Gary Stump

38 papers receiving 675 citations

Peers

Gary Stump
Comparison fields: 5 of 69
  • Management of Technology and Innovation 182
  • Industrial and Manufacturing Engineering 145
  • Safety, Risk, Reliability and Quality 83
  • Computer Vision and Pattern Recognition 160
  • Computational Theory and Mathematics 109
Replace Michael A. Yukish with:
Michael A. Yukish United States
David Baudry France
Tetsuo Sawaragi Japan
Cláudio Gomes Denmark
Juergen Rossmann Germany
Hui Cheng China
Feng Xiang China
Liqiao Xia Hong Kong
Zheng Wu China
Gerald M. Knapp United States
Gary Stump relative to Michael A. Yukish United States Michael A. Yukish's profile →
Citations per field
00.5×1.5×2.2×
Michael A. Yukish · 1×
Citations per year

Countries citing papers authored by Gary Stump

Since Specialization
Citations

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

Fields of papers citing papers by Gary Stump

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201984
2 200978
3 200265
4 200462
5 200355
6 200442
7 202239
8 200832
9 202027
10 200723
11 200322
12 200821
13 201318
14 201915
15 201414
16 202111
17 201211
18 201710
19 200710
20 20078

About Gary Stump

Gary Stump is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Social Psychology, Management of Technology and Innovation and Control and Systems Engineering, having authored 38 papers that have together received 701 indexed citations. Recurring topics across this work include Data Visualization and Analytics (15 papers), Design Education and Practice (12 papers), Product Development and Customization (10 papers), Human-Automation Interaction and Safety (7 papers), Color perception and design (5 papers), Systems Engineering Methodologies and Applications (4 papers), Technology Assessment and Management (3 papers) and Vehicle emissions and performance (2 papers). The work is most often cited by research in Management of Technology and Innovation (182 citations), Industrial and Manufacturing Engineering (145 citations), Safety, Risk, Reliability and Quality (83 citations), Computer Vision and Pattern Recognition (160 citations) and Computational Theory and Mathematics (109 citations). Gary Stump has collaborated with scholars based in United States, Ecuador and Singapore. Frequent co-authors include Timothy W. Simpson, Mike Yukish, Michael A. Yukish, Simon W. Miller, Joseph Donndelinger, Jay D. Martin, Conrad S. Tucker, James Cunningham, Christopher McComb and Jonathan Cagan. Their work appears in journals such as Journal of Mechanical Design, Journal of Computing and Information Science in Engineering, Journal of Dynamic Systems Measurement and Control, The Journal of the Astronautical Sciences and Systems Engineering.

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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