Brian J. Melloy

967 total citations
52 papers, 689 citations indexed

About

Brian J. Melloy is a scholar working on Industrial and Manufacturing Engineering, Social Psychology and Human-Computer Interaction. According to data from OpenAlex, Brian J. Melloy has authored 52 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Industrial and Manufacturing Engineering, 12 papers in Social Psychology and 12 papers in Human-Computer Interaction. Recurrent topics in Brian J. Melloy's work include Industrial Vision Systems and Defect Detection (15 papers), Human-Automation Interaction and Safety (10 papers) and Manufacturing Process and Optimization (8 papers). Brian J. Melloy is often cited by papers focused on Industrial Vision Systems and Defect Detection (15 papers), Human-Automation Interaction and Safety (10 papers) and Manufacturing Process and Optimization (8 papers). Brian J. Melloy collaborates with scholars based in United States, Kuwait and Taiwan. Brian J. Melloy's co-authors include Anand K. Gramopadhye, Andrew T. Duchowski, Santosh Nair, Barbara G. Kanki, Xiaochun Jiang, Mohammad T. Khasawneh, Shannon R. Bowling, Byung Rae Cho, Tom M. Cavalier and Joe E. Toler and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Research and Computers & Operations Research.

In The Last Decade

Brian J. Melloy

50 papers receiving 638 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian J. Melloy United States 16 272 184 149 133 117 52 689
Marino Menozzi Switzerland 13 175 0.6× 275 1.5× 105 0.7× 138 1.0× 26 0.2× 54 688
Steven J. Landry United States 14 117 0.4× 323 1.8× 66 0.4× 96 0.7× 25 0.2× 92 757
Christian P. Janssen Netherlands 16 245 0.9× 499 2.7× 87 0.6× 191 1.4× 23 0.2× 62 916
Andrzej Grabowski Poland 15 203 0.7× 114 0.6× 99 0.7× 49 0.4× 16 0.1× 67 741
José Antonio Diego-Más Spain 16 93 0.3× 358 1.9× 62 0.4× 60 0.5× 165 1.4× 36 838
Daniel Sonntag Germany 17 357 1.3× 51 0.3× 344 2.3× 124 0.9× 27 0.2× 135 989
Sidney L. Smith United States 14 199 0.7× 279 1.5× 73 0.5× 126 0.9× 12 0.1× 33 627
Iina Aaltonen Finland 14 99 0.4× 245 1.3× 107 0.7× 41 0.3× 108 0.9× 31 648
Kara A. Latorella United States 11 201 0.7× 441 2.4× 75 0.5× 127 1.0× 27 0.2× 32 911
Laura M. Hiatt United States 12 70 0.3× 310 1.7× 163 1.1× 95 0.7× 34 0.3× 52 785

Countries citing papers authored by Brian J. Melloy

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Melloy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Melloy. 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 Brian J. Melloy. The network helps show where Brian J. Melloy may publish in the future.

Co-authorship network of co-authors of Brian J. Melloy

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Melloy. A scholar is included among the top collaborators of Brian J. Melloy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian J. Melloy. Brian J. Melloy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Melloy, Brian J., et al.. (2015). Use of Self-regulated Learning Strategies by Second-year Industrial Engineering Students. 26.1642.1–26.1642.19. 7 indexed citations
2.
3.
Melloy, Brian J., et al.. (2006). A Model of Extended, Semisystematic Visual Search. Human Factors The Journal of the Human Factors and Ergonomics Society. 48(3). 540–554. 5 indexed citations
4.
Jiang, Xiaochun, et al.. (2005). Measurement of trust over time in hybrid inspection systems: Research Articles. Human Factors and Ergonomics in Manufacturing & Service Industries. 15(2). 177–196. 1 indexed citations
5.
Gramopadhye, Anand K., et al.. (2005). USING ASSIST FOR AIRCRAFT INSPECTION TRAINING: PERFORMANCE AND USABILITY ANALYSIS. 1 indexed citations
6.
Melloy, Brian J., et al.. (2004). The effects of static multiple sources of noise on the visual search component of human inspection. International Journal of Industrial Ergonomics. 34(3). 195–207. 23 indexed citations
7.
Jiang, Xiaochun, et al.. (2004). Measurement of human trust in a hybrid inspection system based on signal detection theory measures. International Journal of Industrial Ergonomics. 34(5). 407–419. 16 indexed citations
8.
Gramopadhye, Anand K., et al.. (2003). Use of aiding and feedback in improving visual search performance for an inspection task. Human Factors and Ergonomics in Manufacturing & Service Industries. 13(2). 115–136. 12 indexed citations
9.
Melloy, Brian J., et al.. (2003). A comparison of three levels of training designed to promote systematic search behavior in visual inspection. International Journal of Industrial Ergonomics. 32(5). 331–339. 29 indexed citations
10.
Hall, Richard H., Xiaochun Jiang, Shannon R. Bowling, et al.. (2003). An Evaluation of a Job-Aiding Tool for an Inspection Task. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 47(18). 1987–1990.
11.
Duchowski, Andrew T., et al.. (2002). 3-D eye movement analysis. Behavior Research Methods, Instruments, & Computers. 34(4). 573–591. 60 indexed citations
12.
Nair, Santosh, et al.. (2001). Cognitive Feedback Training using 3D Binocular Eye Tracker. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 45(26). 1838–1842. 4 indexed citations
13.
Duchowski, Andrew T., et al.. (2001). Binocular eye tracking in VR for visual inspection training. 1–8. 48 indexed citations
14.
Duchowski, Andrew T., et al.. (2000). Binocular eye tracking in virtual reality for inspection training. 89–96. 63 indexed citations
15.
Gramopadhye, Anand K., et al.. (1997). An evaluation of economic and performance feedback in an inspection task with explicit economic consequences. International Journal of Industrial Ergonomics. 20(4). 327–337. 5 indexed citations
16.
Chen, Jen‐Ming, José A. Ventura, & Brian J. Melloy. (1994). An optimization algorithm for shape analysis of regular polygons. Machine Vision and Applications. 7(2). 82–92. 1 indexed citations
17.
Melloy, Brian J. & Greg Bennett. (1993). Computing the exponential of an intensity matrix. Journal of Computational and Applied Mathematics. 46(3). 405–413. 3 indexed citations
18.
Melloy, Brian J. & M. Jeya Chandra. (1992). Consequences of using the Cpk index to estimate the proportion of non-conforming items. International Journal of Production Research. 30(10). 2253–2263. 5 indexed citations
19.
Melloy, Brian J.. (1991). Determining the Optimal Process Mean and Screening Limits for Packages Subject to Compliance Testing. Journal of Quality Technology. 23(4). 318–323. 13 indexed citations
20.
Chandra, M. Jeya & Brian J. Melloy. (1989). An interactive simulator for statistical process control. Computers & Industrial Engineering. 17(1-4). 186–190. 1 indexed citations

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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