PE

8.7k citations
25 papers · 5.8k · 2 hit papers · h-index 15

Impact in

Papers in

PE

24 papers receiving 5.4k citations

PE's Hit Papers

Probability and Measure. 1996 · 4.2k citations
4.2k0+10+20Years since publication10002.0k3.0k4.0k

Peers

PE
Comparison fields: 5 of 173
  • Statistics and Probability 1.1k
  • Mathematical Physics 915
  • Finance 809
  • Management Science and Operations Research 862
  • Statistical and Nonlinear Physics 617
Replace Peter Whittle with:
Peter Whittle United Kingdom
Paul Dupuis United States
A. N. Kolmogorov Russia
Б. Л. С. Пракаса Рао India
Bert Fristedt United States
A. T. Bharucha-Reid United States
D. J. Daley Australia
C. L. Mallows United States
R. M. Dudley United States
J. Gani United States
PE relative to Peter Whittle United Kingdom Peter Whittle's profile →
Citations per field
00.5×1.5×
Peter Whittle · 1×
Citations per year

Countries citing papers authored by PE

Since Specialization
Citations

This map shows the geographic impact of PE'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 PE with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites PE more than expected).

Fields of papers citing papers by PE

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside PE, 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 PE Line = papers co-authored together PE links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Probability and Measure.
Hit paper breakdown →
19964244
2
Aspects and Applications of the Random Walk.
Hit paper breakdown →
1995721
3 1995301
4 199489
5 199785
6 199682
7 199560
8 199751
9 197232
10 199828
11 197222
12 199521
13 199520
14 200017
15 199414
16 197213
17 199810
18 20009
19 19948
20 19985

About PE

PE is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Statistics and Probability, Management Information Systems and Geometry and Topology, having authored 25 papers that have together received 5.8k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper), Stochastic processes and financial applications (1 paper), Soil Carbon and Nitrogen Dynamics (1 paper), Markov Chains and Monte Carlo Methods (1 paper), Statistical Mechanics and Entropy (1 paper), Stochastic processes and statistical mechanics (1 paper) and Software Reliability and Analysis Research (1 paper). The work is most often cited by research in Statistics and Probability (1.1k citations), Mathematical Physics (915 citations), Finance (809 citations), Management Science and Operations Research (862 citations) and Statistical and Nonlinear Physics (617 citations). PE has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include George H. Weiss, Henk Tijms, Mark Freidlin, Vivek S. Borkar, J. David Mason, Zbigniew J. Jurek, Leonard Kleinrock, Gerald A. Edgar, F. P. Kelly and Gregory F. Lawler. Their work appears in journals such as Journal of the American Statistical Association, Soil Science Society of America Journal and Public Health.

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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