Larry Stapleton

110 papers receiving 612 citations

Peers

Larry Stapleton
Comparison fields: 5 of 108
  • Management Information Systems 89
  • Management of Technology and Innovation 67
  • Information Systems and Management 49
  • Industrial and Manufacturing Engineering 67
  • Management Science and Operations Research 79
Replace Thorsten Schoormann with:
Thorsten Schoormann Germany
Jeanne M. David United States
Tay Keong Tan United States
Xu Min China
Mathieu Templier Canada
Margaret A. Goralski United States
Leona Chandra Kruse Liechtenstein
Melinda Timea Fülöp Romania
Polyxeni Vassilakopoulou Norway
Antoine Harfouche France
Larry Stapleton relative to Thorsten Schoormann Germany Thorsten Schoormann's profile →
Citations per field
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Thorsten Schoormann · 1×
Citations per year

Countries citing papers authored by Larry Stapleton

Since Specialization
Citations

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

Fields of papers citing papers by Larry Stapleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201980
2 202219
3 201218
4 200617
5 200616
6 201115
7 201315
8 201815
9 202015
10 202314
11 202314
12 202214
13 200713
14 200012
15 201011
16 201311
17 200611
18 201511
19 200511
20 201210

About Larry Stapleton

Larry Stapleton is a scholar working on Management Science and Operations Research, Management Information Systems, Management of Technology and Innovation, Media Technology and Sociology and Political Science, having authored 123 papers that have together received 679 indexed citations. Recurring topics across this work include Information Systems Theories and Implementation (22 papers), Complex Systems and Decision Making (22 papers), Biomedical and Engineering Education (9 papers), Innovative Approaches in Technology and Social Development (9 papers), Big Data and Business Intelligence (9 papers), Ethics and Social Impacts of AI (8 papers), ICT Impact and Policies (8 papers) and Systems Engineering Methodologies and Applications (7 papers). The work is most often cited by research in Management Information Systems (89 citations), Management of Technology and Innovation (67 citations), Information Systems and Management (49 citations), Industrial and Manufacturing Engineering (67 citations) and Management Science and Operations Research (79 citations). Larry Stapleton has collaborated with scholars based in Ireland, Kosovo and Austria. Frequent co-authors include Edmond Hajrizi, P. Kopáček, Marion Ann Hersh, Ciarán Murphy, Peter P. Groumpos, Fei-Yue Wang, Bożenna Pasik-Duncan, Dominique Duncan, Mariana Netto and David Smith. Their work appears in journals such as AI & Society, IFAC-PapersOnLine, Annual Reviews in Control, Psychiatry Psychology and Law and Journal of Global Information Management.

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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