Enno Mammen

147 papers and 5.5k indexed citations i.

About

Enno Mammen is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Enno Mammen has authored 147 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Statistics and Probability, 34 papers in Finance and 30 papers in Artificial Intelligence. Recurrent topics in Enno Mammen’s work include Statistical Methods and Inference (95 papers), Financial Risk and Volatility Modeling (32 papers) and Statistical Methods and Bayesian Inference (31 papers). Enno Mammen is often cited by papers focused on Statistical Methods and Inference (95 papers), Financial Risk and Volatility Modeling (32 papers) and Statistical Methods and Bayesian Inference (31 papers). Enno Mammen collaborates with scholars based in Germany, United States and United Kingdom. Enno Mammen's co-authors include Wolfgang Karl Härdle, Byeong U. Park, Sara van de Geer, Jens Perch Nielsen, Oliver Linton, Alexandre B. Tsybakov, Joël L. Horowitz, J. S. Marron, Oleg Lepski and Stefan Hoderlein and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and The Review of Economics and Statistics.

In The Last Decade

Co-authorship network of co-authors of Enno Mammen i

Fields of papers citing papers by Enno Mammen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Enno Mammen

Since Specialization
Citations

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