Jay L. Bartroff

682 citations
41 papers · 412 · h-index 11

Impact in

Papers in

Jay L. Bartroff

39 papers receiving 390 citations

Peers

Jay L. Bartroff
Comparison fields: 5 of 88
  • Statistics and Probability 144
  • Statistics, Probability and Uncertainty 57
  • Management Science and Operations Research 81
  • Radiology, Nuclear Medicine and Imaging 70
  • Computer Vision and Pattern Recognition 35
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Yang Ning United States
James F. Hannan United States
Alexander Meister Germany
Guillaume Lecué France
Олег Витальевич Лепский
Klaus J. Miescke United States
Rajan Chattamvelli India
Zhenhua Lin Singapore
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Citations per year

Countries citing papers authored by Jay L. Bartroff

Since Specialization
Citations

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

Fields of papers citing papers by Jay L. Bartroff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay L. Bartroff. 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 Jay L. Bartroff. The network helps show where Jay L. Bartroff may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200393
2 201232
3 200827
4 200826
5 201425
6 199922
7 202018
8 201016
9 201016
10 202012
11 199912
12 200711
13 20109
14 20117
15 20106
16 20116
17 20155
18 20205
19 20005
20 20145

About Jay L. Bartroff

Jay L. Bartroff is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Economics and Econometrics and Organizational Behavior and Human Resource Management, having authored 41 papers that have together received 412 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (22 papers), Optimal Experimental Design Methods (10 papers), Advanced Statistical Process Monitoring (7 papers), Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (7 papers), Military Defense Systems Analysis (4 papers), Facility Location and Emergency Management (3 papers) and Digital Radiography and Breast Imaging (3 papers). The work is most often cited by research in Statistics and Probability (144 citations), Statistics, Probability and Uncertainty (57 citations), Management Science and Operations Research (81 citations), Radiology, Nuclear Medicine and Imaging (70 citations) and Computer Vision and Pattern Recognition (35 citations). Jay L. Bartroff has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Tze Leung Lai, James S. Whiting, Miguel Patricio Eckstein, Craig K. Abbey, François O. Bochud, Jinlin Song, Mei‐Chiung Shih, Matthew Finkelman, Larry Joel Goldstein and Ester Samuel‐Cahn. Their work appears in journals such as Advances in Applied Probability, Optics Express, Statistics in Medicine, Journal of Statistical Planning and Inference and Biometrics.

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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