Jack Fuller

501 citations
26 papers · 333 · h-index 5

Impact in

Papers in

Jack Fuller

23 papers receiving 272 citations

Peers

Jack Fuller
Comparison fields: 5 of 70
  • Organizational Behavior and Human Resource Management 213
  • Communication 31
  • Strategy and Management 61
  • Human Factors and Ergonomics 9
  • Demography 41
Replace Mark D. Fulford with:
Mark D. Fulford United States
Anuradha Ramesh India
José R. Goris United States
Thomas Jønsson Denmark
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Svein Tvedt Johansen Norway
Nathalie van Meurs United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jack Fuller

Since Specialization
Citations

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

Fields of papers citing papers by Jack Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Jack Fuller, 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 Jack Fuller Line = papers co-authored together Jack Fuller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001190
2 200368
3 201023
4
Recharging Intellectual Batteries: The Challenge of Faculty Development.
19857
5 20036
6 20024
7 19784
8 19794
9 20103
10 20013
11 19753
12 19852
13
Mashups Can Be Gravy: Techniques for Bringing the Web to SAS®
20102
14 20172
15 20102
16 19851
17 20111
18 20061
19 20111
20 20041

About Jack Fuller

Jack Fuller is a scholar working on Management Science and Operations Research, Biomedical Engineering, Management Information Systems, Strategy and Management and Computational Mechanics, having authored 26 papers that have together received 333 indexed citations. Recurring topics across this work include Complex Systems and Decision Making (4 papers), Thermochemical Biomass Conversion Processes (3 papers), Job Satisfaction and Organizational Behavior (3 papers), Iron and Steelmaking Processes (3 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Big Data and Business Intelligence (2 papers), Innovation and Knowledge Management (2 papers) and Operations Management Techniques (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (213 citations), Communication (31 citations), Strategy and Management (61 citations), Human Factors and Ergonomics (9 citations) and Demography (41 citations). Jack Fuller has collaborated with scholars based in United States and Germany. Frequent co-authors include Gerald L. Blakely, Brian P. Niehoff, Robert H. Moorman, Martha C. Andrews, Fred J. Evans, Frederick C. Scherr, Abhishek Srivastava and Robert E. Parks. Their work appears in journals such as Omega, Group & Organization Management, Business Horizons, Journal of Energy Resources Technology and Journal of Business and Psychology.

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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