Eli Chertkov

658 total citations
11 papers, 207 citations indexed

About

Eli Chertkov is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Eli Chertkov has authored 11 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atomic and Molecular Physics, and Optics, 5 papers in Artificial Intelligence and 3 papers in Condensed Matter Physics. Recurrent topics in Eli Chertkov's work include Quantum many-body systems (6 papers), Quantum Computing Algorithms and Architecture (4 papers) and Quantum Information and Cryptography (4 papers). Eli Chertkov is often cited by papers focused on Quantum many-body systems (6 papers), Quantum Computing Algorithms and Architecture (4 papers) and Quantum Information and Cryptography (4 papers). Eli Chertkov collaborates with scholars based in United States, Canada and Netherlands. Eli Chertkov's co-authors include Bryan K. Clark, Michael Foss‐Feig, Matthew DeCross, Benjamin Villalonga, Jessica E. Coughlin, Simon J. Teat, Thomas S. van der Poll, Sergei Tretiak, Guillermo C. Bazan and Ronald C. Bakus and has published in prestigious journals such as Physical Review Letters, Nature Physics and The Journal of Physical Chemistry Letters.

In The Last Decade

Eli Chertkov

10 papers receiving 198 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 Chertkov United States 7 140 83 36 32 28 11 207
Adele Naddeo Italy 8 114 0.8× 25 0.3× 58 1.6× 13 0.4× 34 1.2× 57 199
Yi Qiao China 12 228 1.6× 75 0.9× 32 0.9× 113 3.5× 42 1.5× 41 305
Z. Gedik Türkiye 10 227 1.6× 164 2.0× 43 1.2× 16 0.5× 24 0.9× 29 298
Konstantin Tiurev Finland 8 314 2.2× 82 1.0× 112 3.1× 35 1.1× 25 0.9× 12 381
LeeAnn M. Sager-Smith United States 9 237 1.7× 173 2.1× 20 0.6× 24 0.8× 26 0.9× 24 290
Sarah Al-Assam United Kingdom 7 312 2.2× 49 0.6× 81 2.3× 26 0.8× 50 1.8× 9 326
Dong Lan China 11 318 2.3× 244 2.9× 28 0.8× 27 0.8× 36 1.3× 38 370
Giulia Gualdi Italy 12 270 1.9× 247 3.0× 31 0.9× 18 0.6× 27 1.0× 13 315
Haohua Wang China 6 250 1.8× 200 2.4× 16 0.4× 72 2.3× 13 0.5× 18 310
Yuanzhen Chen China 11 279 2.0× 177 2.1× 55 1.5× 65 2.0× 17 0.6× 18 379

Countries citing papers authored by Eli Chertkov

Since Specialization
Citations

This map shows the geographic impact of Eli Chertkov'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 Chertkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Chertkov more than expected).

Fields of papers citing papers by Eli Chertkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eli Chertkov. 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 Chertkov. The network helps show where Eli Chertkov may publish in the future.

Co-authorship network of co-authors of Eli Chertkov

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

All Works

11 of 11 papers shown
1.
Alexandradinata, A., N. P. Armitage, Andrey Baydin, et al.. (2025). The future of the correlated electron problem. arXiv (Cornell University).
2.
Haghshenas, Reza, Eli Chertkov, Matthew DeCross, et al.. (2024). Probing Critical States of Matter on a Digital Quantum Computer. Physical Review Letters. 133(26). 266502–266502. 4 indexed citations
3.
DeCross, Matthew, et al.. (2023). Qubit-Reuse Compilation with Mid-Circuit Measurement and Reset. Physical Review X. 13(4). 32 indexed citations
4.
Chertkov, Eli, Andrew C. Potter, Sarang Gopalakrishnan, et al.. (2023). Characterizing a non-equilibrium phase transition on a quantum computer. Nature Physics. 19(12). 1799–1804. 27 indexed citations
5.
Chertkov, Eli, Benjamin Villalonga, & Bryan K. Clark. (2021). Numerical Evidence for Many-Body Localization in Two and Three Dimensions. Physical Review Letters. 126(18). 180602–180602. 18 indexed citations
6.
Chertkov, Eli & Bryan K. Clark. (2021). Motif magnetism and quantum many-body scars. Physical review. B.. 104(10). 16 indexed citations
7.
Chertkov, Eli, Justin Bohnet, David Francois, et al.. (2021). Holographic dynamics simulations with a trapped ion quantum computer. W3A.3–W3A.3. 3 indexed citations
8.
Chertkov, Eli & Bryan K. Clark. (2018). Computational Inverse Method for Constructing Spaces of Quantum Models from Wave Functions. Physical Review X. 8(3). 65 indexed citations
9.
Chertkov, Eli, Robert A. DiStasio, Ge Zhang, Roberto Car, & Salvatore Torquato. (2016). Inverse design of disordered stealthy hyperuniform spin chains. Physical review. B.. 93(6). 11 indexed citations
10.
Poll, Thomas S. van der, Andriy Zhugayevych, Eli Chertkov, et al.. (2014). Polymorphism of Crystalline Molecular Donors for Solution-Processed Organic Photovoltaics. The Journal of Physical Chemistry Letters. 5(15). 2700–2704. 29 indexed citations
11.
Khabibullaev, P. K., et al.. (1997). Acoustic relaxation in micelle-forming systems. Doklady Physics. 42(9). 471–473. 2 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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