Ivan Veselić

884 citations
47 papers · 336 · h-index 10

Impact in

Papers in

Ivan Veselić

43 papers receiving 315 citations

Peers

Ivan Veselić
Comparison fields: 5 of 29
  • Mathematical Physics 286
  • Computational Theory and Mathematics 180
  • Statistics and Probability 66
  • Statistical and Nonlinear Physics 80
  • Applied Mathematics 32
Replace Michael Demuth with:
Michael Demuth Germany
Dirk Hundertmark United States
Nicolas Dirr United Kingdom
Yuri Safarov United Kingdom
Yu. M. Berezanskiĭ Ukraine
Andrea Posilicano Italy
Yu. Safarov United Kingdom
J. Beltrán Brazil
Torsten Ehrhardt Germany
Gautam Iyer United States
Ivan Veselić relative to Michael Demuth Germany Michael Demuth's profile →
Citations per field
00.5×10×13×
Michael Demuth · 1×
Citations per year

Countries citing papers authored by Ivan Veselić

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Veselić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Ivan Veselić, 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 Veselić Line = papers co-authored together Ivan Veselić 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 200740
2 200426
3 201826
4 201621
5 201117
6 200614
7 200213
8 201011
9 200810
10 20099
11 20029
12 20139
13 20079
14 20099
15 20138
16 20088
17 20237
18 20107
19 20207
20 20106

About Ivan Veselić

Ivan Veselić is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Statistics and Probability, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 47 papers that have together received 336 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (34 papers), Advanced Mathematical Modeling in Engineering (26 papers), Numerical methods in inverse problems (22 papers), Quantum chaos and dynamical systems (10 papers), Random Matrices and Applications (10 papers), Stability and Controllability of Differential Equations (5 papers), Theoretical and Computational Physics (2 papers) and Advanced Operator Algebra Research (2 papers). The work is most often cited by research in Mathematical Physics (286 citations), Computational Theory and Mathematics (180 citations), Statistics and Probability (66 citations), Statistical and Nonlinear Physics (80 citations) and Applied Mathematics (32 citations). Ivan Veselić has collaborated with scholars based in Germany, Russia and United Kingdom. Frequent co-authors include Daniel Lenz, D. I. Borisov, Norbert Peyerimhoff, Werner Kirsch, Alexander Elgart, Ayhan Demircan, Günter Steinmeyer, Olaf Post, Carsten Brée and Peter Müller. Their work appears in journals such as Annales Henri Poincaré, Journal of Functional Analysis, Mathematical Physics Analysis and Geometry, Comptes Rendus Mathématique and Scientific Reports.

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.

Explore authors with similar magnitude of impact