Daniel Lazard
Impact in
- Algebra and Number Theory top 1%
- Commutative Algebra and Its Applications
- Computational Theory and Mathematics top 0.2%
- Polynomial and algebraic computation
Papers in
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- Polynomial and algebraic computation 34
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- Advanced Numerical Analysis Techniques 25
- Co-authors
- Jean‐Charles Faugère (3 shared papers)Teo Mora (1 shared paper)P. Gianni (1 shared paper)Fabrice Rouillier (4 shared papers)Marc Moreno Maza (1 shared paper)Philippe Aubry (1 shared paper)Sylvain Lazard (10 shared papers)Sylvain Petitjean (7 shared papers)
In The Last Decade
Daniel Lazard
54 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 86
- Algebra and Number Theory 787
- Computational Theory and Mathematics 1.6k
- Geometry and Topology 719
- Computer Graphics and Computer-Aided Design 191
- Computational Mathematics 24
Countries citing papers authored by Daniel Lazard
This map shows the geographic impact of Daniel Lazard'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 Daniel Lazard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lazard more than expected).
Fields of papers citing papers by Daniel Lazard
This network shows the impact of papers produced by Daniel Lazard. 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 Daniel Lazard. The network helps show where Daniel Lazard may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Lazard, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 375 | |
| 2 | 1983 | 280 | |
| 3 | 1969 | 187 | |
| 4 | 1999 | 183 | |
| 5 | 1981 | 160 | |
| 6 | 1992 | 124 | |
| 7 | 2007 | 118 | |
| 8 | 1991 | 96 | |
| 9 | 1995 | 86 | |
| 10 | 1985 | 57 | |
| 11 | 1988 | 53 | |
| 12 | 1977 | 53 | |
| 13 | 1993 | 51 | |
| 14 | 2009 | 50 | |
| 15 | 1991 | 33 | |
| 16 | 2007 | 32 | |
| 17 | 1994 | 32 | |
| 18 | 2003 | 30 | |
| 19 | 2008 | 27 | |
| 20 | 1990 | 23 |
About Daniel Lazard
Daniel Lazard is a scholar working on Computational Theory and Mathematics, Computational Mechanics, Geometry and Topology, Algebra and Number Theory and Computer Graphics and Computer-Aided Design, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Polynomial and algebraic computation (34 papers), Advanced Numerical Analysis Techniques (25 papers), Commutative Algebra and Its Applications (11 papers), Computational Geometry and Mesh Generation (9 papers), Robotic Mechanisms and Dynamics (6 papers), Algebraic Geometry and Number Theory (6 papers), Advanced Differential Equations and Dynamical Systems (6 papers) and Coding theory and cryptography (5 papers). The work is most often cited by research in Algebra and Number Theory (787 citations), Computational Theory and Mathematics (1.6k citations), Geometry and Topology (719 citations), Computer Graphics and Computer-Aided Design (191 citations) and Computational Mathematics (24 citations). Daniel Lazard has collaborated with scholars based in France, Australia and Austria. Frequent co-authors include Jean‐Charles Faugère, Teo Mora, P. Gianni, Fabrice Rouillier, Marc Moreno Maza, Philippe Aubry, Sylvain Lazard, Sylvain Petitjean, Laurent Dupont and Y. N. Lakshman. Their work appears in journals such as Bulletin de la Société mathématique de France, Journal of Symbolic Computation, Progress in mathematics, Discrete Applied Mathematics and Journal of Algebra.
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.