Daniel Lazard

42 papers receiving 1.3k citations

Peers

Daniel Lazard
Comparison fields: 5 of 79
  • Algebra and Number Theory 550
  • Computational Theory and Mathematics 942
  • Geometry and Topology 485
  • Computer Graphics and Computer-Aided Design 112
  • Computational Mathematics 18
Replace Teo Mora with:
Teo Mora Italy
Marie-Françoise Roy France
Saugata Basu United States
Jan Verschelde United States
Barry Trager United States
Jean‐Charles Faugère France
Franz Winkler Austria
Lorenzo Robbiano Italy
Rekha R. Thomas United States
Fabrice Rouillier France
Daniel Lazard relative to Teo Mora Italy Teo Mora's profile →
Citations per field
00.5×5.6×
Teo Mora · 1×
Citations per year

Countries citing papers authored by Daniel Lazard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Lazard Line = papers co-authored together Daniel Lazard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993273
2 1969173
3 1999136
4 1981120
5 199297
6 200791
7 199174
8 199566
9 198846
10 198544
11 197738
12 200936
13 200728
14 200823
15 200321
16 197420
17 199020
18 200218
19 196718
20 200717

About Daniel Lazard

Daniel Lazard is a scholar working on Algebra and Number Theory, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Computational Mathematics and Geometry and Topology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Polynomial and algebraic computation (27 papers), Advanced Numerical Analysis Techniques (21 papers), Commutative Algebra and Its Applications (10 papers), Computational Geometry and Mesh Generation (7 papers), Advanced Differential Equations and Dynamical Systems (6 papers), Robotic Mechanisms and Dynamics (5 papers), Algebraic Geometry and Number Theory (5 papers) and Coding theory and cryptography (4 papers). The work is most often cited by research in Algebra and Number Theory (550 citations), Computational Theory and Mathematics (942 citations), Geometry and Topology (485 citations), Computer Graphics and Computer-Aided Design (112 citations) and Computational Mathematics (18 citations). Daniel Lazard has collaborated with scholars based in France, Australia and Austria. Frequent co-authors include Jean‐Charles Faugère, P. Gianni, Teo Mora, Fabrice Rouillier, Marc Moreno Maza, Philippe Aubry, Sylvain Lazard, Sylvain Petitjean, Laurent Dupont and François Ollivier. Their work appears in journals such as Bulletin de la Société mathématique de France, Journal of Symbolic Computation, International Journal of Algebra and Computation, Mathematics and Computers in Simulation and Discrete Applied Mathematics.

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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