Toby Lewis

632 citations
17 papers · 459 · h-index 9

Impact in

Papers in

    • Advanced Statistical Methods and Models 5
    • Statistical Distribution Estimation and Applications 4
    • Statistical Methods and Bayesian Inference 3
    • Bayesian Methods and Mixture Models 4
    • Geochemistry and Geologic Mapping 3

Toby Lewis

15 papers receiving 413 citations

Peers

Toby Lewis
Comparison fields: 5 of 121
  • Statistics and Probability 202
  • Statistics, Probability and Uncertainty 70
  • Management Science and Operations Research 55
  • Artificial Intelligence 133
  • Finance 33
Replace Arthur P. Dempster with:
Arthur P. Dempster United States
P. Blæsild Denmark
Ivan Mizera Canada
Bengt Rosén Sweden
Connor J. Dalzell Canada
C. Thomas Lin United States
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Toby Lewis relative to Arthur P. Dempster United States Arthur P. Dempster's profile →
Citations per field
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Citations per year

Countries citing papers authored by Toby Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Toby Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Toby Lewis, 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 Toby Lewis Line = papers co-authored together Toby Lewis links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1987198
2 198175
3 198353
4 197633
5 198026
6 200725
7 198111
8 19888
9 19858
10 19757
11 19856
12 19833
13 19982
14 19951
15 19831
16 19761
17 19841

About Toby Lewis

Toby Lewis is a scholar working on Statistics and Probability, Artificial Intelligence, Environmental Engineering, Statistics, Probability and Uncertainty and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 459 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (5 papers), Statistical Distribution Estimation and Applications (4 papers), Soil Geostatistics and Mapping (4 papers), Bayesian Methods and Mixture Models (4 papers), Statistical Methods and Bayesian Inference (3 papers), Geochemistry and Geologic Mapping (3 papers), Statistical and numerical algorithms (2 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Statistics and Probability (202 citations), Statistics, Probability and Uncertainty (70 citations), Management Science and Operations Research (55 citations), Artificial Intelligence (133 citations) and Finance (33 citations). Toby Lewis has collaborated with scholars based in United Kingdom, Australia and Hong Kong. Frequent co-authors include Vic Barnett, Jerome W. Thompson, N. I. Fisher, Trevor F. Cox, James R. Beniger, M. C. Jones, Arthur Pewsey, Alan Kimber, M. E. Willcox and Brenton R. Clarke. Their work appears in journals such as Biometrika, Journal of Applied Probability, Earth and Planetary Science Letters, Contemporary Sociology A Journal of Reviews and Journal of the American Statistical Association.

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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