Markus Kuba

43 papers receiving 254 citations

Peers

Markus Kuba
Comparison fields: 5 of 48
  • Discrete Mathematics and Combinatorics 98
  • Algebra and Number Theory 64
  • Mathematical Physics 100
  • Statistics and Probability 44
  • Geometry and Topology 31
Replace Nicolas Bonichon with:
Nicolas Bonichon France
Yu. L. Pavlov Russia
Francesco Russo Italy
Frank R. Bernhart United States
William Chen United States
Lorenz Halbeısen Switzerland
Daniel A. Marcus United States
Yufei Zhao United States
Viresh Patel United Kingdom
Reinie Erné France
Markus Kuba relative to Nicolas Bonichon France Nicolas Bonichon's profile →
Citations per field
00.5×6.3×
Nicolas Bonichon · 1×
Citations per year

Countries citing papers authored by Markus Kuba

Since Specialization
Citations

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

Fields of papers citing papers by Markus Kuba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Markus Kuba, 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 Kuba Line = papers co-authored together Markus Kuba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201845
2 200940
3 201322
4 200618
5 201312
6 20108
7 20178
8 20107
9 20196
10 20106
11 20116
12 20066
13 20095
14
20155
15 20065
16 20124
17 20094
18 20084
19 20124
20 20084

About Markus Kuba

Markus Kuba is a scholar working on Mathematical Physics, Discrete Mathematics and Combinatorics, Artificial Intelligence, Computational Theory and Mathematics and Algebra and Number Theory, having authored 46 papers that have together received 270 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (22 papers), Advanced Combinatorial Mathematics (20 papers), Bayesian Methods and Mixture Models (15 papers), Advanced Mathematical Identities (8 papers), Algorithms and Data Compression (6 papers), Data Management and Algorithms (6 papers), Mathematical Dynamics and Fractals (6 papers) and Random Matrices and Applications (6 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (98 citations), Algebra and Number Theory (64 citations), Mathematical Physics (100 citations), Statistics and Probability (44 citations) and Geometry and Topology (31 citations). Markus Kuba has collaborated with scholars based in Austria, South Africa and United States. Frequent co-authors include Alois Panholzer, Svante Janson, Alberto Díaz-Álvarez, Hosam M. Mahmoud, Cristina Olaverri-Monreal, Luís Serrano, Helmut Prodinger, Carsten Schneider, Cyril Banderier and Stephan Wagner. Their work appears in journals such as The Electronic Journal of Combinatorics, Discrete Mathematics & Theoretical Computer Science, Discrete Mathematics, Advances in Applied Mathematics and European Journal of Combinatorics.

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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