Jan Rataj
- Applied Mathematics top 2%
- Geometry and Topology top 5%
- Mathematical Physics top 10%
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics top 10%
- Co-authors
- Martina ZähleIvan SaxlSteffen WinterViktor BenešMarkus KiderlenTomáš MrkvičkaEva B. Vedel JensenVolker Schmidt
- Topics
- Point processes and geometric inequalities (36 papers)Geometric Analysis and Curvature Flows (19 papers)Morphological variations and asymmetry (8 papers)
In The Last Decade
Jan Rataj
47 papers receiving 331 citations
Peers
Comparison fields: 5 of 51
- Applied Mathematics 267
- Geometry and Topology 110
- Mathematical Physics 78
- Computer Vision and Pattern Recognition 53
- Computational Theory and Mathematics 51
Countries citing papers authored by Jan Rataj
This map shows the geographic impact of Jan Rataj'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 Rataj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Rataj more than expected).
Fields of papers citing papers by Jan Rataj
This network shows the impact of papers produced by Jan Rataj. 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 Rataj. The network helps show where Jan Rataj may publish in the future.
Co-authorship network of co-authors of Jan Rataj
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Rataj. A scholar is included among the top collaborators of Jan Rataj based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Rataj. Jan Rataj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Critical values and level sets of distance functions in Riemannian, Alexandrov and Minkowski spaces | 4 |
| 3 | 11 | |
| 4 | A note on measures of parallel sets | 1 |
| 5 | ON ESTIMATION OF INTRINSIC VOLUME DENSITIES OF STATIONARY RANDOM CLOSED SETS VIA PARALLEL SETS IN THE PLANE | 3 |
| 6 | 10 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 23 | |
| 11 | A remark on mixed curvature measures for sets with positive reach. | 4 |
| 12 | 2 | |
| 13 | Spherical contact and nearest neighbour distances in Boolean cluster fields | 3 |
| 14 | Estimation of oriented normal direction distribution via mixed areas | 2 |
| 15 | 19 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | 2 | |
| 20 | 1 |
About Jan Rataj
Jan Rataj is a scholar working on Applied Mathematics, Geometry and Topology and Mathematical Physics, having authored 52 papers that have together received 363 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (36 papers), Geometric Analysis and Curvature Flows (19 papers) and Morphological variations and asymmetry (8 papers). The work is most often cited by research in Applied Mathematics (267 citations), Geometry and Topology (110 citations) and Mathematical Physics (78 citations). Jan Rataj has collaborated with scholars based in Czechia, Germany and Denmark. Frequent co-authors include Martina Zähle, Ivan Saxl, Steffen Winter, Viktor Beneš, Markus Kiderlen, Tomáš Mrkvička, Eva B. Vedel Jensen, Volker Schmidt, F. Kroupa and David Preiss. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Advances in Mathematics and Proceedings of the American Mathematical Society.
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.