Ivan Korec

409 citations
25 papers · 205 · h-index 7

Impact in

Papers in

Ivan Korec

23 papers receiving 173 citations

Peers

Ivan Korec
Comparison fields: 5 of 19
  • Computational Theory and Mathematics 106
  • Discrete Mathematics and Combinatorics 21
  • Algebra and Number Theory 18
  • Geometry and Topology 18
  • Theoretical Computer Science 2
Replace Clelia De Felice with:
Clelia De Felice Italy
Juha Honkala Finland
Jean-Michel Autebert France
David Auckly United States
Nicolas Lichiardopol France
Gil Kaplan Israel
Carl Droms United States
Torsten Mütze Germany
Luis Cereceda United Kingdom
Seungsang Oh South Korea
Ivan Korec relative to Clelia De Felice Italy Clelia De Felice's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ivan Korec

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Korec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Ivan Korec, 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 Ivan Korec Line = papers co-authored together Ivan Korec links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996113
2 200111
3
A density estimate for the $3x+1$ problem
19949
4 19749
5 19847
6 19977
7
Palindromic squares for various number system bases
19916
8
Pascal triangles modulo n and modular trellises
19905
9 19745
10 19934
11 19874
12 19754
13
On disjoint covering of groups by their cosets
19773
14
The $3x+1$ problem, generalized Pascal triangles and cellular automata
19923
15 19973
16
Concrete representation of some equivalence lattices
19812
17 19982
18 19782
19 19731
20 19811

About Ivan Korec

Ivan Korec is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Mathematical Physics, Geometry and Topology and Molecular Biology, having authored 25 papers that have together received 205 indexed citations. Recurring topics across this work include semigroups and automata theory (8 papers), Computability, Logic, AI Algorithms (7 papers), Cellular Automata and Applications (4 papers), Advanced Algebra and Logic (4 papers), DNA and Biological Computing (4 papers), Benford’s Law and Fraud Detection (3 papers), Mathematical Dynamics and Fractals (3 papers) and Coding theory and cryptography (3 papers). The work is most often cited by research in Computational Theory and Mathematics (106 citations), Discrete Mathematics and Combinatorics (21 citations), Algebra and Number Theory (18 citations), Geometry and Topology (18 citations) and Theoretical Computer Science (2 citations). Ivan Korec has collaborated with scholars based in Slovakia, Austria and France. Frequent co-authors include Štefan Znám and Wolfgang Rautenberg. Their work appears in journals such as Theoretical Computer Science, Proceedings of the American Mathematical Society, Archive for Mathematical Logic, Discrete Mathematics and Acta Arithmetica.

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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