Tomasz Kaczyński

33 papers receiving 481 citations

Peers

Tomasz Kaczyński
Comparison fields: 5 of 77
  • Mathematical Physics 219
  • Computational Theory and Mathematics 357
  • Geometry and Topology 101
  • Computer Graphics and Computer-Aided Design 28
  • Biophysics 43
Replace Анатолий Тимофеевич Фоменко with:
Анатолий Тимофеевич Фоменко
Yong Lin China
Alicia Dickenstein Argentina
Évelyne Hubert France
Shmuel Weinberger United States
W. V. D. Hodge United States
Isaac Chavel United States
Randall Dougherty United States
Dierk Schleicher Germany
Catherine H. Yan United States
Tomasz Kaczyński relative to Анатолий Тимофеевич Фоменко Анатолий Тимофеевич Фоменко's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tomasz Kaczyński

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Kaczyński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Tomasz Kaczyński, 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 Tomasz Kaczyński Line = papers co-authored together Tomasz Kaczyński links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004223
2 199861
3 199542
4 199326
5 201018
6 199916
7 200816
8 198911
9 199011
10 200310
11 19979
12 19648
13 19938
14 20168
15 19997
16 20136
17 20166
18 20016
19 19975
20 20124

About Tomasz Kaczyński

Tomasz Kaczyński is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Geometry and Topology, Applied Mathematics and Numerical Analysis, having authored 38 papers that have together received 530 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (20 papers), Homotopy and Cohomology in Algebraic Topology (15 papers), Digital Image Processing Techniques (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Quantum chaos and dynamical systems (4 papers), Advanced Differential Equations and Dynamical Systems (4 papers), Mathematical Dynamics and Fractals (4 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Mathematical Physics (219 citations), Computational Theory and Mathematics (357 citations), Geometry and Topology (101 citations), Computer Graphics and Computer-Aided Design (28 citations) and Biophysics (43 citations). Tomasz Kaczyński has collaborated with scholars based in Canada, Poland and United States. Frequent co-authors include Marian Mrożek, Konstantin Mischaikow, Marlène Frigon, Wiesław Krawcewicz, Thomas Wanner, Vera Zeidan, Paweł Dłotko, Claudia Landi, Lynn Erbe and Jian Wu. Their work appears in journals such as Transactions of the American Mathematical Society, Computers & Mathematics with Applications, Journal of Mathematical Imaging and Vision, Topological Methods in Nonlinear Analysis and Discrete & Computational Geometry.

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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