Greg Bennett

646 citations
33 papers · 499 · h-index 14

Impact in

Papers in

Greg Bennett

31 papers receiving 455 citations

Peers

Greg Bennett
Comparison fields: 5 of 74
  • Statistics, Probability and Uncertainty 217
  • Industrial and Manufacturing Engineering 175
  • Statistics and Probability 68
  • Management Science and Operations Research 82
  • Management of Technology and Innovation 43
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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 15 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197358
2 199353
3 197037
4 197434
5 197032
6 197231
7 197331
8 197523
9
Aniseikonia in relation to strabismus, anisometropia and amblyopia.
199923
10 197523
11 195519
12 197217
13 197416
14 197814
15 198013
16 195510
17 197510
18
Aniseikonia quantification: error rate of rule of thumb estimation.
199910
19
A study of aniseikonia and Knapp's law using a projection space eikonometer.
19998
20 19737

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 Ophthalmology, having authored 33 papers that have together received 499 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (14 papers), Industrial Vision Systems and Defect Detection (5 papers), Optimal Experimental Design Methods (5 papers), Manufacturing Process and Optimization (4 papers), Ophthalmology and Visual Impairment Studies (3 papers), Simulation Techniques and Applications (3 papers), Quality and Supply Management (2 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (217 citations), Industrial and Manufacturing Engineering (175 citations), Statistics and Probability (68 citations), Management Science and Operations Research (82 citations) and Management of Technology and Innovation (43 citations). Greg Bennett has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Kenneth E. Case, Harry F. Martz, Reed J. Harris, Joseph Chang, John P. Burnier, Mary B. Sliwkowski, Thomas G. Warner, Paul Visintainer, Miryam Barad and Virginia Lubkin. Their work appears in journals such as International Journal of Production Research, Computers & Industrial Engineering, Journal of Quality Technology, Omega and Biometrika.

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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