Ralph Neininger

45 papers and 621 indexed citations i.

About

Ralph Neininger is a scholar working on Mathematical Physics, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ralph Neininger has authored 45 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mathematical Physics, 23 papers in Artificial Intelligence and 17 papers in Signal Processing. Recurrent topics in Ralph Neininger’s work include Stochastic processes and statistical mechanics (26 papers), Data Management and Algorithms (17 papers) and Bayesian Methods and Mixture Models (14 papers). Ralph Neininger is often cited by papers focused on Stochastic processes and statistical mechanics (26 papers), Data Management and Algorithms (17 papers) and Bayesian Methods and Mixture Models (14 papers). Ralph Neininger collaborates with scholars based in Germany, Canada and Taiwan. Ralph Neininger's co-authors include Ludger Rüschendorf, Hsien‐Kuei Hwang, Luc Devroye, Svante Janson, Michael Fuchs, Hosam M. Mahmoud, Michael Drmota, Amke Caliebe, Michael Krawczak and Uwe Rösler and has published in prestigious journals such as SIAM Journal on Computing, Theoretical Population Biology and The Annals of Probability.

In The Last Decade

Co-authorship network of co-authors of Ralph Neininger i

Fields of papers citing papers by Ralph Neininger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ralph Neininger

Since Specialization
Citations

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