Daniel Štefankovič

2.1k citations
72 papers · 727 · h-index 17

Impact in

Papers in

Daniel Štefankovič

64 papers receiving 677 citations

Peers

Daniel Štefankovič
Comparison fields: 5 of 58
  • Computer Graphics and Computer-Aided Design 136
  • Statistics and Probability 297
  • Computational Mathematics 12
  • Mathematical Physics 157
  • Computational Theory and Mathematics 271
Replace Gilles Schaeffer with:
Gilles Schaeffer France
Catherine Greenhill Australia
James R. Lee United States
Dana Randall United States
Ehud Friedgut Israel
Roman Smolensky United States
Günter Last Germany
Krzysztof Oleszkiewicz Poland
Alex Samorodnitsky Israel
Igor Pak United States
Daniel Štefankovič relative to Gilles Schaeffer France Gilles Schaeffer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Štefankovič

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Štefankovič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201649
2 200947
3 200246
4 200843
5 201535
6 200329
7 201523
8 200123
9 201622
10 200721
11 200720
12 200319
13 201618
14 200718
15 201218
16 201218
17 200518
18 200613
19 201513
20 200612

About Daniel Štefankovič

Daniel Štefankovič is a scholar working on Statistics and Probability, Computational Theory and Mathematics, Artificial Intelligence, Mathematical Physics and Computer Graphics and Computer-Aided Design, having authored 72 papers that have together received 727 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (31 papers), Stochastic processes and statistical mechanics (18 papers), Computational Geometry and Mesh Generation (15 papers), Topological and Geometric Data Analysis (12 papers), Advanced Graph Theory Research (12 papers), Data Management and Algorithms (11 papers), Bayesian Modeling and Causal Inference (11 papers) and Complexity and Algorithms in Graphs (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (136 citations), Statistics and Probability (297 citations), Computational Mathematics (12 citations), Mathematical Physics (157 citations) and Computational Theory and Mathematics (271 citations). Daniel Štefankovič has collaborated with scholars based in United States, Slovakia and United Kingdom. Frequent co-authors include Eric Vigoda, Marcus Schaefer, Andreas Galanis, Eric Sedgwick, Santosh Vempala, Michael J. Pelsmajer, Ivona Bezáková, Vijay V. Vazirani, László Babai and Linji Yang. Their work appears in journals such as Algorithmica, SIAM Journal on Discrete Mathematics, SIAM Journal on Computing, Theoretical Computer Science and Theory of Computing Systems.

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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