Daniel Štefankovič

2.1k citations
92 papers · 1.2k · h-index 20

Impact in

Papers in

Daniel Štefankovič

83 papers receiving 1.1k citations

Peers

Daniel Štefankovič
Comparison fields: 5 of 62
  • Computer Graphics and Computer-Aided Design 336
  • Statistics and Probability 398
  • Computational Theory and Mathematics 506
  • Computational Mathematics 17
  • Mathematical Physics 210
Replace Gilles Schaeffer with:
Gilles Schaeffer France
James R. Lee United States
Ehud Friedgut Israel
Catherine Greenhill Australia
W. Fernandez de la Véga France
Van H. Vu United States
Roman Smolensky United States
K. Vesztergombi Hungary
Hsien‐Kuei Hwang Taiwan
Dana Randall 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 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200284
2 201658
3 200955
4 200355
5 201555
6 200845
7 200141
8 201228
9 200327
10 200626
11 201525
12 201625
13 199724
14 200524
15 200723
16 201222
17 200721
18 201221
19 201620
20 200719

About Daniel Štefankovič

Daniel Štefankovič is a scholar working on Computational Theory and Mathematics, Statistics and Probability, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Mathematical Physics, having authored 92 papers that have together received 1.2k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (39 papers), Computational Geometry and Mesh Generation (24 papers), Stochastic processes and statistical mechanics (23 papers), Advanced Graph Theory Research (19 papers), Topological and Geometric Data Analysis (15 papers), Data Management and Algorithms (14 papers), Bayesian Modeling and Causal Inference (13 papers) and Complexity and Algorithms in Graphs (12 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (336 citations), Statistics and Probability (398 citations), Computational Theory and Mathematics (506 citations), Computational Mathematics (17 citations) and Mathematical Physics (210 citations). Daniel Štefankovič has collaborated with scholars based in United States, Slovakia and United Kingdom. Frequent co-authors include Marcus Schaefer, Eric Vigoda, Eric Sedgwick, Andreas Galanis, Michael J. Pelsmajer, Santosh Vempala, Ivona Bezáková, Vijay V. Vazirani, Qi Ge and Linji Yang. Their work appears in journals such as Algorithmica, SIAM Journal on Discrete Mathematics, SIAM Journal on Computing, Theory of Computing Systems 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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