Thomas Nagler

24 papers and 397 indexed citations i.

About

Thomas Nagler is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Thomas Nagler has authored 24 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 12 papers in Finance and 9 papers in Artificial Intelligence. Recurrent topics in Thomas Nagler’s work include Financial Risk and Volatility Modeling (12 papers), Statistical Methods and Inference (8 papers) and Market Dynamics and Volatility (5 papers). Thomas Nagler is often cited by papers focused on Financial Risk and Volatility Modeling (12 papers), Statistical Methods and Inference (8 papers) and Market Dynamics and Volatility (5 papers). Thomas Nagler collaborates with scholars based in Germany, The Netherlands and United States. Thomas Nagler's co-authors include Claudia Czado, Robert McCall, W. Jäger, Aleksey Min, David E. Meyer, Julián Urbano, Anders Løland, Kjersti Aas, Martin Jullum and Sandra Paterlini and has published in prestigious journals such as Journal of the American Statistical Association, Astronomy and Astrophysics and Journal of Econometrics.

In The Last Decade

Co-authorship network of co-authors of Thomas Nagler i

Fields of papers citing papers by Thomas Nagler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Nagler. 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 Thomas Nagler. The network helps show where Thomas Nagler may publish in the future.

Countries citing papers authored by Thomas Nagler

Since Specialization
Citations

This map shows the geographic impact of Thomas Nagler'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 Thomas Nagler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Nagler 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