Kasper K. Berthelsen
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods 4
- Statistical Methods and Bayesian Inference 1
- Applied Mathematics top 10%
- Point processes and geometric inequalities 4
- Artificial Intelligence top 10%
- Bayesian Methods and Mixture Models 2
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- Stochastic processes and statistical mechanics 3
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- Economic and Environmental Valuation 1
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- Vehicle Dynamics and Control Systems 1
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- Machine Learning in Materials Science 1
- Co-authors
- Jesper MöllerA. N. PettittR. ReevesHarry LahrmannNiels AgerholmLisbeth HarmsBirgitte Bak‐JensenPeiyuan Chen
- Partner nations
- DenmarkUnited KingdomBelgium
In The Last Decade
Kasper K. Berthelsen
12 papers receiving 350 citations
Peers
Comparison fields: 5 of 89
- Statistics and Probability 132
- Safety, Risk, Reliability and Quality 56
- Applied Mathematics 56
- Artificial Intelligence 121
- Transportation 22
Countries citing papers authored by Kasper K. Berthelsen
This map shows the geographic impact of Kasper K. Berthelsen'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 Kasper K. Berthelsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kasper K. Berthelsen more than expected).
Fields of papers citing papers by Kasper K. Berthelsen
This network shows the impact of papers produced by Kasper K. Berthelsen. 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 Kasper K. Berthelsen. The network helps show where Kasper K. Berthelsen may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Kasper K. Berthelsen, 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 | Intelligent Speed Adaptation for involuntary drivers: Final results | 2012 | 2 |
| 2 | 2012 | 12 | |
| 3 | 2012 | 4 | |
| 4 | 2011 | 51 | |
| 5 | 2011 | 12 | |
| 6 | 2010 | 1 | |
| 7 | 2009 | 24 | |
| 8 | 2008 | 9 | |
| 9 | 2006 | 207 | |
| 10 | A Bayesian MCMC method for point process models with intractable normalising constants | 2004 | 1 |
| 11 | 2003 | 17 | |
| 12 | 2002 | 28 | |
| 13 | Perfect simulation and inference for spatial point processes | 2001 | 2 |
About Kasper K. Berthelsen
Kasper K. Berthelsen is a scholar working on Statistics and Probability, Applied Mathematics and Mathematical Physics, having authored 13 papers that have together received 370 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (4 papers), Markov Chains and Monte Carlo Methods (4 papers), Stochastic processes and statistical mechanics (3 papers), Bayesian Methods and Mixture Models (2 papers), Statistical Methods and Bayesian Inference (1 paper), Economic and Environmental Valuation (1 paper), Vehicle Dynamics and Control Systems (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Statistics and Probability (132 citations), Safety, Risk, Reliability and Quality (56 citations) and Applied Mathematics (56 citations). Kasper K. Berthelsen has collaborated with scholars based in Denmark, United Kingdom and Belgium. Frequent co-authors include Jesper Möller, A. N. Pettitt, R. Reeves, Harry Lahrmann, Niels Agerholm, Lisbeth Harms, Birgitte Bak‐Jensen, Peiyuan Chen, Zhe Chen and Thomas Garm Pedersen. Their work appears in journals such as Physical Review B, Biometrika and Renewable Energy.
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.