Ralph Neininger
Impact in
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
Papers in
-
- Stochastic processes and statistical mechanics 26
- Mathematical Dynamics and Fractals 10
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- Algorithms and Data Compression 16
- Bayesian Methods and Mixture Models 12
- Co-authors
- Ludger Rüschendorf (5 shared papers)Hsien‐Kuei Hwang (3 shared papers)Luc Devroye (6 shared papers)Svante Janson (2 shared papers)Michael Fuchs (3 shared papers)Hosam M. Mahmoud (1 shared paper)Michael Drmota (1 shared paper)Uwe Rösler (1 shared paper)
In The Last Decade
Ralph Neininger
45 papers receiving 551 citations
Peers
Comparison fields: 5 of 53
- Mathematical Physics 395
- Discrete Mathematics and Combinatorics 62
- Statistics and Probability 150
- Signal Processing 142
- Geometry and Topology 90
Countries citing papers authored by Ralph Neininger
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).
Fields of papers citing papers by Ralph Neininger
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.
Co-authors
The 21 scholars most cited alongside Ralph Neininger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 94 | |
| 2 | 2002 | 60 | |
| 3 | 2001 | 44 | |
| 4 | 2002 | 41 | |
| 5 | 2006 | 37 | |
| 6 | 2004 | 28 | |
| 7 | 2003 | 26 | |
| 8 | 2014 | 25 | |
| 9 | 2007 | 23 | |
| 10 | 1999 | 21 | |
| 11 | 2008 | 21 | |
| 12 | 2002 | 19 | |
| 13 | 2004 | 17 | |
| 14 | 2014 | 13 | |
| 15 | 2005 | 13 | |
| 16 | 2000 | 13 | |
| 17 | 2002 | 12 | |
| 18 | 2006 | 11 | |
| 19 | 2007 | 11 | |
| 20 | 2001 | 10 |
About Ralph Neininger
Ralph Neininger is a scholar working on Mathematical Physics, Artificial Intelligence, Signal Processing, Computational Theory and Mathematics and Statistics and Probability, having authored 48 papers that have together received 638 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (26 papers), Data Management and Algorithms (20 papers), Algorithms and Data Compression (16 papers), Bayesian Methods and Mixture Models (12 papers), Mathematical Dynamics and Fractals (10 papers), Markov Chains and Monte Carlo Methods (6 papers), semigroups and automata theory (4 papers) and Graph theory and applications (3 papers). The work is most often cited by research in Mathematical Physics (395 citations), Discrete Mathematics and Combinatorics (62 citations), Statistics and Probability (150 citations), Signal Processing (142 citations) and Geometry and Topology (90 citations). Ralph Neininger has collaborated with scholars based in Germany, Canada and Taiwan. Frequent co-authors include Ludger Rüschendorf, Hsien‐Kuei Hwang, Luc Devroye, Svante Janson, Michael Fuchs, Hosam M. Mahmoud, Michael Drmota, Uwe Rösler, Amke Caliebe and Michael Krawczak. Their work appears in journals such as Random Structures and Algorithms, The Annals of Applied Probability, Discrete Mathematics & Theoretical Computer Science, SIAM Journal on Computing and Advances in Applied Probability.
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.