Péter Csíkvári

485 citations
32 papers · 209 · h-index 9

Impact in

Papers in

Péter Csíkvári

25 papers receiving 195 citations

Peers

Péter Csíkvári
Comparison fields: 5 of 23
  • Discrete Mathematics and Combinatorics 121
  • Geometry and Topology 164
  • Computational Theory and Mathematics 127
  • Statistics and Probability 26
  • Mathematical Physics 28
Replace Agelos Georgakopoulos with:
Agelos Georgakopoulos United Kingdom
Cheng Yeaw Ku Singapore
Sung‐Yell Song United States
E. Garriga Spain
Carlos Hoppen Brazil
Juanjo Rué Spain
Ana Portilla Spain
Choongbum Lee United States
Bao-Xuan Zhu China
Domingo Pestana Spain
Péter Csíkvári relative to Agelos Georgakopoulos United Kingdom Agelos Georgakopoulos's profile →
Citations per field
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Agelos Georgakopoulos · 1×
Citations per year

Countries citing papers authored by Péter Csíkvári

Since Specialization
Citations

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

Fields of papers citing papers by Péter Csíkvári

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Péter Csíkvári, 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 Péter Csíkvári Line = papers co-authored together Péter Csíkvári links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200940
2 201023
3 201019
4 201216
5 201115
6 201514
7 20129
8 20148
9 20128
10 20157
11 20117
12 20176
13 20124
14 20084
15 20154
16 20224
17 20174
18 20163
19 20223
20 20223

About Péter Csíkvári

Péter Csíkvári is a scholar working on Geometry and Topology, Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Statistics and Probability and Mathematical Physics, having authored 32 papers that have together received 209 indexed citations. Recurring topics across this work include Graph theory and applications (25 papers), Advanced Graph Theory Research (14 papers), Limits and Structures in Graph Theory (12 papers), Advanced Combinatorial Mathematics (8 papers), Markov Chains and Monte Carlo Methods (7 papers), Graph Labeling and Dimension Problems (5 papers), Stochastic processes and statistical mechanics (3 papers) and Mathematical Dynamics and Fractals (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (121 citations), Geometry and Topology (164 citations), Computational Theory and Mathematics (127 citations), Statistics and Probability (26 citations) and Mathematical Physics (28 citations). Péter Csíkvári has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Mohammad Reza Oboudi, Andràs Sárközy, Zhicong Lin, Katalin Gyarmati, Miklós Abért, Gábor Kun, Jan Hladký, Balázs Szegedy, Saieed Akbari and Dragan Stevanović. Their work appears in journals such as European Journal of Combinatorics, The Electronic Journal of Combinatorics, Combinatorics Probability Computing, Discrete Applied Mathematics and Discrete Mathematics.

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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