Markus P. Müller

1.9k citations
55 papers · 970 · h-index 18

Impact in

Papers in

Markus P. Müller

54 papers receiving 935 citations

Peers

Markus P. Müller
Comparison fields: 5 of 76
  • Statistical and Nonlinear Physics 410
  • Atomic and Molecular Physics, and Optics 726
  • Artificial Intelligence 487
  • Computational Mathematics 8
  • History and Philosophy of Science 56
Replace Karl Svozil with:
Karl Svozil Austria
Thomas Filk Germany
Thomas Vidick United States
M. Courbage France
Toby S. Cubitt United Kingdom
Marek Czachor Poland
Matthias Kleinmann Germany
Yeong-Cherng Liang Switzerland
Andrzej Jamiołkowski Poland
Salman Beigi Iran
Markus P. Müller relative to Karl Svozil Austria Karl Svozil's profile →
Citations per field
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Citations per year

Countries citing papers authored by Markus P. Müller

Since Specialization
Citations

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

Fields of papers citing papers by Markus P. Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus P. Müller. 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 Markus P. Müller. The network helps show where Markus P. Müller may publish in the future.

Co-authors

The 25 scholars most cited alongside Markus P. Müller, 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 Markus P. Müller Line = papers co-authored together Markus P. Müller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011161
2 200153
3 201551
4 201348
5 201748
6 201947
7 201246
8 201045
9 201943
10 201132
11 201228
12 201928
13 202127
14 201227
15 202024
16 201624
17 201722
18 200819
19 201017
20 202215

About Markus P. Müller

Markus P. Müller is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Computational Theory and Mathematics and History and Philosophy of Science, having authored 55 papers that have together received 970 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (26 papers), Quantum Information and Cryptography (21 papers), Quantum Computing Algorithms and Architecture (15 papers), Advanced Thermodynamics and Statistical Mechanics (11 papers), Computability, Logic, AI Algorithms (11 papers), Quantum many-body systems (5 papers), Philosophy and History of Science (4 papers) and Advanced Mathematical Identities (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (410 citations), Atomic and Molecular Physics, and Optics (726 citations), Artificial Intelligence (487 citations), Computational Mathematics (8 citations) and History and Philosophy of Science (56 citations). Markus P. Müller has collaborated with scholars based in Germany, Canada and United Kingdom. Frequent co-authors include Jens Eisert, Christian Gogolin, Matteo Lostaglio, Lluís Masanes, David J. Gross, Oscar Dahlsten, Dorje C. Brody, Carl M. Bender, Remigiusz Augusiak and David Pérez-Garcı́a. Their work appears in journals such as Physical Review Letters, Quantum, IEEE Transactions on Information Theory, Physical Review Research and Journal of High Energy Physics.

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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