Gábor Ivanyos

1.2k total citations
50 papers, 435 citations indexed

About

Gábor Ivanyos is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Geometry and Topology. According to data from OpenAlex, Gábor Ivanyos has authored 50 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 26 papers in Computational Theory and Mathematics and 10 papers in Geometry and Topology. Recurrent topics in Gábor Ivanyos's work include Coding theory and cryptography (28 papers), Quantum Computing Algorithms and Architecture (16 papers) and Complexity and Algorithms in Graphs (14 papers). Gábor Ivanyos is often cited by papers focused on Coding theory and cryptography (28 papers), Quantum Computing Algorithms and Architecture (16 papers) and Complexity and Algorithms in Graphs (14 papers). Gábor Ivanyos collaborates with scholars based in Hungary, France and Singapore. Gábor Ivanyos's co-authors include Miklós Sántha, Frédéric Magniez, Youming Qiao, Arjeh M. Cohen, Marek Karpiński, K. V. Subrahmanyam, Katalin Friedl, Klaus Lux, Pranab Kumar Sen and Lajos Rónyai and has published in prestigious journals such as Physical Review A, Mathematics of Computation and SIAM Journal on Computing.

In The Last Decade

Gábor Ivanyos

46 papers receiving 397 citations

Peers

Gábor Ivanyos
Comparison fields: 5 of 32
  • Artificial Intelligence 266
  • Computational Theory and Mathematics 225
  • Geometry and Topology 111
  • Discrete Mathematics and Combinatorics 105
  • Algebra and Number Theory 80
Replace Gilles Lachaud with:
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Brigitte Vallée France
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Gilles Lachaud France View profile →
Citations per field, relative to Gábor Ivanyos
Gábor Ivanyos · 1×
Citations per year, relative to Gábor Ivanyos
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Countries citing papers authored by Gábor Ivanyos

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Ivanyos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Ivanyos

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Ivanyos. A scholar is included among the top collaborators of Gábor Ivanyos 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 Gábor Ivanyos. Gábor Ivanyos 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 2
2
Chevalley-Warning Theorem in Quantum Computing.
0
3 3
4 3
5 1
6 8
7 14
8
Improved algorithms for splitting full matrix algebras
1
9 2
10 2
11 11
12 11
13 0
14 35
15 4
16 4
17 19
18 22
19 27
20 10

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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