Pierre Liardet

853 total citations
33 papers, 353 citations indexed

About

Pierre Liardet is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Pierre Liardet has authored 33 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mathematical Physics, 12 papers in Computational Theory and Mathematics and 8 papers in Artificial Intelligence. Recurrent topics in Pierre Liardet's work include Mathematical Dynamics and Fractals (13 papers), semigroups and automata theory (4 papers) and Numerical Methods and Algorithms (4 papers). Pierre Liardet is often cited by papers focused on Mathematical Dynamics and Fractals (13 papers), semigroups and automata theory (4 papers) and Numerical Methods and Algorithms (4 papers). Pierre Liardet collaborates with scholars based in France, Poland and Austria. Pierre Liardet's co-authors include Peter J. Grabner, Cor Kraaikamp, Jean‐Paul Allouche, Robert F. Tichy, Valérie Berthé, Jörg Μ. Thuswaldner, Mariusz Lemańczyk, Dalibor Volný, Marc Schoenauer and Pierre Gabriel and has published in prestigious journals such as Proceedings of the American Mathematical Society, Lecture notes in computer science and Studia Mathematica.

In The Last Decade

Pierre Liardet

30 papers receiving 298 citations

Peers

Pierre Liardet
Comparison fields: 5 of 44
  • Mathematical Physics 204
  • Computational Theory and Mathematics 154
  • Geometry and Topology 86
  • Artificial Intelligence 77
  • Algebra and Number Theory 67
Replace Imre Kátai with:
Imre Kátai Hungary
M. M. Skriganov Russia
Fritz Schweiger Austria
William J. Gilbert Canada
John Loxton Australia
Ray Mines United States
Werner Gähler Germany
Karma Dajani Netherlands
Tom C. Brown Canada
R. F. Lax United States
Imre Kátai Hungary View profile →
Citations per field, relative to Pierre Liardet
Pierre Liardet · 1×
Citations per year, relative to Pierre Liardet
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Countries citing papers authored by Pierre Liardet

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Liardet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Liardet

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Liardet. A scholar is included among the top collaborators of Pierre Liardet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pierre Liardet. Pierre Liardet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 34
5 12
6 3
7 4
8 4
9 2
10 2
11 4
12 15
13
On extremal and perfect σ-algebras for $ℤ^{d}$-actions on a Lebesgue space
1
14 5
15 28
16 4
17 0
18
Regularities of distribution
35
19 3
20
Répartitions uniformes des suites et indépendance statistique
1

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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