Jacques Justin

1.0k citations
26 papers · 494 · h-index 11

Impact in

Papers in

Jacques Justin

25 papers receiving 456 citations

Peers

Jacques Justin
Comparison fields: 5 of 16
  • Computational Theory and Mathematics 480
  • Discrete Mathematics and Combinatorics 48
  • Artificial Intelligence 331
  • Geometry and Topology 83
  • Mathematical Physics 50
Replace Patrice Séébold with:
Patrice Séébold France
Stuart Margolis United States
Arturo Carpi Italy
Gracinda M. S. Gomes Portugal
Narad Rampersad Canada
John Meakin United States
Bret Tilson United States
Jarosław Grytczuk Poland
C. J. Ash Australia
Dietrich Kuske Germany
Jacques Justin relative to Patrice Séébold France Patrice Séébold's profile →
Citations per field
00.5×10×17×
Patrice Séébold · 1×
Citations per year

Countries citing papers authored by Jacques Justin

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Justin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Jacques Justin, 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 Jacques Justin Line = papers co-authored together Jacques Justin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001130
2 200258
3 200858
4 200047
5 200530
6 197226
7 200022
8 200118
9 200416
10 197214
11 200213
12 200710
13 19868
14 19978
15 19937
16 19895
17 19964
18 19914
19 19844
20 19903

About Jacques Justin

Jacques Justin is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Discrete Mathematics and Combinatorics, Geometry and Topology and Molecular Biology, having authored 26 papers that have together received 494 indexed citations. Recurring topics across this work include semigroups and automata theory (23 papers), Advanced Algebra and Logic (9 papers), Logic, programming, and type systems (5 papers), Limits and Structures in Graph Theory (5 papers), Natural Language Processing Techniques (5 papers), Finite Group Theory Research (4 papers), Algorithms and Data Compression (3 papers) and Advanced Graph Theory Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (480 citations), Discrete Mathematics and Combinatorics (48 citations), Artificial Intelligence (331 citations), Geometry and Topology (83 citations) and Mathematical Physics (50 citations). Jacques Justin has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Giuseppe Pirillo, Laurent Vuillon, Amy Glen, Luca Q. Zamboni and Andrei Kelarev. Their work appears in journals such as Theoretical Computer Science, Semigroup Forum, European Journal of Combinatorics, Journal of Combinatorial Theory Series A 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.

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