Nicolai Haydn
- Mathematical Physics top 2%
- Statistical and Nonlinear Physics top 5%
- Geometry and Topology top 10%
- Computational Theory and Mathematics top 10%
- Economics and Econometrics
- Co-authors
- Sandro VaientiYves LacroixEugène GutkinDavid RuelleMatthew NicolGiampaolo CristadoroStefano IsolaLuca Rossi
- Topics
- Mathematical Dynamics and Fractals (29 papers)Stochastic processes and statistical mechanics (13 papers)Quantum chaos and dynamical systems (10 papers)
- Journals
- Communications in Mathematical PhysicsTransactions of the American Mathematical SocietyJournal of Statistical Physics
- Partner nations
- United StatesFranceItaly
In The Last Decade
Nicolai Haydn
31 papers receiving 378 citations
Peers
Comparison fields: 5 of 43
- Mathematical Physics 361
- Statistical and Nonlinear Physics 202
- Geometry and Topology 65
- Computational Theory and Mathematics 51
- Economics and Econometrics 46
Countries citing papers authored by Nicolai Haydn
This map shows the geographic impact of Nicolai Haydn'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 Nicolai Haydn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolai Haydn more than expected).
Fields of papers citing papers by Nicolai Haydn
This network shows the impact of papers produced by Nicolai Haydn. 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 Nicolai Haydn. The network helps show where Nicolai Haydn may publish in the future.
Co-authorship network of co-authors of Nicolai Haydn
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolai Haydn. A scholar is included among the top collaborators of Nicolai Haydn 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 Nicolai Haydn. Nicolai Haydn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 32 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 25 | |
| 15 | 19 | |
| 16 | 2 | |
| 17 | 34 | |
| 18 | 9 | |
| 19 | 7 | |
| 20 | 6 |
About Nicolai Haydn
Nicolai Haydn is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Geometry and Topology, having authored 32 papers that have together received 410 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (29 papers), Stochastic processes and statistical mechanics (13 papers) and Quantum chaos and dynamical systems (10 papers). The work is most often cited by research in Mathematical Physics (361 citations), Statistical and Nonlinear Physics (202 citations) and Geometry and Topology (65 citations). Nicolai Haydn has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Sandro Vaienti, Yves Lacroix, Eugène Gutkin, David Ruelle, Matthew Nicol, Giampaolo Cristadoro, Stefano Isola, Luca Rossi, Eugenio Lunedei and G. Turchetti. Their work appears in journals such as Communications in Mathematical Physics, Transactions of the American Mathematical Society and Journal of Statistical Physics.
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.