Jan Verschelde

73 papers receiving 1.7k citations

Peers

Jan Verschelde
Comparison fields: 5 of 73
  • Computational Mathematics 63
  • Algebra and Number Theory 437
  • Computational Theory and Mathematics 1.5k
  • Numerical Analysis 277
  • Computational Mechanics 951
Replace Jonathan D. Hauenstein with:
Jonathan D. Hauenstein United States
Mariano Gasca Spain
Daniel Lazard France
Fabrice Rouillier France
Joos Heintz Argentina
Éric Schost Canada
Vadim Olshevsky United States
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Citations per field
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Citations per year

Countries citing papers authored by Jan Verschelde

Since Specialization
Citations

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

Fields of papers citing papers by Jan Verschelde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Verschelde, 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 Jan Verschelde Line = papers co-authored together Jan Verschelde links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999412
2 1994152
3 2006104
4 2001100
5 200274
6 200070
7 200161
8 200452
9 200543
10 199643
11 200842
12 199838
13 199334
14 200832
15 200431
16 199131
17 201129
18 199328
19 199526
20 200425

About Jan Verschelde

Jan Verschelde is a scholar working on Computational Theory and Mathematics, Computational Mechanics, Algebra and Number Theory, Geometry and Topology and Numerical Analysis, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Polynomial and algebraic computation (74 papers), Advanced Numerical Analysis Techniques (41 papers), Numerical Methods and Algorithms (32 papers), Commutative Algebra and Its Applications (19 papers), Formal Methods in Verification (10 papers), Advanced Differential Equations and Dynamical Systems (9 papers), Numerical methods for differential equations (4 papers) and Cryptography and Residue Arithmetic (4 papers). The work is most often cited by research in Computational Mathematics (63 citations), Algebra and Number Theory (437 citations), Computational Theory and Mathematics (1.5k citations), Numerical Analysis (277 citations) and Computational Mechanics (951 citations). Jan Verschelde has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Andrew John Sommese, Charles W. Wampler, Ronald Cools, Anton Leykin, Pierre Jacques Verlinden, Birkett Huber, Karin Gatermann, Ann Haegemans, Dirk Roose and Yun Lin Guan. Their work appears in journals such as SIAM Journal on Numerical Analysis, Journal of Computational and Applied Mathematics, Theoretical Computer Science, Applied Mathematics and Computation 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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