Ivan Vidav
Impact in
- Mathematical Physics top 5%
- Numerical methods in inverse problems
- Spectral Theory in Mathematical Physics
- Advanced Banach Space Theory
- Applied Mathematics top 2%
- Holomorphic and Operator Theory
- Gas Dynamics and Kinetic Theory
Papers in
-
- Numerical methods in inverse problems 4
- Spectral Theory in Mathematical Physics 4
- advanced mathematical theories 2
-
- Functional Equations Stability Results 3
- Co-authors
- Ivan Kuščer (2 shared papers)Josip Globevnik (4 shared papers)James F. Lynch (1 shared paper)Jan Mycielski (1 shared paper)Terry R. McConnell (1 shared paper)
- Journals
- Proceedings of the American Mathematical Society (4 papers)Journal of Mathematical Analysis and Applications (3 papers)Mathematische Zeitschrift (2 papers)Zeitschrift für angewandte Mathematik und Physik (1 paper)The Michigan Mathematical Journal (1 paper)
- Partner nations
- Slovenia
In The Last Decade
Ivan Vidav
15 papers receiving 337 citations
Peers
Comparison fields: 5 of 41
- Mathematical Physics 262
- Applied Mathematics 220
- Algebra and Number Theory 63
- Computational Theory and Mathematics 163
- Numerical Analysis 14
Countries citing papers authored by Ivan Vidav
This map shows the geographic impact of Ivan Vidav'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 Vidav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Vidav more than expected).
Fields of papers citing papers by Ivan Vidav
This network shows the impact of papers produced by Ivan Vidav. 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 Vidav. The network helps show where Ivan Vidav may publish in the future.
Co-authors
The 5 scholars most cited alongside Ivan Vidav, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1968 | 114 | |
| 2 | 1970 | 109 | |
| 3 | 1956 | 66 | |
| 4 | 1969 | 43 | |
| 5 | 1969 | 24 | |
| 6 | 1977 | 11 | |
| 7 | 1971 | 9 | |
| 8 | 1978 | 7 | |
| 9 | 1974 | 6 | |
| 10 | 1973 | 4 | |
| 11 | 1975 | 3 | |
| 12 | 1973 | 3 | |
| 13 | 1977 | 3 | |
| 14 | 1976 | 2 | |
| 15 | 1955 | 2 | |
| 16 | 1975 | 1 |
About Ivan Vidav
Ivan Vidav is a scholar working on Mathematical Physics, Applied Mathematics, Computational Theory and Mathematics, Geometry and Topology and Numerical Analysis, having authored 16 papers that have together received 407 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (4 papers), Matrix Theory and Algorithms (4 papers), Spectral Theory in Mathematical Physics (4 papers), Functional Equations Stability Results (3 papers), Advanced Topics in Algebra (2 papers), Advanced Mathematical Modeling in Engineering (2 papers), advanced mathematical theories (2 papers) and Advanced Optimization Algorithms Research (2 papers). The work is most often cited by research in Mathematical Physics (262 citations), Applied Mathematics (220 citations), Algebra and Number Theory (63 citations), Computational Theory and Mathematics (163 citations) and Numerical Analysis (14 citations). Ivan Vidav has collaborated with scholars based in Slovenia. Frequent co-authors include Ivan Kuščer, Josip Globevnik, James F. Lynch, Jan Mycielski and Terry R. McConnell. Their work appears in journals such as Proceedings of the American Mathematical Society, Journal of Mathematical Analysis and Applications, Mathematische Zeitschrift, Zeitschrift für angewandte Mathematik und Physik and The Michigan Mathematical Journal.
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.