Gordon Simons

2.1k citations
65 papers · 1.2k · h-index 14

Impact in

Papers in

Gordon Simons

59 papers receiving 1.1k citations

Peers

Gordon Simons
Comparison fields: 5 of 99
  • Statistics and Probability 606
  • Statistics, Probability and Uncertainty 199
  • Management Science and Operations Research 347
  • Finance 274
  • Mathematical Physics 102
Replace J. P. Imhof with:
J. P. Imhof Switzerland
Miguel A. Arcones United States
Ching-Zong Wei United States
D. N. Shanbhag United Kingdom
Josef Steinebach Germany
Jayaram Sethuraman United States
A. Dvoretzky Israel
Stamatis Cambanis United States
Harro Walk Germany
D. L. McLeish Canada
Gordon Simons relative to J. P. Imhof Switzerland J. P. Imhof's profile →
Citations per field
00.5×2.7×
J. P. Imhof · 1×
Citations per year

Countries citing papers authored by Gordon Simons

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Simons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gordon Simons, 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 Gordon Simons Line = papers co-authored together Gordon Simons links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981449
2 1976138
3 197392
4 196761
5 198354
6 196853
7 199942
8 196729
9 197023
10 197621
11 197117
12 198216
13 197815
14 199813
15 197312
16 197812
17 199011
18 199110
19 200410
20 19969

About Gordon Simons

Gordon Simons is a scholar working on Statistics and Probability, Management Science and Operations Research, Mathematical Physics, Artificial Intelligence and Finance, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Probability and Risk Models (10 papers), Stochastic processes and statistical mechanics (9 papers), Advanced Statistical Process Monitoring (8 papers), Stochastic processes and financial applications (7 papers), Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (7 papers), Statistical Methods in Clinical Trials (7 papers) and Statistical Distribution Estimation and Applications (5 papers). The work is most often cited by research in Statistics and Probability (606 citations), Statistics, Probability and Uncertainty (199 citations), Management Science and Operations Research (347 citations), Finance (274 citations) and Mathematical Physics (102 citations). Gordon Simons has collaborated with scholars based in United States, Hungary and Taiwan. Frequent co-authors include Stamatis Cambanis, Steel T. Huang, William Stout, Yi‐Ching Yao, Herbert Robbins, David Siegmund, Robert W. Keener, Bennett Eisenberg, Wassily Hoeffding and Sándor Csörgő. Their work appears in journals such as The Annals of Statistics, Advances in Applied Probability, The Annals of Probability, The American Statistician and The Annals of Applied Probability.

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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