Eli Shlizerman
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Nonlinear Photonic Systems
Papers in
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- Nonlinear Photonic Systems 8
- stochastic dynamics and bifurcation 5
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- Neural dynamics and brain function 9
- Co-authors
- J. Nathan Kutz (16 shared papers)Kun Su (6 shared papers)Xiulong Liu (4 shared papers)Edwin Ding (5 shared papers)Jeffrey A. Riffell (3 shared papers)Vered Rom‐Kedar (4 shared papers)Leif Abrell (1 shared paper)Armin Hinterwirth (1 shared paper)
- Journals
- BMC Neuroscience (3 papers)Frontiers in Systems Neuroscience (2 papers)Physical Review Letters (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Eli Shlizerman
44 papers receiving 713 citations
Peers
Comparison fields: 5 of 99
- Aging 63
- Statistical and Nonlinear Physics 179
- Insect Science 92
- Computer Vision and Pattern Recognition 134
- Cellular and Molecular Neuroscience 111
Countries citing papers authored by Eli Shlizerman
This map shows the geographic impact of Eli Shlizerman'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 Eli Shlizerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Shlizerman more than expected).
Fields of papers citing papers by Eli Shlizerman
This network shows the impact of papers produced by Eli Shlizerman. 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 Eli Shlizerman. The network helps show where Eli Shlizerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Eli Shlizerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 158 | |
| 2 | 2020 | 128 | |
| 3 | 2008 | 54 | |
| 4 | 2011 | 38 | |
| 5 | 2014 | 34 | |
| 6 | 2006 | 26 | |
| 7 | 2011 | 25 | |
| 8 | 2012 | 20 | |
| 9 | 2010 | 16 | |
| 10 | 2018 | 16 | |
| 11 | 2017 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2016 | 14 | |
| 14 | 2017 | 14 | |
| 15 | 2005 | 14 | |
| 16 | 2014 | 13 | |
| 17 | 2010 | 13 | |
| 18 | 2012 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2009 | 10 |
About Eli Shlizerman
Eli Shlizerman is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 48 papers that have together received 740 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Nonlinear Photonic Systems (8 papers), Advanced Fiber Laser Technologies (8 papers), Laser-Matter Interactions and Applications (7 papers), Nonlinear Dynamics and Pattern Formation (6 papers), stochastic dynamics and bifurcation (5 papers), Neural Networks and Applications (4 papers) and Photonic Crystal and Fiber Optics (4 papers). The work is most often cited by research in Aging (63 citations), Statistical and Nonlinear Physics (179 citations), Insect Science (92 citations), Computer Vision and Pattern Recognition (134 citations) and Cellular and Molecular Neuroscience (111 citations). Eli Shlizerman has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include J. Nathan Kutz, Kun Su, Xiulong Liu, Edwin Ding, Jeffrey A. Riffell, Vered Rom‐Kedar, Leif Abrell, Armin Hinterwirth, Elischa Sanders and Matthew O. Williams. Their work appears in journals such as BMC Neuroscience, Frontiers in Systems Neuroscience, Physical Review Letters, Nature Communications and Cell Reports.
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.