Robert E. Gaunt

941 citations
53 papers · 345 · h-index 10

Impact in

    • Random Matrices and Applications
    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Inference
    • Stochastic processes and statistical mechanics

Papers in

    • Random Matrices and Applications 16
    • Statistical Distribution Estimation and Applications 12
    • Mathematical functions and polynomials 11
    • Mathematical Inequalities and Applications 6

Robert E. Gaunt

44 papers receiving 311 citations

Peers

Robert E. Gaunt
Comparison fields: 5 of 71
  • Statistics and Probability 168
  • Mathematical Physics 87
  • Discrete Mathematics and Combinatorics 25
  • Applied Mathematics 77
  • Finance 70
Replace Nathan Ross with:
Nathan Ross Australia
Irina Shevtsova Russia
Pierre-André Zitt France
Christoph Thäle Germany
A. Yu. Zaîtsev Russia
Jean‐François Delmas France
Elvira Di Nardo Italy
Nathaël Gozlan France
Servet Martı́nez Chile
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Citations per field
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Citations per year

Countries citing papers authored by Robert E. Gaunt

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Gaunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201449
2 201439
3 201438
4
201729
5 202216
6 201815
7 202214
8 201714
9 201813
10 20169
11 20238
12
20158
13 20198
14 20237
15 20207
16 20206
17 20226
18 20235
19 20215
20 20244

About Robert E. Gaunt

Robert E. Gaunt is a scholar working on Statistics and Probability, Applied Mathematics, Mathematical Physics, Finance and Statistical and Nonlinear Physics, having authored 53 papers that have together received 345 indexed citations. Recurring topics across this work include Random Matrices and Applications (16 papers), Statistical Distribution Estimation and Applications (12 papers), Mathematical functions and polynomials (11 papers), Stochastic processes and statistical mechanics (9 papers), Stochastic processes and financial applications (8 papers), Financial Risk and Volatility Modeling (7 papers), Probability and Risk Models (7 papers) and Mathematical Inequalities and Applications (6 papers). The work is most often cited by research in Statistics and Probability (168 citations), Mathematical Physics (87 citations), Discrete Mathematics and Combinatorics (25 citations), Applied Mathematics (77 citations) and Finance (70 citations). Robert E. Gaunt has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Gesine Reinert, Yvik Swan, Charlotte M. Deane, Michael Pavlides, Satish Iyengar, Adri B. Olde Daalhuis, Siqi Li, Neil Mortensen, Jennifer Doyle and Milan Merkle. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Proceedings of the American Mathematical Society, Bernoulli, Brain stimulation and Statistical Science.

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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