Mark van Hoeij
- Computational Theory and Mathematics top 0.5%
- Geometry and Topology top 2%
- Algebra and Number Theory top 5%
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Co-authors
- Bernard DeconinckJacques-Arthur WeilС. А. АбрамовThomas CluzeauMichael MonaganAlexander I. BobenkoMatthias HeilCarsten Schneider
- Topics
- Polynomial and algebraic computation (38 papers)Algebraic Geometry and Number Theory (10 papers)Numerical methods for differential equations (10 papers)
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
Mark van Hoeij
60 papers receiving 986 citations
Peers
Comparison fields: 5 of 42
- Computational Theory and Mathematics 628
- Geometry and Topology 370
- Algebra and Number Theory 214
- Artificial Intelligence 202
- Computational Mechanics 169
Countries citing papers authored by Mark van Hoeij
This map shows the geographic impact of Mark van Hoeij'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 Mark van Hoeij with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark van Hoeij more than expected).
Fields of papers citing papers by Mark van Hoeij
This network shows the impact of papers produced by Mark van Hoeij. 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 Mark van Hoeij. The network helps show where Mark van Hoeij may publish in the future.
Co-authorship network of co-authors of Mark van Hoeij
This figure shows the co-authorship network connecting the top 25 collaborators of Mark van Hoeij. A scholar is included among the top collaborators of Mark van Hoeij 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 Mark van Hoeij. Mark van Hoeij is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 22 | |
| 6 | 12 | |
| 7 | 11 | |
| 8 | Proceedings of the 37th International Symposium on Symbolic and Algebraic Computation | 2 |
| 9 | 9 | |
| 10 | 8 | |
| 11 | 10 | |
| 12 | 11 | |
| 13 | 38 | |
| 14 | 47 | |
| 15 | 60 | |
| 16 | 33 | |
| 17 | 55 | |
| 18 | 68 | |
| 19 | 28 | |
| 20 | 36 |
About Mark van Hoeij
Mark van Hoeij is a scholar working on Algebra and Number Theory, Computational Theory and Mathematics and Numerical Analysis, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Polynomial and algebraic computation (38 papers), Algebraic Geometry and Number Theory (10 papers) and Numerical methods for differential equations (10 papers). The work is most often cited by research in Algebra and Number Theory (214 citations), Geometry and Topology (370 citations) and Computational Theory and Mathematics (628 citations). Mark van Hoeij has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Bernard Deconinck, Jacques-Arthur Weil, С. А. Абрамов, Thomas Cluzeau, Michael Monagan, Alexander I. Bobenko, Matthias Heil, Carsten Schneider, J. Blümlein and Clemens G. Raab. Their work appears in journals such as Mathematics of Computation, Physica D Nonlinear Phenomena and Journal of Mathematical Physics.
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.