Peter Ney

7.0k total citations · 2 hit papers
58 papers, 4.5k citations indexed

About

Peter Ney is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics. According to data from OpenAlex, Peter Ney has authored 58 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Mathematical Physics, 20 papers in Statistics and Probability and 13 papers in Condensed Matter Physics. Recurrent topics in Peter Ney's work include Stochastic processes and statistical mechanics (35 papers), Markov Chains and Monte Carlo Methods (17 papers) and Theoretical and Computational Physics (13 papers). Peter Ney is often cited by papers focused on Stochastic processes and statistical mechanics (35 papers), Markov Chains and Monte Carlo Methods (17 papers) and Theoretical and Computational Physics (13 papers). Peter Ney collaborates with scholars based in United States, India and Canada. Peter Ney's 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 and has published in prestigious journals such as Technometrics, The Annals of Statistics and Journal of Mathematical Analysis and Applications.

In The Last Decade

Peter Ney

52 papers receiving 3.9k citations

Hit Papers

The Theory of Branching Processes 1965 2026 1985 2005 1965 1972 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Theory of Branching Processes
    1965 1.7k citations Peter Ney et al. profile →
  2. Branching Processes
    1972 1.0k citations Krishna B. Athreya, Peter Ney CERN Document Server (European Organization for Nuclear Research) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Ney United States 20 2.4k 1.3k 978 723 671 58 4.5k
Krishna B. Athreya United States 26 2.1k 0.9× 1.5k 1.1× 699 0.7× 728 1.0× 653 1.0× 135 3.7k
T. E. Harris United States 22 2.9k 1.2× 1.2k 0.9× 598 0.6× 621 0.9× 453 0.7× 36 6.5k
S. N. Ethier United States 18 2.7k 1.1× 1.3k 1.0× 736 0.8× 633 0.9× 1.7k 2.6× 70 6.1k
Kai Lai Chung United States 25 2.3k 0.9× 1.4k 1.1× 995 1.0× 904 1.3× 1.3k 1.9× 92 6.4k
Frank Spitzer United States 26 2.6k 1.1× 1.2k 0.9× 597 0.6× 481 0.7× 580 0.9× 57 4.4k
E. Seneta Australia 39 2.7k 1.1× 2.3k 1.8× 1.4k 1.4× 1.3k 1.7× 2.1k 3.2× 291 9.3k
A. T. Bharucha-Reid United States 13 850 0.3× 867 0.7× 569 0.6× 790 1.1× 418 0.6× 46 5.5k
David Aldous United States 46 3.4k 1.4× 2.3k 1.7× 558 0.6× 1.5k 2.1× 841 1.3× 181 8.8k
J. L. Doob United States 19 3.0k 1.2× 1.9k 1.5× 1.2k 1.2× 1.3k 1.8× 2.2k 3.2× 48 9.8k
Richard Durrett United States 40 2.4k 1.0× 1.3k 1.0× 597 0.6× 673 0.9× 659 1.0× 111 7.4k

Countries citing papers authored by Peter Ney

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Peter Ney

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Ney. A scholar is included among the top collaborators of Peter Ney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Ney. Peter Ney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Foster, James H. & Peter Ney. (2016). DECOMPOSABLE CRITICAL MULTI-TYPE BRANCHING PROCESSES*. 6 indexed citations
2.
Athreya, Krishna B. & Peter Ney. (2011). T. E. Harris and branching processes. The Annals of Probability. 39(2). 3 indexed citations
3.
Ney, Peter. (1999). Notes on Dominating Points and Large Deviations. 4(1). 79–91.
4.
Ney, Peter & Esa Nummelin. (1993). Regeneration for chains with infinite memory. Probability Theory and Related Fields. 96(4). 503–520. 1 indexed citations
5.
Ney, Peter, et al.. (1991). Asymptotically Optimal Hypothesis Testing with Memory Constraints. The Annals of Statistics. 19(2). 1 indexed citations
6.
Bucklew, J.A., Peter Ney, & J.S. Sadowsky. (1990). Monte Carlo simulation and large deviations theory for uniformly recurrent Markov chains. Journal of Applied Probability. 27(1). 44–59. 83 indexed citations
7.
Bucklew, J.A., Peter Ney, & J.S. Sadowsky. (1990). Monte Carlo simulation and large deviations theory for uniformly recurrent Markov chains. Journal of Applied Probability. 27(1). 44–59. 14 indexed citations
8.
Iscoe, Ian, Peter Ney, & Esa Nummelin. (1985). Large deviations of uniformly recurrent Markov additive processes. Advances in Applied Mathematics. 6(4). 373–412. 72 indexed citations
9.
Boland, Wilhelm, et al.. (1981). ChemInform Abstract: “ONE‐POT” CONVERSION OF CARBOXYLIC ACID ESTERS AND LACTONES TO OLEFINIC COMPOUNDS. Chemischer Informationsdienst. 12(15). 6 indexed citations
10.
Ney, Peter. (1981). A refinement of the coupling method in renewal theory. Stochastic Processes and their Applications. 11(1). 11–26. 35 indexed citations
11.
Athreya, Krishna B. & Peter Ney. (1978). A new approach to the limit theory of recurrent Markov chains. Transactions of the American Mathematical Society. 245(0). 493–501. 266 indexed citations
12.
Athreya, Krishna B. & Peter Ney. (1974). Functionals of Critical Multitype Branching Processes. The Annals of Probability. 2(2). 12 indexed citations
13.
Ney, Peter. (1974). Age-dependent branching processes. Advances in Applied Probability. 6(2). 200–202. 4 indexed citations
14.
Chover, Joshua, Peter Ney, & Stephen Wainger. (1973). Functions of probability measures. Journal d Analyse Mathématique. 26(1). 255–302. 193 indexed citations
15.
Athreya, Krishna B. & Peter Ney. (1972). Branching Processes. CERN Document Server (European Organization for Nuclear Research). 1046 indexed citations breakdown →
16.
Athreya, Krishna B. & Peter Ney. (1970). The local limit theorem and some related aspects of super-critical branching processes. Transactions of the American Mathematical Society. 152(1). 233–251. 15 indexed citations
17.
Athreya, Krishna B. & Peter Ney. (1970). The Local Limit Theorem and Some Related Aspects of Super-Critical Branching Processes. Transactions of the American Mathematical Society. 152(1). 233–233. 3 indexed citations
18.
Chover, Joshua & Peter Ney. (1968). The non-linear renewal equation. Journal d Analyse Mathématique. 21(1). 381–413. 15 indexed citations
19.
Ney, Peter & Frank Spitzer. (1966). The Martin boundary for random walk. Transactions of the American Mathematical Society. 121(1). 116–132. 41 indexed citations
20.
Ney, Peter. (1965). The convergence of a random distribution function associated with a branching process. Journal of Mathematical Analysis and Applications. 12(2). 316–327. 17 indexed citations

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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