016 | 113 | |
| 12 | Millisecond-Scale Motor Encoding in a Cortical Vocal Area | 2015 | 10 |
| 13 | 2015 | 49 | |
| 14 | 2014 | 91 | |
| 15 | 2014 | 0 | |
| 16 | 2013 | 39 | |
| 17 | 2013 | 6 | |
| 18 | 2013 | 1 | |
| 19 | 2007 | 90 | |
| 20 | 2004 | 179 |
About Ilya Nemenman
Ilya Nemenman is a scholar working on Aging, Developmental Biology and Biophysics, having authored 81 papers that have together received 4.6k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (31 papers), Neural dynamics and brain function (16 papers), Bioinformatics and Genomic Networks (11 papers), Evolution and Genetic Dynamics (9 papers), Advanced Fluorescence Microscopy Techniques (7 papers), Neural Networks and Applications (7 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and stochastic dynamics and bifurcation (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (587 citations), Molecular Biology (2.9k citations) and Biophysics (211 citations). Ilya Nemenman has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Andrea Califano, Adam A. Margolin, Chris H. Wiggins, Katia Basso, Riccardo Dalla Favera, Gustavo Stolovitzky, William Bialek, Andre Levchenko, Naftali Tishby and Nikolai A. Sinitsyn. Their work appears in journals such as PLoS Computational Biology, Proceedings of the National Academy of Sciences, Physical review. E, Physical Biology and IET Systems Biology.
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.