Sacha Kocsis

21 total papers · 1.2k total citations
14 papers, 658 citations indexed

About

Sacha Kocsis is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Sacha Kocsis has authored 14 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atomic and Molecular Physics, and Optics, 10 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Sacha Kocsis's work include Quantum Information and Cryptography (10 papers), Quantum Mechanics and Applications (6 papers) and Quantum Computing Algorithms and Architecture (5 papers). Sacha Kocsis is often cited by papers focused on Quantum Information and Cryptography (10 papers), Quantum Mechanics and Applications (6 papers) and Quantum Computing Algorithms and Architecture (5 papers). Sacha Kocsis collaborates with scholars based in Australia, United States and Canada. Sacha Kocsis's co-authors include Lynden K. Shalm, Martin J. Stevens, Boris Braverman, Richard P. Mirin, Aephraim M. Steinberg, Sylvain Ravets, Geoff J. Pryde, Timothy C. Ralph, Guo‐Yong Xiang and Michael J. W. Hall and has published in prestigious journals such as Science, Nature Communications and Nature Physics.

In The Last Decade

Sacha Kocsis

13 papers receiving 631 citations

Hit Papers

Observing the Average Tra... 2011 2026 2016 2021 2011 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Sacha Kocsis 602 442 85 69 37 14 658
Kai J. Drühl 575 1.0× 312 0.7× 108 1.3× 69 1.0× 19 0.5× 21 663
Nora Tischler 523 0.9× 347 0.8× 85 1.0× 90 1.3× 144 3.9× 30 684
Bradley Christensen 577 1.0× 541 1.2× 45 0.5× 132 1.9× 13 0.4× 23 710
Markus Rau 640 1.1× 612 1.4× 27 0.3× 128 1.9× 35 0.9× 13 740
T. Nonn 484 0.8× 335 0.8× 33 0.4× 52 0.8× 26 0.7× 11 571
Yu-Huai Li 595 1.0× 626 1.4× 35 0.4× 180 2.6× 36 1.0× 25 765
Emanuele Polino 434 0.7× 411 0.9× 52 0.6× 86 1.2× 83 2.2× 32 574
Jens Tüxen 441 0.7× 211 0.5× 72 0.8× 29 0.4× 40 1.1× 10 581
Sören Wengerowsky 515 0.9× 524 1.2× 14 0.2× 154 2.2× 27 0.7× 23 661
Marian O. Scully 668 1.1× 498 1.1× 99 1.2× 23 0.3× 11 0.3× 11 704

Countries citing papers authored by Sacha Kocsis

Since Specialization
Citations

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

Fields of papers citing papers by Sacha Kocsis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sacha Kocsis

This figure shows the co-authorship network connecting the top 25 collaborators of Sacha Kocsis. A scholar is included among the top collaborators of Sacha Kocsis 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 Sacha Kocsis. Sacha Kocsis 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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