Simon Milz

612 citations
15 papers · 362 · h-index 9

Impact in

Papers in

Simon Milz

15 papers receiving 361 citations

Peers

Simon Milz
Comparison fields: 5 of 27
  • Artificial Intelligence 321
  • Atomic and Molecular Physics, and Optics 302
  • Statistical and Nonlinear Physics 107
  • Computational Mathematics 4
  • Cognitive Neuroscience 17
Replace Bogna Bylicka with:
Bogna Bylicka Poland
Elisa Bäumer Switzerland
Yelena Guryanova United Kingdom
O. J. E. Maroney United Kingdom
Dario Egloff Germany
Christopher Hadley United Kingdom
Paulo E. M. F. Mendonça Brazil
Filip Wudarski United States
Adam Bennet Australia
Areeya Chantasri Australia
Simon Milz relative to Bogna Bylicka Poland Bogna Bylicka's profile →
Citations per field
00.5×1.5×2.4×
Bogna Bylicka · 1×
Citations per year

Countries citing papers authored by Simon Milz

Since Specialization
Citations

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

Fields of papers citing papers by Simon Milz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Simon Milz, 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 Simon Milz Line = papers co-authored together Simon Milz links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202195
2 201971
3 201942
4 201939
5 202125
6 201824
7 201822
8 201410
9 202310
10 20247
11 20226
12 20234
13 20214
14 20242
15 20241

About Simon Milz

Simon Milz is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 15 papers that have together received 362 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (15 papers), Quantum Mechanics and Applications (13 papers), Quantum Computing Algorithms and Architecture (11 papers), Neural dynamics and brain function (1 paper), Computability, Logic, AI Algorithms (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper), Neural Networks and Reservoir Computing (1 paper) and Random Matrices and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (321 citations), Atomic and Molecular Physics, and Optics (302 citations), Statistical and Nonlinear Physics (107 citations), Computational Mathematics (4 citations) and Cognitive Neuroscience (17 citations). Simon Milz has collaborated with scholars based in Australia, Austria and Ireland. Frequent co-authors include Kavan Modi, Felix A. Pollock, Marco Tomamichel, Giulio Chiribella, Walter T. Strunz, Thao P. Le, Otfried Gühne, Cornelia Spee, Zhen‐Peng Xu and Mio Murao. Their work appears in journals such as Quantum, Physical review. A, Physical Review Letters, Journal of Physics A Mathematical and Theoretical and PRX Quantum.

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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