Hugh Chipman

5.0k citations
48 papers · 2.6k · h-index 23

Impact in

Papers in

    • Statistical Methods and Inference 12
    • Advanced Statistical Methods and Models 9
    • Statistical Methods and Bayesian Inference 8
    • Gaussian Processes and Bayesian Inference 6
    • Bayesian Methods and Mixture Models 4

Hugh Chipman

47 papers receiving 2.4k citations

Peers

Hugh Chipman
Comparison fields: 5 of 164
  • Statistics and Probability 713
  • Management Science and Operations Research 550
  • Statistics, Probability and Uncertainty 276
  • Computational Theory and Mathematics 438
  • Artificial Intelligence 806
Replace Vladimir Vovk with:
Vladimir Vovk United Kingdom
Thierry Denœux France
Jean Dezert France
Sara van de Geer Switzerland
Cun‐Hui Zhang United States
László Györfi Hungary
Friedrich Pukelsheim Germany
Wen‐Liang Hung Taiwan
Yuhong Yang United States
Bingyi Kang China
Hugh Chipman relative to Vladimir Vovk United Kingdom Vladimir Vovk's profile →
Citations per field
00.5×1.7×
Vladimir Vovk · 1×
Citations per year

Countries citing papers authored by Hugh Chipman

Since Specialization
Citations

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

Fields of papers citing papers by Hugh Chipman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998429
2 1997352
3 1996237
4 1997152
5 2016146
6
Bayesian Additive Regression Trees
2006124
7 1997120
8 2002108
9 2005106
10 199780
11 201567
12 199966
13 199851
14 200651
15 201441
16 200536
17 201936
18 199933
19 201532
20 200725

About Hugh Chipman

Hugh Chipman is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics and Statistics, Probability and Uncertainty, having authored 48 papers that have together received 2.6k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (17 papers), Statistical Methods and Inference (12 papers), Advanced Statistical Methods and Models (9 papers), Statistical Methods and Bayesian Inference (8 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Gaussian Processes and Bayesian Inference (6 papers), Bayesian Methods and Mixture Models (4 papers) and Probabilistic and Robust Engineering Design (3 papers). The work is most often cited by research in Statistics and Probability (713 citations), Management Science and Operations Research (550 citations), Statistics, Probability and Uncertainty (276 citations), Computational Theory and Mathematics (438 citations) and Artificial Intelligence (806 citations). Hugh Chipman has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Robert E. McCulloch, Edward I. George, Eric D. Kolaczyk, Michael S. Hamada, C. F. Jeff Wu, Changbao Wu, Mu Zhu, B. Abraham, Pritam Ranjan and K. Vijayan. Their work appears in journals such as Technometrics, Journal of the American Statistical Association, Canadian Journal of Statistics, Journal of Computational and Graphical Statistics and Journal of Chemical Information and Modeling.

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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