Igor Klep

64 papers receiving 419 citations

Peers

Igor Klep
Comparison fields: 5 of 30
  • Algebra and Number Theory 181
  • Numerical Analysis 106
  • Mathematical Physics 136
  • Computational Theory and Mathematics 222
  • Geometry and Topology 114
Replace Natália Bebiano with:
Natália Bebiano Portugal
Alexander Guterman Russia
Chunyuan Deng China
Hiroshi Nakazato Japan
Sivaram K. Narayan United States
Huihui Zhu China
Martin E. Muldoon Canada
S. K. Jain United States
Genrich Belitskii Israel
Artūras Dubickas Lithuania
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Citations per field
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Citations per year

Countries citing papers authored by Igor Klep

Since Specialization
Citations

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

Fields of papers citing papers by Igor Klep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Igor Klep, 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 Igor Klep Line = papers co-authored together Igor Klep links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200749
2 201033
3 201224
4 200822
5 201021
6 200919
7 201117
8 201117
9 201017
10 201616
11
4 FREE FUNCTION THEORY THROUGH MATRIX INVARIANTS
201613
12 201513
13
An exact duality theory for semidefinite programming based on sums of squares
201612
14 200911
15 20229
16 20188
17 20107
18 20077
19 20137
20 20146

About Igor Klep

Igor Klep is a scholar working on Algebra and Number Theory, Computational Theory and Mathematics, Geometry and Topology, Mathematical Physics and Numerical Analysis, having authored 74 papers that have together received 436 indexed citations. Recurring topics across this work include Advanced Topics in Algebra (37 papers), Algebraic structures and combinatorial models (22 papers), Matrix Theory and Algorithms (22 papers), Rings, Modules, and Algebras (16 papers), Advanced Optimization Algorithms Research (15 papers), Polynomial and algebraic computation (15 papers), Advanced Operator Algebra Research (12 papers) and Holomorphic and Operator Theory (8 papers). The work is most often cited by research in Algebra and Number Theory (181 citations), Numerical Analysis (106 citations), Mathematical Physics (136 citations), Computational Theory and Mathematics (222 citations) and Geometry and Topology (114 citations). Igor Klep has collaborated with scholars based in Slovenia, United States and New Zealand. Frequent co-authors include Markus Schweighofer, J. William Helton, Scott McCullough, Janez Povh, Matej Brešar, Victor Magron, Primož Moravec, Victor Vinnikov, Felix Huber and Kenneth J. Dykema. Their work appears in journals such as Journal of Algebra, Journal of Functional Analysis, Advances in Mathematics, Journal of Mathematical Analysis and Applications and Journal of Pure and Applied Algebra.

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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