Marek Kanter

862 citations
45 papers · 669 · h-index 13

Impact in

    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
  • Finance top 5%
    • Financial Risk and Volatility Modeling
    • Stochastic processes and financial applications

Papers in

Marek Kanter

42 papers receiving 550 citations

Peers

Marek Kanter
Comparison fields: 5 of 59
  • Statistics and Probability 265
  • Finance 251
  • Mathematical Physics 149
  • Applied Mathematics 97
  • Statistics, Probability and Uncertainty 58
Replace Yu. A. Davydov with:
Yu. A. Davydov France
Michael J. Wichura United States
В. А. Волконский Russia
Howard G. Tucker United States
R. J. Serfling United States
Eugene Lukács United States
Abram Kagan United States
Manfred Denker United States
Gyula Pap Hungary
K. van Harn Netherlands
Marek Kanter relative to Yu. A. Davydov France Yu. A. Davydov's profile →
Citations per field
00.5×1.5×2.1×
Yu. A. Davydov · 1×
Citations per year

Countries citing papers authored by Marek Kanter

Since Specialization
Citations

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

Fields of papers citing papers by Marek Kanter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Marek Kanter, 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 Marek Kanter Line = papers co-authored together Marek Kanter 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 1975111
2 197779
3 197464
4 197462
5 197243
6 197441
7 197736
8 197521
9 197318
10 197617
11 197317
12 197516
13 197612
14 197411
15 197311
16 197710
17 19799
18 19738
19 19857
20 19787

About Marek Kanter

Marek Kanter is a scholar working on Mathematical Physics, Statistics and Probability, Finance, Applied Mathematics and Management Science and Operations Research, having authored 45 papers that have together received 669 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (8 papers), Probability and Risk Models (6 papers), Stochastic processes and statistical mechanics (5 papers), Financial Risk and Volatility Modeling (5 papers), Markov Chains and Monte Carlo Methods (4 papers), Point processes and geometric inequalities (4 papers), advanced mathematical theories (4 papers) and Advanced Topology and Set Theory (4 papers). The work is most often cited by research in Statistics and Probability (265 citations), Finance (251 citations), Mathematical Physics (149 citations), Applied Mathematics (97 citations) and Statistics, Probability and Uncertainty (58 citations). Marek Kanter has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include William Steiger, E. J. Hannan, R. M. Dudley, Richard L. Hall and Michael D. Perlman. Their work appears in journals such as Proceedings of the American Mathematical Society, Journal of Applied Probability, The Annals of Probability, Transactions of the American Mathematical Society and Probability Theory and Related Fields.

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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