Eli Shlizerman

1.4k total citations
48 papers, 740 citations indexed

About

Eli Shlizerman is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Eli Shlizerman has authored 48 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistical and Nonlinear Physics, 10 papers in Cognitive Neuroscience and 10 papers in Artificial Intelligence. Recurrent topics in Eli Shlizerman's work include Neural dynamics and brain function (9 papers), Nonlinear Photonic Systems (8 papers) and Advanced Fiber Laser Technologies (8 papers). Eli Shlizerman is often cited by papers focused on Neural dynamics and brain function (9 papers), Nonlinear Photonic Systems (8 papers) and Advanced Fiber Laser Technologies (8 papers). Eli Shlizerman collaborates with scholars based in United States, Israel and India. Eli Shlizerman's co-authors include J. Nathan Kutz, Kun Su, Xiulong Liu, Edwin Ding, Vered Rom‐Kedar, Jeffrey A. Riffell, Armin Hinterwirth, Elischa Sanders, Leif Abrell and Matthew O. Williams and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

Eli Shlizerman

44 papers receiving 713 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eli Shlizerman United States 15 179 144 134 111 107 48 740
Tanmoy Banerjee India 22 999 5.6× 157 1.1× 56 0.4× 54 0.5× 100 0.9× 99 1.6k
Róbert Pintér United States 19 93 0.5× 19 0.1× 57 0.4× 212 1.9× 100 0.9× 69 983
Akira Sakurai Japan 23 106 0.6× 62 0.4× 16 0.1× 440 4.0× 49 0.5× 109 2.0k
Francisco B. Rodrı́guez Spain 17 124 0.7× 34 0.2× 194 1.4× 146 1.3× 245 2.3× 90 992
Alexander Volkovskii United States 17 773 4.3× 39 0.3× 226 1.7× 442 4.0× 223 2.1× 36 1.7k
Ikuko Nishikawa Japan 12 214 1.2× 53 0.4× 38 0.3× 36 0.3× 89 0.8× 51 779
G. Liñán Spain 16 60 0.3× 9 0.1× 118 0.9× 109 1.0× 174 1.6× 72 1.1k
Ben D. B. Willmore United Kingdom 21 50 0.3× 29 0.2× 104 0.8× 390 3.5× 126 1.2× 34 1.5k
Michał Januszewski United States 12 45 0.3× 44 0.3× 67 0.5× 80 0.7× 33 0.3× 23 678
Mina Teicher Israel 19 34 0.2× 22 0.2× 145 1.1× 96 0.9× 68 0.6× 97 1.2k

Countries citing papers authored by Eli Shlizerman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eli Shlizerman

This figure shows the co-authorship network connecting the top 25 collaborators of Eli Shlizerman. A scholar is included among the top collaborators of Eli Shlizerman 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 Eli Shlizerman. Eli Shlizerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Choi, Minho, et al.. (2025). Transferable polychromatic optical encoder for neural networks. Nature Communications. 16(1). 5623–5623. 2 indexed citations
2.
Fan, Chaofei, et al.. (2025). Brain-to-text decoding with context-aware neural representations and large language models. Journal of Neural Engineering. 22(5). 56026–56026.
3.
Li, Jing, et al.. (2025). OpenLabCluster: active learning based clustering and classification of animal behaviors based on kinematic body keypoints. Frontiers in Systems Neuroscience. 19. 1630654–1630654.
4.
Liu, Xiulong, Anurag Kumar, Paul Calamia, et al.. (2025). Hearing Anywhere in Any Environment. 5732–5741.
5.
Choi, Minho, Johannes E. Fröch, Luocheng Huang, et al.. (2025). Compressed meta-optical encoder for image classification. Advanced Photonics Nexus. 4(2). 3 indexed citations
6.
Choi, Minho, et al.. (2024). Compressed Meta-Optical Encoder for Image Classification. FF1J.1–FF1J.1. 5 indexed citations
7.
Shlizerman, Eli, et al.. (2022). Statistical Perspective on Functional and Causal Neural Connectomics: A Comparative Study. Frontiers in Systems Neuroscience. 16. 817962–817962. 7 indexed citations
8.
Shlizerman, Eli, et al.. (2022). Statistical perspective on functional and causal neural connectomics: The Time-Aware PC algorithm. PLoS Computational Biology. 18(11). e1010653–e1010653. 7 indexed citations
9.
Su, Kun, Xiulong Liu, & Eli Shlizerman. (2020). Audeo: Audio Generation for a Silent Performance Video. arXiv (Cornell University). 33. 3325–3337. 2 indexed citations
10.
Su, Kun, Xiulong Liu, & Eli Shlizerman. (2020). PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition. 9628–9637. 128 indexed citations
11.
Su, Kun & Eli Shlizerman. (2020). Clustering and Recognition of Spatiotemporal Features Through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks. Frontiers in Artificial Intelligence. 3. 70–70. 6 indexed citations
12.
Su, Kun & Eli Shlizerman. (2019). Dimension Reduction Approach for Interpretability of Sequence to Sequence Recurrent Neural Networks.. arXiv (Cornell University). 1 indexed citations
13.
Shlizerman, Eli, et al.. (2019). Neural Interactome: Interactive Simulation of a Neuronal System. Frontiers in Computational Neuroscience. 13. 8–8. 14 indexed citations
14.
Shlizerman, Eli, et al.. (2017). Multistability and Long-Timescale Transients Encoded by Network Structure in a Model of C. elegans Connectome Dynamics. Frontiers in Computational Neuroscience. 11. 53–53. 15 indexed citations
15.
Kutz, J. Nathan, et al.. (2017). Symmetries Constrain Dynamics in a Family of Balanced Neural Networks. PubMed. 7(1). 10–10. 1 indexed citations
16.
Shlizerman, Eli, et al.. (2016). Neural Integration Underlying a Time-Compensated Sun Compass in the Migratory Monarch Butterfly. Cell Reports. 15(4). 683–691. 14 indexed citations
17.
Shlizerman, Eli, et al.. (2014). Low-dimensional functionality of complex network dynamics: Neurosensory integration in theCaenorhabditiselegansconnectome. Physical Review E. 89(5). 52805–52805. 34 indexed citations
18.
Shlizerman, Eli, Jeffrey A. Riffell, & J. Nathan Kutz. (2014). Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe. Frontiers in Computational Neuroscience. 8. 70–70. 13 indexed citations
19.
Shlizerman, Eli & Vered Rom‐Kedar. (2009). Parabolic Resonance: A Route to Hamiltonian Spatiotemporal Chaos. Physical Review Letters. 102(3). 33901–33901. 10 indexed citations
20.
Shlizerman, Eli & Vered Rom‐Kedar. (2006). Three Types of Chaos in the Forced Nonlinear Schrödinger Equation. Physical Review Letters. 96(2). 24104–24104. 26 indexed citations

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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