V. Rödl

3.5k citations
88 papers · 1.9k · h-index 24

Impact in

Papers in

V. Rödl

82 papers receiving 1.6k citations

Peers

V. Rödl
Comparison fields: 5 of 47
  • Discrete Mathematics and Combinatorics 1.3k
  • Computational Theory and Mathematics 1.5k
  • Geometry and Topology 723
  • Computer Graphics and Computer-Aided Design 61
  • Computational Mathematics 7
Replace Yoshiharu Kohayakawa with:
Yoshiharu Kohayakawa Brazil
András Gyárfás Hungary
R. Rado United Kingdom
Robert E. Jamison United States
Maria Chudnovsky United States
James Oxley United States
Gyula O. H. Katona Hungary
G. A. Dirac Denmark
Richard J. Nowakowski Canada
Ron Aharoni Israel
V. Rödl relative to Yoshiharu Kohayakawa Brazil Yoshiharu Kohayakawa's profile →
Citations per field
00.5×3.5×
Yoshiharu Kohayakawa · 1×
Citations per year

Countries citing papers authored by V. Rödl

Since Specialization
Citations

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

Fields of papers citing papers by V. Rödl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994183
2 1986151
3 1985104
4 198387
5 199567
6 199761
7 198560
8 198547
9 199245
10 198144
11 198742
12 199042
13 200139
14 198637
15 200736
16 200330
17 200530
18 199530
19 198828
20
Graph complexity
198827

About V. Rödl

V. Rödl is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Geometry and Topology, Electrical and Electronic Engineering and Mathematical Physics, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Limits and Structures in Graph Theory (65 papers), Advanced Graph Theory Research (53 papers), Advanced Topology and Set Theory (27 papers), graph theory and CDMA systems (17 papers), Graph Labeling and Dimension Problems (16 papers), Graph theory and applications (14 papers), Complexity and Algorithms in Graphs (13 papers) and Mathematical Dynamics and Fractals (5 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (1.3k citations), Computational Theory and Mathematics (1.5k citations), Geometry and Topology (723 citations), Computer Graphics and Computer-Aided Design (61 citations) and Computational Mathematics (7 citations). V. Rödl has collaborated with scholars based in United States, Czechia and Brazil. Frequent co-authors include Péter Frankl, Richard A. Duke, Yoshiharu Kohayakawa, Hanno Lefmann, Noga Alon, Péter L. Erdős, Endre Szemerédi, Pavel Pudlák, Raphael Yuster and Penny Haxell. Their work appears in journals such as Journal of Combinatorial Theory Series B, Journal of Combinatorial Theory Series A, Combinatorics Probability Computing, Discrete Mathematics and COMBINATORICA.

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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