Pierre Calka

576 citations
27 papers · 214 · h-index 9

Impact in

Papers in

Pierre Calka

25 papers receiving 204 citations

Peers

Pierre Calka
Comparison fields: 5 of 46
  • Applied Mathematics 148
  • Computer Graphics and Computer-Aided Design 42
  • Statistics and Probability 43
  • Geometry and Topology 40
  • Mathematical Physics 40
Replace Jan Rataj with:
Jan Rataj Czechia
E. D. Gluskin Israel
Mathieu Meyer France
Qinglan Xia United States
Danylo Radchenko Germany
Endre Makai Hungary
Eugene Stepanov Italy
Daniel A. Klain United States
Andriy Bondarenko Ukraine
P. R. Scott Australia
Pierre Calka relative to Jan Rataj Czechia Jan Rataj's profile →
Citations per field
00.5×3.3×
Jan Rataj · 1×
Citations per year

Countries citing papers authored by Pierre Calka

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Calka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Pierre Calka, 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 Pierre Calka Line = papers co-authored together Pierre Calka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200229
2 200328
3 200326
4 201419
5 201318
6 201314
7 201414
8 200210
9 20038
10 20088
11 20087
12 20015
13 20064
14 20194
15 20164
16 20133
17 20053
18 20062
19 20212
20 20021

About Pierre Calka

Pierre Calka is a scholar working on Applied Mathematics, Computer Graphics and Computer-Aided Design, Geometry and Topology, Artificial Intelligence and Statistics and Probability, having authored 27 papers that have together received 214 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (25 papers), Computational Geometry and Mesh Generation (9 papers), Bayesian Methods and Mixture Models (7 papers), Stochastic processes and statistical mechanics (5 papers), Random Matrices and Applications (5 papers), Morphological variations and asymmetry (4 papers), Geometric Analysis and Curvature Flows (3 papers) and Diffusion and Search Dynamics (3 papers). The work is most often cited by research in Applied Mathematics (148 citations), Computer Graphics and Computer-Aided Design (42 citations), Statistics and Probability (43 citations), Geometry and Topology (40 citations) and Mathematical Physics (40 citations). Pierre Calka has collaborated with scholars based in France, United States and Poland. Frequent co-authors include J. E. Yukich, H. J. Hilhorst, Grégory Schehr, Nathanaël Enriquez, Pierre Vallois and Julien Michel. Their work appears in journals such as Advances in Applied Probability, Probability Theory and Related Fields, Comptes Rendus Mathématique, The Annals of Probability and Stochastic Processes and their Applications.

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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