Michael J. Kastoryano

61 total papers · 2.7k total citations
24 papers, 1.1k citations indexed

About

Michael J. Kastoryano is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Michael J. Kastoryano has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atomic and Molecular Physics, and Optics, 17 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Michael J. Kastoryano's work include Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (13 papers) and Quantum many-body systems (12 papers). Michael J. Kastoryano is often cited by papers focused on Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (13 papers) and Quantum many-body systems (12 papers). Michael J. Kastoryano collaborates with scholars based in Germany, Denmark and United States. Michael J. Kastoryano's co-authors include Anders S. Sørensen, Florentin Reiter, Jens Eisert, Kristan Temme, Martin Kliesch, Christian Gogolin, Michael M. Wolf, Arnau Riera, Thomas Barthel and Earl T. Campbell and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Michael J. Kastoryano

22 papers receiving 1.0k citations

Hit Papers

Evaluating the evidence f... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Michael J. Kastoryano 808 756 211 70 48 24 1.1k
Jordan Cotler 519 0.6× 529 0.7× 346 1.6× 72 1.0× 33 0.7× 35 1.1k
Alain Joye 657 0.8× 356 0.5× 427 2.0× 101 1.4× 248 5.2× 63 916
Zhengfeng Ji 747 0.9× 919 1.2× 70 0.3× 137 2.0× 22 0.5× 57 1.1k
Michael Walter 399 0.5× 273 0.4× 177 0.8× 47 0.7× 20 0.4× 40 805
Chang-Pu Sun 624 0.8× 391 0.5× 386 1.8× 18 0.3× 44 0.9× 58 956
Sonja Barkhofen 663 0.8× 633 0.8× 220 1.0× 33 0.5× 36 0.8× 38 1.1k
Paweł Wocjan 550 0.7× 820 1.1× 75 0.4× 220 3.1× 13 0.3× 67 1.0k
Sven Gnutzmann∥ 529 0.7× 182 0.2× 575 2.7× 69 1.0× 220 4.6× 39 921
Koenraad M. R. Audenaert 736 0.9× 803 1.1× 194 0.9× 176 2.5× 63 1.3× 38 1.1k
Dario Rosa 519 0.6× 395 0.5× 457 2.2× 19 0.3× 25 0.5× 30 862

Countries citing papers authored by Michael J. Kastoryano

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Kastoryano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Kastoryano. 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 Michael J. Kastoryano. The network helps show where Michael J. Kastoryano may publish in the future.

Co-authorship network of co-authors of Michael J. Kastoryano

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026