Nina Gantert
- Mathematical Physics top 2%
- Statistics and Probability top 2%
- Condensed Matter Physics top 5%
- Finance top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Ofer ZeitouniYuval PeresFrancis CometsNoam BergerZhan ShiWolfgang KönigHans FöllmerAmir Dembo
- Topics
- Stochastic processes and statistical mechanics (44 papers)Markov Chains and Monte Carlo Methods (26 papers)Theoretical and Computational Physics (20 papers)
- Journals
- Communications in Mathematical PhysicsCommunications on Pure and Applied MathematicsTransactions of the American Mathematical Society
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Nina Gantert
47 papers receiving 442 citations
Peers
Comparison fields: 5 of 42
- Mathematical Physics 409
- Statistics and Probability 229
- Condensed Matter Physics 206
- Finance 84
- Management Science and Operations Research 78
Countries citing papers authored by Nina Gantert
This map shows the geographic impact of Nina Gantert'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 Gantert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Gantert more than expected).
Fields of papers citing papers by Nina Gantert
This network shows the impact of papers produced by Nina Gantert. 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 Gantert. The network helps show where Nina Gantert may publish in the future.
Co-authorship network of co-authors of Nina Gantert
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Gantert. A scholar is included among the top collaborators of Nina Gantert 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 Gantert. Nina Gantert 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 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | Recurrence and Transience of Frogs with Drift on Z^d | 3 |
| 8 | 1 | |
| 9 | COLLISIONS OF SEVERAL WALKERS IN RECURRENT RANDOM ENVIRONMENTS | 2 |
| 10 | A Conditional Quenched CLT for Random Walks Among Random Conductances on Z(d) | 0 |
| 11 | Directed random walk on an oriented percolation cluster | 2 |
| 12 | 6 | |
| 13 | 8 | |
| 14 | Trap models with vanishing drift: Scaling limits and ageing regimes | 3 |
| 15 | 1 | |
| 16 | 16 | |
| 17 | 11 | |
| 18 | 27 | |
| 19 | 16 | |
| 20 | 5 |
About Nina Gantert
Nina Gantert is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics, having authored 55 papers that have together received 483 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (44 papers), Markov Chains and Monte Carlo Methods (26 papers) and Theoretical and Computational Physics (20 papers). The work is most often cited by research in Mathematical Physics (409 citations), Statistics and Probability (229 citations) and Condensed Matter Physics (206 citations). Nina Gantert has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Ofer Zeitouni, Yuval Peres, Francis Comets, Noam Berger, Zhan Shi, Wolfgang König, Hans Föllmer, Amir Dembo, Serguei Popov and Shi Zhan. Their work appears in journals such as Communications in Mathematical Physics, Communications on Pure and Applied Mathematics and Transactions of the American Mathematical Society.
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.