Jean Vignes
Impact in
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations
- Advanced Optimization Algorithms Research
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- Numerical Methods and Algorithms
- Matrix Theory and Algorithms
- Polynomial and algebraic computation
Papers in
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- Numerical Methods and Algorithms 10
- Polynomial and algebraic computation 3
-
- Advanced Optimization Algorithms Research 3
- Co-authors
- M. Porte (5 shared papers)Stéphane Guilain (2 shared papers)François Rigolot (1 shared paper)
- Journals
- Mathematics and Computers in Simulation (6 papers)Numerische Mathematik (3 papers)Applied Numerical Mathematics (2 papers)Computers & Mathematics with Applications (1 paper)Numerical Algorithms (1 paper)
- Partner nations
- FranceUnited States
In The Last Decade
Jean Vignes
26 papers receiving 324 citations
Peers
Comparison fields: 5 of 73
- Numerical Analysis 87
- Computational Theory and Mathematics 213
- Modeling and Simulation 37
- Statistics and Probability 45
- Statistics, Probability and Uncertainty 38
Countries citing papers authored by Jean Vignes
This map shows the geographic impact of Jean Vignes'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 Jean Vignes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Vignes more than expected).
Fields of papers citing papers by Jean Vignes
This network shows the impact of papers produced by Jean Vignes. 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 Jean Vignes. The network helps show where Jean Vignes may publish in the future.
Co-authors
The 3 scholars most cited alongside Jean Vignes, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 72 | |
| 2 | 2004 | 47 | |
| 3 | 1978 | 46 | |
| 4 | Error Analysis in Computing. | 1974 | 36 |
| 5 | 1974 | 21 | |
| 6 | 1988 | 16 | |
| 7 | Algorithmes numériques : analyse et mise en œuvre | 1974 | 15 |
| 8 | 1996 | 13 | |
| 9 | 1981 | 11 | |
| 10 | 1985 | 9 | |
| 11 | 1977 | 8 | |
| 12 | 1982 | 7 | |
| 13 | 1974 | 7 | |
| 14 | 1975 | 7 | |
| 15 | 1984 | 6 | |
| 16 | 1980 | 5 | |
| 17 | 1994 | 4 | |
| 18 | 1984 | 4 | |
| 19 | 1982 | 4 | |
| 20 | 2001 | 3 |
About Jean Vignes
Jean Vignes is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Classics, Computer Vision and Pattern Recognition and Signal Processing, having authored 36 papers that have together received 357 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (10 papers), Image and Signal Denoising Methods (4 papers), Digital Filter Design and Implementation (4 papers), Renaissance Literature and Culture (4 papers), Polynomial and algebraic computation (3 papers), Probabilistic and Robust Engineering Design (3 papers), Advanced Optimization Algorithms Research (3 papers) and Historical and Literary Studies (3 papers). The work is most often cited by research in Numerical Analysis (87 citations), Computational Theory and Mathematics (213 citations), Modeling and Simulation (37 citations), Statistics and Probability (45 citations) and Statistics, Probability and Uncertainty (38 citations). Jean Vignes has collaborated with scholars based in France and United States. Frequent co-authors include M. Porte, Stéphane Guilain and François Rigolot. Their work appears in journals such as Mathematics and Computers in Simulation, Numerische Mathematik, Applied Numerical Mathematics, Computers & Mathematics with Applications and Numerical Algorithms.
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.