Daniel Paulin
Impact in
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
- Random Matrices and Applications
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- Stochastic processes and statistical mechanics
Papers in
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- Markov Chains and Monte Carlo Methods 7
- Statistical Methods and Inference 3
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- Stochastic processes and statistical mechanics 5
- Co-authors
- Alexandre Bouchard‐Côté (1 shared paper)Arnaud Doucet (1 shared paper)George Deligiannidis (1 shared paper)Lester Mackey (1 shared paper)Joel A. Tropp (1 shared paper)Benedict Leimkuhler (3 shared papers)Benjamin M. Gyori (1 shared paper)Dan Crisan (2 shared papers)
- Journals
- Statistics and Computing (3 papers)Electronic Journal of Probability (2 papers)The Annals of Probability (1 paper)ESAIM. Mathematical modelling and numerical analysis (1 paper)Foundations of Computational Mathematics (1 paper)
- Partner nations
- SingaporeUnited KingdomUnited States
In The Last Decade
Daniel Paulin
12 papers receiving 131 citations
Peers
Comparison fields: 5 of 39
- Statistics and Probability 82
- Mathematical Physics 23
- Applied Mathematics 19
- Statistical and Nonlinear Physics 21
- Computational Mathematics 1
Countries citing papers authored by Daniel Paulin
This map shows the geographic impact of Daniel Paulin'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 Daniel Paulin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Paulin more than expected).
Fields of papers citing papers by Daniel Paulin
This network shows the impact of papers produced by Daniel Paulin. 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 Daniel Paulin. The network helps show where Daniel Paulin may publish in the future.
Co-authors
The 11 scholars most cited alongside Daniel Paulin, 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 | 2015 | 76 | |
| 2 | 2021 | 20 | |
| 3 | 2016 | 9 | |
| 4 | Concentration inequalities for Markov chains by Marton couplings | 2012 | 7 |
| 5 | 2014 | 7 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2010 | 2 | |
| 9 | 2022 | 2 | |
| 10 | 2018 | 2 | |
| 11 | 2015 | 2 | |
| 12 | 2023 | 1 |
About Daniel Paulin
Daniel Paulin is a scholar working on Statistics and Probability, Mathematical Physics, Applied Mathematics, Molecular Biology and Artificial Intelligence, having authored 12 papers that have together received 133 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (7 papers), Stochastic processes and statistical mechanics (5 papers), Point processes and geometric inequalities (3 papers), Diffusion and Search Dynamics (3 papers), Statistical Methods and Inference (3 papers), Bayesian Methods and Mixture Models (2 papers), Meteorological Phenomena and Simulations (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Statistics and Probability (82 citations), Mathematical Physics (23 citations), Applied Mathematics (19 citations), Statistical and Nonlinear Physics (21 citations) and Computational Mathematics (1 citation). Daniel Paulin has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Alexandre Bouchard‐Côté, Arnaud Doucet, George Deligiannidis, Lester Mackey, Joel A. Tropp, Benedict Leimkuhler, Benjamin M. Gyori, Dan Crisan, Domokos Szász and Ajay Jasra. Their work appears in journals such as Statistics and Computing, Electronic Journal of Probability, The Annals of Probability, ESAIM. Mathematical modelling and numerical analysis and Foundations of Computational Mathematics.
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.