Éva Czabarka

757 total citations
28 papers, 424 citations indexed

About

Éva Czabarka is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Geometry and Topology. According to data from OpenAlex, Éva Czabarka has authored 28 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 11 papers in Discrete Mathematics and Combinatorics and 9 papers in Geometry and Topology. Recurrent topics in Éva Czabarka's work include Advanced Graph Theory Research (10 papers), Graph theory and applications (9 papers) and Limits and Structures in Graph Theory (8 papers). Éva Czabarka is often cited by papers focused on Advanced Graph Theory Research (10 papers), Graph theory and applications (9 papers) and Limits and Structures in Graph Theory (8 papers). Éva Czabarka collaborates with scholars based in United States, South Africa and Hungary. Éva Czabarka's co-authors include Gábor Marth, János Murvai, Stephen T. Sherry, Łászló A. Székely, Szabolcs Horvát, Zoltán Toroczkai, Peter Dankelmann, Stephan Wagner, Péter L. Erdős and Imrich Vrt’o and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Genetics.

In The Last Decade

Éva Czabarka

25 papers receiving 418 citations

Peers

Éva Czabarka
Comparison fields: 5 of 82
  • Genetics 248
  • Molecular Biology 116
  • Computational Theory and Mathematics 55
  • Geometry and Topology 42
  • Discrete Mathematics and Combinatorics 39
Replace Radu Mihaescu with:
Radu Mihaescu United States
Marc Hellmuth Germany
Jesús Fernández-Sánchez Spain
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Joshua A. Grochow United States
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Magnus Bordewich United Kingdom
H.-J. Bandelt Germany
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Radu Mihaescu United States View profile →
Citations per field, relative to Éva Czabarka
Éva Czabarka · 1×
Citations per year, relative to Éva Czabarka
Éva Czabarka · 1×

Countries citing papers authored by Éva Czabarka

Since Specialization
Citations

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

Fields of papers citing papers by Éva Czabarka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éva Czabarka

This figure shows the co-authorship network connecting the top 25 collaborators of Éva Czabarka. A scholar is included among the top collaborators of Éva Czabarka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Éva Czabarka. Éva Czabarka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 3
4 1
5 1
6 3
7 7
8 7
9
A Discrete Convolution on the Generalized Hosoya Triangle
3
10 1
11 19
12 13
13 3
14
A note on full transversals and mixed orthogonal arrays
1
15 2
16 3
17 12
18 7
19
Algorithms for Optimizing Production DNA Sequencing
2
20 0

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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