Éric Schost
Impact in
- Algebra and Number Theory top 5%
- Commutative Algebra and Its Applications
- Computational Theory and Mathematics top 0.5%
- Polynomial and algebraic computation
- Numerical Methods and Algorithms
- Formal Methods in Verification
Papers in
-
- Polynomial and algebraic computation 72
- Numerical Methods and Algorithms 14
- Complexity and Algorithms in Graphs 6
-
- Coding theory and cryptography 27
- Co-authors
- Alin Bostan (15 shared papers)Pierrick Gaudry (9 shared papers)Mohab Safey El Din (10 shared papers)Marc Moreno Maza (15 shared papers)Bruno Salvy (6 shared papers)Wenyuan Wu (2 shared papers)M Giusti (2 shared papers)Yuzhen Xie (1 shared paper)
In The Last Decade
Éric Schost
79 papers receiving 999 citations
Peers
Comparison fields: 5 of 48
- Algebra and Number Theory 244
- Computational Theory and Mathematics 813
- Computational Mathematics 28
- Geometry and Topology 276
- Information Systems 336
Countries citing papers authored by Éric Schost
This map shows the geographic impact of Éric Schost'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 Éric Schost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Schost more than expected).
Fields of papers citing papers by Éric Schost
This network shows the impact of papers produced by Éric Schost. 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 Éric Schost. The network helps show where Éric Schost may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Schost, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 67 | |
| 2 | 2003 | 63 | |
| 3 | 2005 | 51 | |
| 4 | 2004 | 43 | |
| 5 | 2009 | 38 | |
| 6 | 2011 | 38 | |
| 7 | 2007 | 38 | |
| 8 | 2004 | 34 | |
| 9 | 2008 | 33 | |
| 10 | 2010 | 30 | |
| 11 | 2005 | 28 | |
| 12 | 2003 | 27 | |
| 13 | 2017 | 25 | |
| 14 | 2005 | 23 | |
| 15 | 2010 | 23 | |
| 16 | 2004 | 23 | |
| 17 | 2007 | 22 | |
| 18 | 2007 | 22 | |
| 19 | 2010 | 21 | |
| 20 | 2001 | 21 |
About Éric Schost
Éric Schost is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Geometry and Topology, Information Systems and Algebra and Number Theory, having authored 90 papers that have together received 1.1k indexed citations. Recurring topics across this work include Polynomial and algebraic computation (72 papers), Coding theory and cryptography (27 papers), Cryptography and Residue Arithmetic (26 papers), Commutative Algebra and Its Applications (25 papers), Algebraic Geometry and Number Theory (25 papers), Advanced Numerical Analysis Techniques (18 papers), Numerical Methods and Algorithms (14 papers) and Complexity and Algorithms in Graphs (6 papers). The work is most often cited by research in Algebra and Number Theory (244 citations), Computational Theory and Mathematics (813 citations), Computational Mathematics (28 citations), Geometry and Topology (276 citations) and Information Systems (336 citations). Éric Schost has collaborated with scholars based in Canada, France and China. Frequent co-authors include Alin Bostan, Pierrick Gaudry, Mohab Safey El Din, Marc Moreno Maza, Bruno Salvy, Wenyuan Wu, M Giusti, Yuzhen Xie, Xin Li and François Morain. Their work appears in journals such as Theoretical Computer Science, Mathematics of Computation, Journal of Complexity, Journal of the ACM and Computational Complexity.
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.