Jean‐Marc Eber
Impact in
- Finance top 0.1%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Financial Markets and Investment Strategies
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- Risk and Portfolio Optimization
Papers in
-
- Risk and Portfolio Optimization 4
- Finance 3
- Stochastic processes and financial applications 1
- Banking stability, regulation, efficiency 1
- Co-authors
- Philippe Artzner (4 shared papers)Freddy Delbaen (4 shared papers)David Heath (3 shared papers)Hyejin Ku (2 shared papers)Julian Seward (2 shared papers)Simon Peyton Jones (2 shared papers)David G. Heath (1 shared paper)
- Journals
- Mathematical Finance (1 paper)ACM SIGPLAN Notices (1 paper)Annals of Operations Research (1 paper)Lecture notes in computer science (1 paper)Risk Management (1 paper)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Jean‐Marc Eber
8 papers receiving 5.8k citations
Jean‐Marc Eber's Hit Papers
Peers
Comparison fields: 5 of 102
- Finance 3.8k
- Management Science and Operations Research 4.1k
- General Decision Sciences 235
- Economics and Econometrics 2.6k
- Statistics and Probability 768
Countries citing papers authored by Jean‐Marc Eber
This map shows the geographic impact of Jean‐Marc Eber'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 Jean‐Marc Eber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Marc Eber more than expected).
Fields of papers citing papers by Jean‐Marc Eber
This network shows the impact of papers produced by Jean‐Marc Eber. 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 Jean‐Marc Eber. The network helps show where Jean‐Marc Eber may publish in the future.
Co-authors
The 7 scholars most cited alongside Jean‐Marc Eber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Coherent Measures of Risk Hit paper breakdown → | 1999 | 5999 |
| 2 | 2006 | 272 | |
| 3 | 2000 | 68 | |
| 4 | 2002 | 65 | |
| 5 | COHERENT MULTIPERIOD RISK MEASUREMENT | 2002 | 48 |
| 6 | 2000 | 27 | |
| 7 | 2003 | 27 | |
| 8 | 2009 | 2 |
About Jean‐Marc Eber
Jean‐Marc Eber is a scholar working on Management Science and Operations Research, Finance, Artificial Intelligence, Computer Networks and Communications and Discrete Mathematics and Combinatorics, having authored 8 papers that have together received 6.5k indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (4 papers), Multi-Agent Systems and Negotiation (2 papers), Stochastic processes and financial applications (1 paper), Banking stability, regulation, efficiency (1 paper), Risk and Safety Analysis (1 paper), Insurance and Financial Risk Management (1 paper), Logic, programming, and type systems (1 paper) and Risk Management in Financial Firms (1 paper). The work is most often cited by research in Finance (3.8k citations), Management Science and Operations Research (4.1k citations), General Decision Sciences (235 citations), Economics and Econometrics (2.6k citations) and Statistics and Probability (768 citations). Jean‐Marc Eber has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Philippe Artzner, Freddy Delbaen, David Heath, Hyejin Ku, Julian Seward, Simon Peyton Jones and David G. Heath. Their work appears in journals such as Mathematical Finance, ACM SIGPLAN Notices, Annals of Operations Research, Lecture notes in computer science and Risk Management.
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.