Greg Bennett

33 papers receiving 483 citations

Peers

Greg Bennett
Comparison fields: 5 of 79
  • Statistics, Probability and Uncertainty 220
  • Industrial and Manufacturing Engineering 179
  • Statistics and Probability 73
  • Management Science and Operations Research 89
  • Management Information Systems 64
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Elart von Collani Germany
Yushin Hong South Korea
Ling-Yau Chan Hong Kong
Gu-Hong Lin Taiwan
E.G. Kyriakidis Greece
Shaoxiang Chen Singapore
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Jin-Li Guo China
Yeh Lam Hong Kong
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Citations per year

Countries citing papers authored by Greg Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Greg Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Greg Bennett, 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 Greg Bennett Line = papers co-authored together Greg Bennett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197358
2 199355
3 197037
4 197436
5 197233
6 197032
7 197331
8 197523
9
Aniseikonia in relation to strabismus, anisometropia and amblyopia.
199923
10 197523
11 195520
12 197519
13 197218
14 197416
15 197814
16 198013
17
Aniseikonia quantification: error rate of rule of thumb estimation.
199911
18 195510
19 197510
20
A study of aniseikonia and Knapp's law using a projection space eikonometer.
19999

About Greg Bennett

Greg Bennett is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering, Management Science and Operations Research, Statistics and Probability and Management Information Systems, having authored 37 papers that have together received 533 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (14 papers), Optimal Experimental Design Methods (5 papers), Industrial Vision Systems and Defect Detection (5 papers), Manufacturing Process and Optimization (4 papers), Legal Education and Practice Innovations (3 papers), Artificial Intelligence in Law (3 papers), Simulation Techniques and Applications (3 papers) and Artificial Intelligence Applications (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (220 citations), Industrial and Manufacturing Engineering (179 citations), Statistics and Probability (73 citations), Management Science and Operations Research (89 citations) and Management Information Systems (64 citations). Greg Bennett has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Kenneth E. Case, Harry F. Martz, Jan Schmidt, Thomas G. Warner, Mary B. Sliwkowski, John A. White, John P. Burnier, Joseph Chang, Reed J. Harris and Virginia Lubkin. Their work appears in journals such as International Journal of Production Research, Computers & Industrial Engineering, Journal of Quality Technology, British Journal of Ophthalmology and European Journal of Operational Research.

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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