Peter Harremoës
Impact in
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- Statistical Mechanics and Entropy
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models
Papers in
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- Statistical Mechanics and Entropy 35
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- Advanced Statistical Methods and Models 7
- Statistical Distribution Estimation and Applications 5
- Co-authors
- Tim van ErvenFlemming TopsøeJop BriëtNaftali TishbyAlexander FedotovIgor VajdaOliver JohnsonIoannis Kontoyiannis
- Journals
- IEEE Transactions on Information Theory (10 papers)Publications (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)Kybernetika (1 paper)Journal of Theoretical Probability (1 paper)
- Partner nations
- DenmarkNetherlandsCzechia
In The Last Decade
Peter Harremoës
57 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Statistical and Nonlinear Physics 448
- Statistics and Probability 245
- Artificial Intelligence 688
- Applied Mathematics 108
- Computational Mathematics 6
Countries citing papers authored by Peter Harremoës
This map shows the geographic impact of Peter Harremoës'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 Peter Harremoës with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Harremoës more than expected).
Fields of papers citing papers by Peter Harremoës
This network shows the impact of papers produced by Peter Harremoës. 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 Peter Harremoës. The network helps show where Peter Harremoës may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Harremoës, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2019 | 1 | |
| 5 | Extendable MDL | 2013 | 1 |
| 6 | 2010 | 27 | |
| 7 | Rényi Divergence and Its Properties | 2010 | 1 |
| 8 | 2010 | 1 | |
| 9 | Joint Range of Rényi Entropies | 2009 | 4 |
| 10 | 2009 | 36 | |
| 11 | 2009 | 10 | |
| 12 | 2008 | 5 | |
| 13 | 2007 | 1 | |
| 14 | 2006 | 1 | |
| 15 | 2004 | 15 | |
| 16 | 2003 | 5 | |
| 17 | 2003 | 92 | |
| 18 | 2002 | 2 | |
| 19 | 2001 | 85 | |
| 20 | Artificial neural networks and grey-box modelling: A comparison | 1999 | 5 |
About Peter Harremoës
Peter Harremoës is a scholar working on Statistical and Nonlinear Physics, Statistics and Probability, Applied Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (35 papers), Wireless Communication Security Techniques (10 papers), Computability, Logic, AI Algorithms (7 papers), Sparse and Compressive Sensing Techniques (7 papers), Advanced Statistical Methods and Models (7 papers), Complex Systems and Time Series Analysis (6 papers), Statistical Distribution Estimation and Applications (5 papers) and semigroups and automata theory (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (448 citations), Statistics and Probability (245 citations), Artificial Intelligence (688 citations), Applied Mathematics (108 citations) and Computational Mathematics (6 citations). Peter Harremoës has collaborated with scholars based in Denmark, Netherlands and Czechia. Frequent co-authors include Tim van Erven, Flemming Topsøe, Jop Briët, Naftali Tishby, Alexander Fedotov, Igor Vajda, Oliver Johnson, Ioannis Kontoyiannis, Lloyd Demetrius and Stéphane Legendre. Their work appears in journals such as IEEE Transactions on Information Theory, Publications, Physica A Statistical Mechanics and its Applications, Kybernetika and Journal of Theoretical 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.