Milán Mosonyi

53 total papers · 1.0k total citations
23 papers, 561 citations indexed

About

Milán Mosonyi is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Milán Mosonyi has authored 23 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Atomic and Molecular Physics, and Optics and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Milán Mosonyi's work include Quantum Information and Cryptography (14 papers), Quantum Mechanics and Applications (10 papers) and Statistical Mechanics and Entropy (8 papers). Milán Mosonyi is often cited by papers focused on Quantum Information and Cryptography (14 papers), Quantum Mechanics and Applications (10 papers) and Statistical Mechanics and Entropy (8 papers). Milán Mosonyi collaborates with scholars based in Hungary, Japan and Singapore. Milán Mosonyi's co-authors include Tomohiro Ogawa, Fumio Hiai, Mark M. Wilde, Dėnes Petz, Cédric Bény, Koenraad M. R. Audenaert, Fernando G. S. L. Brandão, Min-Hsiu Hsieh, Nilanjana Datta and Masahito Hayashi and has published in prestigious journals such as IEEE Transactions on Information Theory, Communications in Mathematical Physics and Journal of Mathematical Physics.

In The Last Decade

Milán Mosonyi

22 papers receiving 555 citations

Author Peers

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

Author						Papers	Cites
Milán Mosonyi	431	326	165	85	82	23	561
Tomohiro Ogawa	384 0.9×	246 0.8×	72 0.4×	36 0.4×	135 1.6×	16	549
Maurizio Verri	310 0.7×	414 1.3×	233 1.4×	20 0.2×	57 0.7×	26	659
D. M. Appleby	389 0.9×	401 1.2×	100 0.6×	98 1.2×	39 0.5×	27	580
Alessandro Toigo	414 1.0×	356 1.1×	112 0.7×	42 0.5×	17 0.2×	29	603
Zbigniew Puchała	482 1.1×	458 1.4×	152 0.9×	28 0.3×	20 0.2×	49	610
Claudio Carmeli	368 0.9×	314 1.0×	129 0.8×	55 0.6×	18 0.2×	37	675
Yantao Wu	446 1.0×	344 1.1×	52 0.3×	46 0.5×	56 0.7×	16	667
A. O. Pittenger	314 0.7×	265 0.8×	36 0.2×	135 1.6×	31 0.4×	35	601
Alexey E. Rastegin	394 0.9×	433 1.3×	254 1.5×	51 0.6×	10 0.1×	56	578
A. P. Majtey	303 0.7×	345 1.1×	216 1.3×	21 0.2×	18 0.2×	39	606

Countries citing papers authored by Milán Mosonyi

Since Specialization

Citations

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

Fields of papers citing papers by Milán Mosonyi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milán Mosonyi

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