Michael H. Neumann

59 papers and 1.6k indexed citations i.

About

Michael H. Neumann is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Michael H. Neumann has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistics and Probability, 26 papers in Finance and 16 papers in Artificial Intelligence. Recurrent topics in Michael H. Neumann’s work include Statistical Methods and Inference (36 papers), Financial Risk and Volatility Modeling (21 papers) and Stochastic processes and financial applications (13 papers). Michael H. Neumann is often cited by papers focused on Statistical Methods and Inference (36 papers), Financial Risk and Volatility Modeling (21 papers) and Stochastic processes and financial applications (13 papers). Michael H. Neumann collaborates with scholars based in Germany, France and United Kingdom. Michael H. Neumann's co-authors include Rainer von Sachs, Paul Doukhan, Ola Hössjer, Jens‐Peter Kreiß, Markus Reiß, George Skiadopoulos, Rainer Dahlhaus, Jörg Polzehl, Efstathios Paparoditis and J. S. Marron and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Econometrics and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Michael H. Neumann i

Fields of papers citing papers by Michael H. Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael H. Neumann. 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 Michael H. Neumann. The network helps show where Michael H. Neumann may publish in the future.

Countries citing papers authored by Michael H. Neumann

Since Specialization
Citations

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