Yvik Swan
- Statistics and Probability top 5%
- Mathematical Physics top 10%
- Applied Mathematics top 10%
- Finance
- Artificial Intelligence
- Co-authors
- Christophe LeyGiovanni PeccatiIvan NourdinRobert E. GauntErol A. PeközGesine ReinertIan W. McKeagueF. Thomas Bruss
- Topics
- Random Matrices and Applications (18 papers)Stochastic processes and statistical mechanics (5 papers)Statistical Mechanics and Entropy (4 papers)
- Journals
- IEEE Transactions on Information TheoryJournal of Mathematical Analysis and ApplicationsJournal of Functional Analysis
- Partner nations
- BelgiumFranceUnited Kingdom
In The Last Decade
Yvik Swan
25 papers receiving 172 citations
Peers
Comparison fields: 5 of 41
- Statistics and Probability 130
- Mathematical Physics 62
- Applied Mathematics 48
- Finance 33
- Artificial Intelligence 33
Countries citing papers authored by Yvik Swan
This map shows the geographic impact of Yvik Swan'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 Yvik Swan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yvik Swan more than expected).
Fields of papers citing papers by Yvik Swan
This network shows the impact of papers produced by Yvik Swan. 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 Yvik Swan. The network helps show where Yvik Swan may publish in the future.
Co-authorship network of co-authors of Yvik Swan
This figure shows the co-authorship network connecting the top 25 collaborators of Yvik Swan. A scholar is included among the top collaborators of Yvik Swan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yvik Swan. Yvik Swan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | Stein's Method Meets Statistics: A Review of Some Recent Developments | 3 |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 7 | |
| 8 | Stein's method, many interacting worlds and quantum mechanics | 1 |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 34 | |
| 17 | 32 | |
| 18 | A new perspective on Stein's density approach with applications to information inequalities | 1 |
| 19 | 1 | |
| 20 | 5 |
About Yvik Swan
Yvik Swan is a scholar working on Statistics and Probability, Discrete Mathematics and Combinatorics and Applied Mathematics, having authored 25 papers that have together received 188 indexed citations. Recurring topics across this work include Random Matrices and Applications (18 papers), Stochastic processes and statistical mechanics (5 papers) and Statistical Mechanics and Entropy (4 papers). The work is most often cited by research in Statistics and Probability (130 citations), Discrete Mathematics and Combinatorics (24 citations) and Mathematical Physics (62 citations). Yvik Swan has collaborated with scholars based in Belgium, France and United Kingdom. Frequent co-authors include Christophe Ley, Giovanni Peccati, Ivan Nourdin, Robert E. Gaunt, Erol A. Peköz, Gesine Reinert, Ian W. McKeague, F. Thomas Bruss, Mitia Duerinckx and Guillaume Poly. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of Mathematical Analysis and Applications and Journal of Functional Analysis.
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.