Peter Ney
- Mathematical Physics top 0.1%
- Stochastic processes and statistical mechanics 35
- Mathematical Dynamics and Fractals 9
- advanced mathematical theories 5
- Statistics and Probability top 0.2%
- Markov Chains and Monte Carlo Methods 17
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- Probability and Risk Models 7
- Finance top 1%
- Stochastic processes and financial applications 4
- Condensed Matter Physics top 2%
- Theoretical and Computational Physics 13
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- Bayesian Methods and Mixture Models 7
- Co-authors
- T. E. HarrisKrishna B. AthreyaEsa NummelinJoshua ChoverStephen WaingerFrank SpitzerJ.A. BucklewJ.S. Sadowsky
- Journals
- The Annals of Probability (11 papers)Transactions of the American Mathematical Society (4 papers)Advances in Applied Probability (4 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Peter Ney
52 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Mathematical Physics 2.4k
- Statistics and Probability 1.3k
- Management Science and Operations Research 978
- Finance 671
- Condensed Matter Physics 606
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | DECOMPOSABLE CRITICAL MULTI-TYPE BRANCHING PROCESSES* | 2016 | 6 |
| 2 | 2011 | 3 | |
| 3 | Notes on Dominating Points and Large Deviations | 1999 | 0 |
| 4 | 1987 | 82 | |
| 5 | 1985 | 72 | |
| 6 | 1981 | 35 | |
| 7 | 1981 | 6 | |
| 8 | 1978 | 266 | |
| 9 | 1978 | 11 | |
| 10 | 1974 | 4 | |
| 11 | 1974 | 12 | |
| 12 | Branching Processesbreakdown → | 1972 | 1046 |
| 13 | 1970 | 3 | |
| 14 | 1970 | 15 | |
| 15 | 1968 | 15 | |
| 16 | 1966 | 41 | |
| 17 | 1965 | 17 | |
| 18 | 1965 | 8 | |
| 19 | The Theory of Branching Processesbreakdown → | 1965 | 1725 |
| 20 | 1962 | 47 |
About Peter Ney
Peter Ney is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Management Science and Operations Research and Finance, having authored 58 papers that have together received 4.5k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (35 papers), Markov Chains and Monte Carlo Methods (17 papers), Theoretical and Computational Physics (13 papers), Mathematical Dynamics and Fractals (9 papers), Bayesian Methods and Mixture Models (7 papers), Probability and Risk Models (7 papers), advanced mathematical theories (5 papers) and Stochastic processes and financial applications (4 papers). The work is most often cited by research in Mathematical Physics (2.4k citations), Statistics and Probability (1.3k citations), Management Science and Operations Research (978 citations), Finance (671 citations) and Condensed Matter Physics (606 citations). Peter Ney has collaborated with scholars based in United States, India and Canada. Frequent co-authors include T. E. Harris, Krishna B. Athreya, Esa Nummelin, Joshua Chover, Stephen Wainger, Frank Spitzer, J.A. Bucklew, J.S. Sadowsky, Harry Kesten and David McDonald. 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.