Peter Ney
Impact in
- Mathematical Physics top 0.1%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- Statistics and Probability top 0.2%
- Markov Chains and Monte Carlo Methods
Papers in
-
- Stochastic processes and statistical mechanics 40
- Mathematical Dynamics and Fractals 10
- advanced mathematical theories 5
-
- Markov Chains and Monte Carlo Methods 21
- Co-authors
- T. E. Harris (1 shared paper)Krishna B. Athreya (16 shared papers)Esa Nummelin (6 shared papers)Joshua Chover (3 shared papers)Stephen Wainger (3 shared papers)Frank Spitzer (3 shared papers)David McDonald (2 shared papers)Harry Kesten (2 shared papers)
- Journals
- The Annals of Probability (11 papers)Transactions of the American Mathematical Society (4 papers)Advances in Applied Probability (4 papers)The Annals of Applied Probability (3 papers)Probability Theory and Related Fields (3 papers)
- Partner nations
- United StatesFinlandJapan
In The Last Decade
Peter Ney
61 papers receiving 4.4k citations
Peter Ney's Hit Papers
Peers
Comparison fields: 5 of 154
- Mathematical Physics 2.8k
- Statistics and Probability 1.5k
- Management Science and Operations Research 1.1k
- Finance 755
- Condensed Matter Physics 687
Countries citing papers authored by Peter Ney
This map shows the geographic impact of Peter Ney'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 Peter Ney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ney more than expected).
Fields of papers citing papers by Peter Ney
This network shows the impact of papers produced by Peter Ney. 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 Peter Ney. The network helps show where Peter Ney may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Ney, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Theory of Branching Processes Hit paper breakdown → | 1965 | 1911 |
| 2 | Branching Processes Hit paper breakdown → | 1972 | 1176 |
| 3 | 1978 | 300 | |
| 4 | 1973 | 206 | |
| 5 | 1987 | 129 | |
| 6 | 1973 | 118 | |
| 7 | 1972 | 102 | |
| 8 | 1966 | 101 | |
| 9 | 1987 | 89 | |
| 10 | 1990 | 86 | |
| 11 | 1978 | 85 | |
| 12 | 1985 | 76 | |
| 13 | 1976 | 50 | |
| 14 | 1962 | 49 | |
| 15 | 1966 | 48 | |
| 16 | 1968 | 44 | |
| 17 | 1983 | 43 | |
| 18 | 1981 | 41 | |
| 19 | 2003 | 40 | |
| 20 | 1998 | 26 |
About Peter Ney
Peter Ney is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Artificial Intelligence and Management Science and Operations Research, having authored 69 papers that have together received 5.1k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (40 papers), Markov Chains and Monte Carlo Methods (21 papers), Theoretical and Computational Physics (14 papers), Mathematical Dynamics and Fractals (10 papers), Probability and Risk Models (7 papers), Bayesian Methods and Mixture Models (7 papers), Stochastic processes and financial applications (5 papers) and advanced mathematical theories (5 papers). The work is most often cited by research in Mathematical Physics (2.8k citations), Statistics and Probability (1.5k citations), Management Science and Operations Research (1.1k citations), Finance (755 citations) and Condensed Matter Physics (687 citations). Peter Ney has collaborated with scholars based in United States, Finland and Japan. Frequent co-authors include T. E. Harris, Krishna B. Athreya, Esa Nummelin, Joshua Chover, Stephen Wainger, Frank Spitzer, David McDonald, Harry Kesten, J.S. Sadowsky and J.A. Bucklew. Their work appears in journals such as The Annals of Probability, Transactions of the American Mathematical Society, Advances in Applied Probability, The Annals of Applied Probability and Probability Theory and Related Fields.
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.