Martin Kummer

2.1k citations
82 papers · 1.3k · h-index 19

Impact in

Papers in

Martin Kummer

79 papers receiving 1.2k citations

Peers

Martin Kummer
Comparison fields: 5 of 76
  • Statistical and Nonlinear Physics 302
  • Computational Theory and Mathematics 291
  • Atomic and Molecular Physics, and Optics 403
  • Geometry and Topology 104
  • Numerical Analysis 41
Replace H. C. Rosu with:
H. C. Rosu Mexico
Per W. Karlsson Denmark
M. Fernández‐Guasti Mexico
Tetsuji Tokihiro Japan
Charles Radin United States
B. S. Pavlov Russia
Edwin Barnes United States
Rossen Dandoloff France
G. Nenciu Romania
Tsuyoshi Horiguchi Japan
Martin Kummer relative to H. C. Rosu Mexico H. C. Rosu's profile →
Citations per field
00.5×5.6×
H. C. Rosu · 1×
Citations per year

Countries citing papers authored by Martin Kummer

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kummer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001135
2 198373
3
198172
4 201370
5 200060
6 200249
7 197647
8 198244
9 200241
10 199232
11 198632
12 199532
13 199030
14 197130
15 200629
16 199426
17 199625
18 199324
19 199018
20 199217

About Martin Kummer

Martin Kummer is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 82 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (30 papers), semigroups and automata theory (15 papers), Machine Learning and Algorithms (15 papers), Quantum chaos and dynamical systems (14 papers), Semiconductor Quantum Structures and Devices (12 papers), Algorithms and Data Compression (9 papers), Semiconductor materials and interfaces (8 papers) and Silicon Nanostructures and Photoluminescence (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (302 citations), Computational Theory and Mathematics (291 citations), Atomic and Molecular Physics, and Optics (403 citations), Geometry and Topology (104 citations) and Numerical Analysis (41 citations). Martin Kummer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include H. von Känel, Frank Stephan, Armando Rastelli, Richard C. Churchill, David L. Rod, Alex Dommann, E. Müller, C. Rosenblad, Richard Beigel and Lance Fortnow. Their work appears in journals such as Journal of Symbolic Logic, Materials Science and Engineering B, Communications in Mathematical Physics, Theoretical Computer Science and Journal of Computer and System Sciences.

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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