Jan Janas

744 citations
47 papers · 419 · h-index 13

Impact in

    • Spectral Theory in Mathematical Physics
    • Numerical methods in inverse problems
    • Holomorphic and Operator Theory
    • Mathematical functions and polynomials
    • Algebraic and Geometric Analysis

Papers in

    • Spectral Theory in Mathematical Physics 30
    • Numerical methods in inverse problems 6
    • Holomorphic and Operator Theory 23
    • Algebraic and Geometric Analysis 8

Jan Janas

43 papers receiving 372 citations

Peers

Jan Janas
Comparison fields: 5 of 21
  • Mathematical Physics 353
  • Applied Mathematics 236
  • Computational Theory and Mathematics 197
  • Algebra and Number Theory 45
  • Statistical and Nonlinear Physics 67
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J. Dombrowski United States
Peter Yuditskii Austria
Sergey A. Denisov United States
Eduard Tsekanovskiı̆ United States
К. А. Мирзоев Russia
T. Ya. Azizov Russia
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Citations per field
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Citations per year

Countries citing papers authored by Jan Janas

Since Specialization
Citations

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

Fields of papers citing papers by Jan Janas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Jan Janas, 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 Jan Janas Line = papers co-authored together Jan Janas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200338
2 200234
3 199929
4 200422
5 198921
6 200419
7 200217
8 199417
9 199115
10 199414
11 200614
12 199912
13 200912
14 200812
15 200612
16 200611
17 200411
18 200811
19 201210
20 201110

About Jan Janas

Jan Janas is a scholar working on Mathematical Physics, Applied Mathematics, Computational Theory and Mathematics, Algebra and Number Theory and Geometry and Topology, having authored 47 papers that have together received 419 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (30 papers), Holomorphic and Operator Theory (23 papers), Matrix Theory and Algorithms (19 papers), Algebraic and Geometric Analysis (8 papers), Advanced Topics in Algebra (7 papers), Advanced Mathematical Modeling in Engineering (6 papers), Numerical methods in inverse problems (6 papers) and Quantum chaos and dynamical systems (4 papers). The work is most often cited by research in Mathematical Physics (353 citations), Applied Mathematics (236 citations), Computational Theory and Mathematics (197 citations), Algebra and Number Theory (45 citations) and Statistical and Nonlinear Physics (67 citations). Jan Janas has collaborated with scholars based in Poland, Russia and United States. Frequent co-authors include Serguei Naboko, Günter Stolz, Jan Stochel, Pavel Kurasov, Anne Boutet de Monvel, Ари Лаптев and Н. К. Никольский. Their work appears in journals such as Studia Mathematica, Integral Equations and Operator Theory, The Journal of Difference Equations and Applications, Proceedings of the American Mathematical Society and Journal of Functional Analysis.

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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