Markus Schmitt

1.1k total citations
31 papers, 677 citations indexed

About

Markus Schmitt is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Markus Schmitt has authored 31 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atomic and Molecular Physics, and Optics, 13 papers in Artificial Intelligence and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Markus Schmitt's work include Quantum many-body systems (22 papers), Quantum Computing Algorithms and Architecture (8 papers) and Quantum and electron transport phenomena (5 papers). Markus Schmitt is often cited by papers focused on Quantum many-body systems (22 papers), Quantum Computing Algorithms and Architecture (8 papers) and Quantum and electron transport phenomena (5 papers). Markus Schmitt collaborates with scholars based in Germany, United States and Italy. Markus Schmitt's co-authors include Markus Heyl, Stefan Kehrein, Stephan Diehl, Yi-Ping Huang, Pei Wang, Jacek Dziarmaga, Marek M. Rams, Wojciech H. Zurek, Irmgard Förster and David M. Tarlinton and has published in prestigious journals such as Physical Review Letters, Physical Review B and Annals of the New York Academy of Sciences.

In The Last Decade

Markus Schmitt

29 papers receiving 651 citations

Peers

Markus Schmitt
Comparison fields: 5 of 71
  • Atomic and Molecular Physics, and Optics 481
  • Artificial Intelligence 211
  • Statistical and Nonlinear Physics 196
  • Condensed Matter Physics 138
  • Immunology 45
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Citations per field, relative to Markus Schmitt
Markus Schmitt · 1×
Citations per year, relative to Markus Schmitt
Markus Schmitt · 1×

Countries citing papers authored by Markus Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Markus Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Schmitt

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 5
4 4
5 5
6 5
7 9
8 31
9 3
10 11
11 10
12 51
13 119
14 20
15 30
16 29
17 103
18
CrossTalk: An Interactive Installation with Animated Presentation Agents
6
19 38
20 13

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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