Jack Fuller

501 citations
28 papers · 357 · h-index 6

Impact in

Papers in

Jack Fuller

24 papers receiving 293 citations

Peers

Jack Fuller
Comparison fields: 5 of 71
  • Organizational Behavior and Human Resource Management 223
  • Communication 31
  • Strategy and Management 65
  • Human Factors and Ergonomics 9
  • Demography 42
Replace Mark D. Fulford with:
Mark D. Fulford United States
Anuradha Ramesh India
José R. Goris United States
Rosemary Harrison United Kingdom
Dae Seok Chai United States
Martin Blom Sweden
Kristina Jaskyte United States
Reuben Mondejar Hong Kong
Antonio Marturano Japan
Kim Gower United States
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Citations per field
00.5×3.8×
Mark D. Fulford · 1×
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 10 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001199
2 200373
3 201026
4
Recharging Intellectual Batteries: The Challenge of Faculty Development.
19857
5 20036
6 19786
7 20024
8 19794
9 20104
10 20103
11 20113
12 20013
13 19753
14 19852
15
Mashups Can Be Gravy: Techniques for Bringing the Web to SAS®
20102
16 20172
17 19851
18 20111
19 20061
20 20111

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 28 papers that have together received 357 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), Operations Management Techniques (3 papers), Scheduling and Optimization Algorithms (3 papers), Iron and Steelmaking Processes (3 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (223 citations), Communication (31 citations), Strategy and Management (65 citations), Human Factors and Ergonomics (9 citations) and Demography (42 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, Michael G. Jacobides, Martin Reeves and Robert E. Parks. Their work appears in journals such as Daedalus, International Journal of Operations & Production Management, Group & Organization Management, The Energy Journal and Journal of Energy 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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