Peter E. Ney

6.7k citations
60 papers · 5.1k · 2 hit papers · h-index 23

Impact in

Papers in

Peter E. Ney

56 papers receiving 4.5k citations

Peter E. Ney's Hit Papers

Branching Processes 1972 · 1.3k citations
1.3k0+20+40Years since publication5001k1.5k

Peers

Peter E. Ney
Comparison fields: 5 of 128
  • Mathematical Physics 2.7k
  • Statistics and Probability 957
  • Management Science and Operations Research 582
  • Statistical and Nonlinear Physics 264
  • Modeling and Simulation 116
Replace A. T. Bharucha-Reid with:
A. T. Bharucha-Reid United States
Krishna Balasundaram Athreya United States
Frank Spitzer United States
Eugene B. Seneta Australia
PE United States
Bert E. Fristedt United States
Harry Kesten United States
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Srinivasa R. S. Varadhan United States
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Countries citing papers authored by Peter E. Ney

Since Specialization
Citations

This map shows the geographic impact of Peter E. 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 E. 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 E. Ney more than expected).

Fields of papers citing papers by Peter E. Ney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter E. 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 E. Ney. The network helps show where Peter E. Ney may publish in the future.

Co-authors

The 24 scholars most cited alongside Peter E. Ney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter E. Ney Line = papers co-authored together Peter E. Ney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Theory of Branching Processes
Hit paper breakdown →
19651890
2
Branching Processes
Hit paper breakdown →
19721275
3 1978294
4 1973198
5 1987129
6 1973111
7 196699
8 197292
9 198784
10 199084
11 197880
12 198570
13 196652
14 197652
15 198346
16 196244
17 196843
18 197242
19 198141
20 200341

About Peter E. Ney

Peter E. Ney is a scholar working on Mathematical Physics, Statistics and Probability, Management Science and Operations Research, Applied Mathematics and Management Information Systems, having authored 60 papers that have together received 5.1k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (49 papers), Probability and Statistical Research (30 papers), Mathematical Dynamics and Fractals (12 papers), Probability and Risk Models (5 papers), Markov Chains and Monte Carlo Methods (2 papers), Point processes and geometric inequalities (2 papers), Advanced Queuing Theory Analysis (1 paper) and Distributed Sensor Networks and Detection Algorithms (1 paper). The work is most often cited by research in Mathematical Physics (2.7k citations), Statistics and Probability (957 citations), Management Science and Operations Research (582 citations), Statistical and Nonlinear Physics (264 citations) and Modeling and Simulation (116 citations). Peter E. Ney has collaborated with scholars based in United States, Finland and India. Frequent co-authors include Theodore E. Harris, Krishna Balasundaram Athreya, Esa Nummelin, Joshua Chover, Stephen Wainger, Frank Spitzer, Harry Kesten, David R. McDonald, James Antonio Bucklew and John S. Sadowsky. Their work appears in journals such as The Annals of Probability, Advances in Applied Probability, Transactions of the American Mathematical Society, Probability Theory and Related Fields and Journal of Mathematical Analysis and Applications.

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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