Nina Gantert

64 papers and 653 indexed citations i.

About

Nina Gantert is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics. According to data from OpenAlex, Nina Gantert has authored 64 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Mathematical Physics, 33 papers in Statistics and Probability and 29 papers in Condensed Matter Physics. Recurrent topics in Nina Gantert’s work include Stochastic processes and statistical mechanics (54 papers), Markov Chains and Monte Carlo Methods (30 papers) and Theoretical and Computational Physics (29 papers). Nina Gantert is often cited by papers focused on Stochastic processes and statistical mechanics (54 papers), Markov Chains and Monte Carlo Methods (30 papers) and Theoretical and Computational Physics (29 papers). Nina Gantert collaborates with scholars based in Germany, United States and France. Nina Gantert's co-authors include Ofer Zeitouni, Yuval Peres, Francis Comets, Zhan Shi, Serguei Popov, Noam Berger, Wolfgang König, Kavita Ramanan, Hans Föllmer and Amir Dembo and has published in prestigious journals such as Communications in Mathematical Physics, Communications on Pure and Applied Mathematics and Transactions of the American Mathematical Society.

In The Last Decade

Co-authorship network of co-authors of Nina Gantert i

Fields of papers citing papers by Nina Gantert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Nina Gantert

Since Specialization
Citations

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).

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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2025