Bernard Bercu

1.3k citations
58 papers · 664 · h-index 15

Impact in

    • Statistical Methods and Inference
    • Statistical Distribution Estimation and Applications
    • Random Matrices and Applications
  • Finance top 2%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling

Papers in

    • Stochastic processes and financial applications 21
    • Financial Risk and Volatility Modeling 12
    • Statistical Methods and Inference 13
    • Markov Chains and Monte Carlo Methods 6

Bernard Bercu

52 papers receiving 629 citations

Peers

Bernard Bercu
Comparison fields: 5 of 57
  • Statistics and Probability 259
  • Finance 300
  • Mathematical Physics 180
  • Management Science and Operations Research 137
  • Applied Mathematics 55
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Gyula Pap Hungary
Fuqing Gao China
Konstantin Borovkov Australia
Florence Merlevède France
Peter Spreij Netherlands
Alexander Novikov Russia
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Paolo Dai Pra Italy
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Citations per field
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Citations per year

Countries citing papers authored by Bernard Bercu

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Bercu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bernard Bercu, 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 Bernard Bercu Line = papers co-authored together Bernard Bercu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199767
2 200262
3 200850
4 201749
5 201543
6 199537
7 201132
8 200028
9 200925
10 201221
11 200921
12 200320
13 201519
14 201615
15 199814
16 200114
17 201311
18 201010
19 202210
20 20029

About Bernard Bercu

Bernard Bercu is a scholar working on Finance, Statistics and Probability, Artificial Intelligence, Mathematical Physics and Management Science and Operations Research, having authored 58 papers that have together received 664 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (21 papers), Probability and Risk Models (14 papers), Stochastic processes and statistical mechanics (14 papers), Statistical Methods and Inference (13 papers), Financial Risk and Volatility Modeling (12 papers), Bayesian Methods and Mixture Models (12 papers), Markov Chains and Monte Carlo Methods (6 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). The work is most often cited by research in Statistics and Probability (259 citations), Finance (300 citations), Mathematical Physics (180 citations), Management Science and Operations Research (137 citations) and Applied Mathematics (55 citations). Bernard Bercu has collaborated with scholars based in France, Mexico and United States. Frequent co-authors include Alain Rouault, Fabrice Gamboa, Nicolas Savy, Adrien Richou, Laure Coutin, Emmanuel Rio, Bernard Delyon, Marc Lavielle, Benoîte de Saporta and Anne Gégout‐Petit. Their work appears in journals such as Stochastic Processes and their Applications, SIAM Journal on Control and Optimization, Electronic Journal of Probability, Journal of Applied Probability and Journal of Physics A Mathematical and Theoretical.

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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