Marek Kuś

5.7k citations
118 papers · 3.9k · h-index 33

Impact in

Papers in

Marek Kuś

113 papers receiving 3.7k citations

Peers

Marek Kuś
Comparison fields: 5 of 88
  • Statistical and Nonlinear Physics 1.6k
  • Atomic and Molecular Physics, and Optics 3.0k
  • Artificial Intelligence 2.0k
  • Acoustics and Ultrasonics 24
  • Mathematical Physics 157
Replace Andrzej Kossakowski with:
Andrzej Kossakowski Poland
Göran Lindblad Sweden
Berthold‐Georg Englert Singapore
Ingemar Bengtsson Sweden
Saverio Pascazio Italy
Arno Böhm United States
F. T. Hioe United States
Robert Alicki Poland
Andrew C. Doherty Australia
Paolo Facchi Italy
Marek Kuś relative to Andrzej Kossakowski Poland Andrzej Kossakowski's profile →
Citations per field
00.5×1.5×
Andrzej Kossakowski · 1×
Citations per year

Countries citing papers authored by Marek Kuś

Since Specialization
Citations

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

Fields of papers citing papers by Marek Kuś

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marek Kuś, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marek Kuś Line = papers co-authored together Marek Kuś links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005306
2 1987277
3 2001275
4 2004195
5 1994185
6 2005171
7 2018120
8 2001110
9 1993103
10 199892
11 199592
12 201772
13 198571
14 198867
15 201264
16 198656
17 198355
18 199653
19 198853
20 198750

About Marek Kuś

Marek Kuś is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications and Mathematical Physics, having authored 118 papers that have together received 3.9k indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (43 papers), Quantum Information and Cryptography (36 papers), Quantum Mechanics and Applications (35 papers), Quantum Computing Algorithms and Architecture (19 papers), Cold Atom Physics and Bose-Einstein Condensates (16 papers), Quantum optics and atomic interactions (15 papers), Nonlinear Dynamics and Pattern Formation (12 papers) and Nonlinear Photonic Systems (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.6k citations), Atomic and Molecular Physics, and Optics (3.0k citations), Artificial Intelligence (2.0k citations), Acoustics and Ultrasonics (24 citations) and Mathematical Physics (157 citations). Marek Kuś has collaborated with scholars based in Poland, Germany and United States. Frequent co-authors include Fritz Haake, Karol Życzkowski, Florian Mintert, Andreas Buchleitner, Maciej Lewenstein, Rainer Scharf, A. R. R. Carvalho, Sven Gnutzmann∥, J. I. Cirac and John Schliemann. Their work appears in journals such as Physical Review A, Physical Review Letters, Journal of Physics A Mathematical and Theoretical, Physica D Nonlinear Phenomena and Physical review. B, Condensed matter.

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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