Daniel Paulin

16 papers and 177 indexed citations i.

About

Daniel Paulin is a scholar working on Statistics and Probability, Mathematical Physics and Applied Mathematics. According to data from OpenAlex, Daniel Paulin has authored 16 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 6 papers in Mathematical Physics and 5 papers in Applied Mathematics. Recurrent topics in Daniel Paulin’s work include Markov Chains and Monte Carlo Methods (9 papers), Stochastic processes and statistical mechanics (5 papers) and Point processes and geometric inequalities (4 papers). Daniel Paulin is often cited by papers focused on Markov Chains and Monte Carlo Methods (9 papers), Stochastic processes and statistical mechanics (5 papers) and Point processes and geometric inequalities (4 papers). Daniel Paulin collaborates with scholars based in Singapore, United Kingdom and United States. Daniel Paulin's co-authors include Arnaud Doucet, Alexandre Bouchard‐Côté, George Deligiannidis, Lester Mackey, Ajay Jasra, Joel A. Tropp, Domokos Szász, Alexandros Beskos, Chris J. Maddison and Dan Crisan and has published in prestigious journals such as SIAM Journal on Numerical Analysis, Journal of Statistical Physics and Journal of Functional Analysis.

In The Last Decade

Co-authorship network of co-authors of Daniel Paulin i

Fields of papers citing papers by Daniel Paulin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel Paulin

Since Specialization
Citations

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).

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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