Nina Holden
- Mathematical Physics top 10%
- Statistics and Probability top 5%
- Condensed Matter Physics
- Geometry and Topology top 10%
- Statistical and Nonlinear Physics
- Co-authors
- Xin SunEwain GwynneHenry CohnChristian BorgsJennifer ChayesJason MillerAlex ZhaiYuval Peres
- Topics
- Stochastic processes and statistical mechanics (15 papers)Markov Chains and Monte Carlo Methods (10 papers)Geometry and complex manifolds (7 papers)
- Journals
- Proceedings of the National Academy of SciencesCommunications in Mathematical PhysicsCommunications on Pure and Applied Mathematics
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Nina Holden
24 papers receiving 144 citations
Peers
Comparison fields: 5 of 31
- Mathematical Physics 101
- Statistics and Probability 56
- Condensed Matter Physics 33
- Geometry and Topology 33
- Statistical and Nonlinear Physics 32
Countries citing papers authored by Nina Holden
This map shows the geographic impact of Nina Holden'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 Nina Holden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Holden more than expected).
Fields of papers citing papers by Nina Holden
This network shows the impact of papers produced by Nina Holden. 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 Nina Holden. The network helps show where Nina Holden may publish in the future.
Co-authorship network of co-authors of Nina Holden
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Holden. A scholar is included among the top collaborators of Nina Holden 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 Nina Holden. Nina Holden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 13 | |
| 15 | 10 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | Sparse exchangeable graphs and their limits via graphon processes | 19 |
| 19 | 13 | |
| 20 | Extending the Lin-Kernighan algorithm to improve solutions to VRPs with Time Windows | 0 |
About Nina Holden
Nina Holden is a scholar working on Mathematical Physics, Statistics and Probability and Geometry and Topology, having authored 27 papers that have together received 154 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (15 papers), Markov Chains and Monte Carlo Methods (10 papers) and Geometry and complex manifolds (7 papers). The work is most often cited by research in Mathematical Physics (101 citations), Statistics and Probability (56 citations) and Geometry and Topology (33 citations). Nina Holden has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Xin Sun, Ewain Gwynne, Henry Cohn, Christian Borgs, Jennifer Chayes, Jason Miller, Alex Zhai, Yuval Peres, Christophe Garban and Joakim Sundnes. Their work appears in journals such as Proceedings of the National Academy of Sciences, Communications in Mathematical Physics and Communications on Pure and Applied 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.