Igor Kortchemski

607 citations
22 papers · 177 · h-index 8

Impact in

Papers in

Igor Kortchemski

17 papers receiving 154 citations

Peers

Igor Kortchemski
Comparison fields: 5 of 24
  • Mathematical Physics 159
  • Statistics and Probability 75
  • Discrete Mathematics and Combinatorics 20
  • Condensed Matter Physics 43
  • Geometry and Topology 27
Replace Jean‐François Marckert with:
Jean‐François Marckert France
Guus Regts Netherlands
Perla Sousi United Kingdom
Elliot Paquette Canada
Riddhipratim Basu India
Alexey Bufetov Russia
Marc Peigné France
Joseph Najnudel United Kingdom
Zoltán Buczolich Hungary
Michael Damron United States
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Citations per field
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Citations per year

Countries citing papers authored by Igor Kortchemski

Since Specialization
Citations

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

Fields of papers citing papers by Igor Kortchemski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201232
2 201424
3 201422
4 201618
5 201416
6 201814
7 201513
8 20098
9 20166
10
Random stable laminations of the disk
20164
11 20174
12 20154
13
Invariance principles for conditioned Galton-Watson trees
20113
14 20203
15 20213
16
Trajectories in random minimal transposition factorizations
20182
17 20231
18 20250
19 20240
20 20150

About Igor Kortchemski

Igor Kortchemski is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Geometry and Topology and Finance, having authored 22 papers that have together received 177 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (18 papers), Mathematical Dynamics and Fractals (8 papers), Markov Chains and Monte Carlo Methods (7 papers), Theoretical and Computational Physics (4 papers), Point processes and geometric inequalities (3 papers), Financial Risk and Volatility Modeling (3 papers), Bayesian Methods and Mixture Models (3 papers) and Geometry and complex manifolds (2 papers). The work is most often cited by research in Mathematical Physics (159 citations), Statistics and Probability (75 citations), Discrete Mathematics and Combinatorics (20 citations), Condensed Matter Physics (43 citations) and Geometry and Topology (27 citations). Igor Kortchemski has collaborated with scholars based in France, Switzerland and Israel. Frequent co-authors include Nicolas Curien, Jean Bertoin, Bénédicte Haas, Thomas Duquesne, Valentin Féray and Louigi Addario‐Berry. Their work appears in journals such as Electronic Journal of Probability, Probability Theory and Related Fields, Annales de l Institut Henri Poincaré Probabilités et Statistiques, The Annals of Applied Probability and The Annals of Probability.

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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