Martin Kummer

2.1k citations
106 papers · 1.6k · h-index 22

Impact in

Papers in

Martin Kummer

100 papers receiving 1.5k citations

Peers

Martin Kummer
Comparison fields: 5 of 81
  • Computational Theory and Mathematics 529
  • Statistical and Nonlinear Physics 369
  • Atomic and Molecular Physics, and Optics 427
  • Geometry and Topology 120
  • Artificial Intelligence 426
Replace Lorenzo Sadun with:
Lorenzo Sadun United States
Robert Sims United States
Tomi Ohtsuki Japan
H. C. Rosu Mexico
Hidetosi Takahasi Japan
B. S. Pavlov Russia
Tetsuji Tokihiro Japan
C. A. A. de Carvalho Brazil
Charles Radin United States
Gero Friesecke Germany
Martin Kummer relative to Lorenzo Sadun United States Lorenzo Sadun's profile →
Citations per field
00.5×3.9×
Lorenzo Sadun · 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 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001150
2 198386
3
198183
4 201373
5 200062
6 197657
7 200251
8 199250
9 198247
10 199545
11 200243
12 199441
13 199638
14 199337
15 198637
16 199035
17 197135
18 199633
19 200630
20 199229

About Martin Kummer

Martin Kummer is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 106 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (43 papers), semigroups and automata theory (21 papers), Machine Learning and Algorithms (21 papers), Quantum chaos and dynamical systems (19 papers), Algorithms and Data Compression (15 papers), Semiconductor Quantum Structures and Devices (12 papers), Silicon Nanostructures and Photoluminescence (8 papers) and Semiconductor materials and interfaces (8 papers). The work is most often cited by research in Computational Theory and Mathematics (529 citations), Statistical and Nonlinear Physics (369 citations), Atomic and Molecular Physics, and Optics (427 citations), Geometry and Topology (120 citations) and Artificial Intelligence (426 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, Richard Beigel, C. Rosenblad, E. Müller and Lance Fortnow. Their work appears in journals such as Journal of Symbolic Logic, Materials Science and Engineering B, Communications in Mathematical Physics, Lecture notes in physics and Theoretical Computer Science.

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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