Chene Tradonsky

51 total papers · 662 total citations
22 papers, 426 citations indexed

About

Chene Tradonsky is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Chene Tradonsky has authored 22 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 9 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Chene Tradonsky's work include Orbital Angular Momentum in Optics (6 papers), Quantum Information and Cryptography (5 papers) and Advanced Fiber Laser Technologies (5 papers). Chene Tradonsky is often cited by papers focused on Orbital Angular Momentum in Optics (6 papers), Quantum Information and Cryptography (5 papers) and Advanced Fiber Laser Technologies (5 papers). Chene Tradonsky collaborates with scholars based in Israel, United States and India. Chene Tradonsky's co-authors include Nir Davidson, Asher A. Friesem, Ronen Chriki, Vishwa Pal, P. M. Petroff, D. Gershoni, Eilon Poem, Brian D. Gerardot, Y. Kodriano and Netanel H. Lindner and has published in prestigious journals such as Physical Review Letters, Physical Review B and Nature Physics.

In The Last Decade

Chene Tradonsky

18 papers receiving 385 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chene Tradonsky 290 181 97 80 64 22 426
Xinan Xu 302 1.0× 190 1.0× 117 1.2× 38 0.5× 88 1.4× 24 482
Timothy Grove 304 1.0× 81 0.4× 70 0.7× 37 0.5× 47 0.7× 24 441
Chenzhi Yuan 335 1.2× 122 0.7× 259 2.7× 20 0.3× 41 0.6× 42 460
Antonio Gianfrate 410 1.4× 113 0.6× 89 0.9× 42 0.5× 121 1.9× 14 486
Lucia Florescu 241 0.8× 152 0.8× 48 0.5× 24 0.3× 89 1.4× 20 375
Chih-Hao Cheng 138 0.5× 220 1.2× 66 0.7× 43 0.5× 64 1.0× 25 409
Ipshita Datta 252 0.9× 357 2.0× 30 0.3× 124 1.6× 39 0.6× 20 473
Michael E. Crenshaw 426 1.5× 124 0.7× 41 0.4× 42 0.5× 55 0.9× 35 468
Bismarck Costa Lima 207 0.7× 135 0.7× 69 0.7× 103 1.3× 56 0.9× 19 390
Georgi Gary Rozenman 290 1.0× 94 0.5× 122 1.3× 31 0.4× 84 1.3× 22 438

Countries citing papers authored by Chene Tradonsky

Since Specialization
Citations

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

Fields of papers citing papers by Chene Tradonsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chene Tradonsky

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

All Works

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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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