Derek Bingham

58 papers receiving 1.6k citations

Peers

Derek Bingham
Comparison fields: 5 of 122
  • Statistics, Probability and Uncertainty 471
  • Management Science and Operations Research 805
  • Computational Theory and Mathematics 694
  • Statistics and Probability 279
  • Astronomy and Astrophysics 251
Replace Jason L. Loeppky with:
Jason L. Loeppky Canada
Fred J. Hickernell United States
James Gattiker United States
C. Michael Stein United States
Jian Hua Guo Netherlands
I.O. Bohachevsky United States
Massimiliano L. Vasile United Kingdom
I. Barrodale Canada
Yaming Yu United States
Bodhisattva Sen United States
Derek Bingham relative to Jason L. Loeppky Canada Jason L. Loeppky's profile →
Citations per field
00.5×2×4×6.5×
Jason L. Loeppky · 1×
Citations per year

Countries citing papers authored by Derek Bingham

Since Specialization
Citations

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

Fields of papers citing papers by Derek Bingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008182
2 2006117
3 2009108
4 1999107
5 2017107
6 2016104
7 200193
8 199988
9 201370
10 200354
11 201552
12 200443
13 199940
14 201137
15 202235
16 200832
17 201532
18 200929
19 200727
20 201722

About Derek Bingham

Derek Bingham is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Statistics and Probability and Artificial Intelligence, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (26 papers), Optimal Experimental Design Methods (23 papers), Probabilistic and Robust Engineering Design (13 papers), Statistical Methods in Clinical Trials (9 papers), Gaussian Processes and Bayesian Inference (7 papers), Computational Fluid Dynamics and Aerodynamics (6 papers), Simulation Techniques and Applications (5 papers) and Cryospheric studies and observations (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (471 citations), Management Science and Operations Research (805 citations), Computational Theory and Mathematics (694 citations), Statistics and Probability (279 citations) and Astronomy and Astrophysics (251 citations). Derek Bingham has collaborated with scholars based in Canada, United States and Taiwan. Frequent co-authors include Randy R. Sitter, Pritam Ranjan, George C. Michailidis, David Higdon, Ben Zhong Tang, Earl Lawrence, Michael J. Grosskopf, Hugh Chipman, Crystal D. Linkletter and Katrin Heitmann. Their work appears in journals such as Technometrics, Journal of Quality Technology, The American Statistician, The Astrophysical Journal and The Annals of Applied Statistics.

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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