Thomas A. Bishop

956 citations
36 papers · 664 · h-index 13

Impact in

    • Statistical Methods in Clinical Trials
    • Advanced Statistical Methods and Models
  • Archeology top 2%
    • Forensic Anthropology and Bioarchaeology Studies

Papers in

Thomas A. Bishop

30 papers receiving 585 citations

Peers

Thomas A. Bishop
Comparison fields: 5 of 133
  • Statistics and Probability 128
  • Archeology 124
  • Anthropology 103
  • Process Chemistry and Technology 25
  • Management Science and Operations Research 103
Replace John T. O’Connor with:
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Citations per year

Countries citing papers authored by Thomas A. Bishop

Since Specialization
Citations

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

Fields of papers citing papers by Thomas A. Bishop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas A. Bishop. 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 Thomas A. Bishop. The network helps show where Thomas A. Bishop may publish in the future.

Co-authors

The 23 scholars most cited alongside Thomas A. Bishop, 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 Thomas A. Bishop Line = papers co-authored together Thomas A. Bishop links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982113
2 200587
3 197869
4 198459
5 198152
6 200644
7 200539
8
EPA (Environmental Protection Agency) method study 20, method 610--PNA's (polynuclear aromatic hydrocarbons). Final report 20 September 1978-31 October 1984
198439
9 198524
10 197822
11
Heteroscedastic anova, manova, and multiple-comparisons /
197616
12 197714
13 198313
14 198210
15 19797
16 19827
17 19846
18 20075
19 19785
20 19784

About Thomas A. Bishop

Thomas A. Bishop is a scholar working on Statistics and Probability, Management Science and Operations Research, Archeology, Demography and Political Science and International Relations, having authored 36 papers that have together received 664 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Family Dynamics and Relationships (3 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers), Shakespeare, Adaptation, and Literary Criticism (2 papers), Pesticide Residue Analysis and Safety (2 papers), Probabilistic and Robust Engineering Design (2 papers), Fatigue and fracture mechanics (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Statistics and Probability (128 citations), Archeology (124 citations), Anthropology (103 citations), Process Chemistry and Technology (25 citations) and Management Science and Operations Research (103 citations). Thomas A. Bishop has collaborated with scholars based in United States, Slovenia and South Africa. Frequent co-authors include Edward J. Dudewicz, Donald J. Reid, Debbie Guatelli‐Steinberg, Chester W. Spicer, J.E. Howes, Clark Spencer Larsen, Robert K. Stevens, Sam D. Stout, Judith Primavera and Robert D. Felner. Their work appears in journals such as Technometrics, Journal of Human Evolution, Biometrika, Nuclear Engineering and Design and Professional Psychology Research and Practice.

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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