Don Wells

816 citations
18 papers · 480 · h-index 9

Impact in

Papers in

Don Wells

17 papers receiving 383 citations

Peers

Don Wells
Comparison fields: 5 of 62
  • Public Administration 206
  • Organizational Behavior and Human Resource Management 118
  • Strategy and Management 138
  • Management Information Systems 46
  • General Health Professions 102
Replace Ray Fells with:
Ray Fells Australia
Brian Towers United Kingdom
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Richard N. Block United States
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Michael Schuster United States
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Citations per field
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Citations per year

Countries citing papers authored by Don Wells

Since Specialization
Citations

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

Fields of papers citing papers by Don Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Don Wells, 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 Don Wells Line = papers co-authored together Don Wells links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1992282
2 200749
3 200933
4 201825
5 201422
6 200512
7 200211
8
'Best Practice' in the Regulation of International Labor Standards: Lessons of the U.S.-Cambodia Textile Agreement
200711
9 200710
10
Transforming Worker Representation: The Magna Model in Canada and Mexico
20078
11 20047
12 20074
13 20182
14
Living Wage Campaigns and Building Communities
20161
15 19951
16 19971
17 20091
18
When Corporations Substitute for Adversarial Unions: Labour Markets and Human Resource Management at Magna
20060

About Don Wells

Don Wells is a scholar working on Public Administration, Sociology and Political Science, Political Science and International Relations, Strategy and Management and General Health Professions, having authored 18 papers that have together received 480 indexed citations. Recurring topics across this work include Labor Movements and Unions (10 papers), Employment and Welfare Studies (4 papers), Global trade, sustainability, and social impact (4 papers), Migration and Labor Dynamics (3 papers), Migration, Ethnicity, and Economy (3 papers), International Labor and Employment Law (3 papers), Social Policy and Reform Studies (2 papers) and Digital Economy and Work Transformation (2 papers). The work is most often cited by research in Public Administration (206 citations), Organizational Behavior and Human Resource Management (118 citations), Strategy and Management (138 citations), Management Information Systems (46 citations) and General Health Professions (102 citations). Don Wells has collaborated with scholars based in Canada, United States and Mexico. Frequent co-authors include Mike Parker, Jane Slaughter, Janet McLaughlin, Wayne Lewchuk, Graham Knight and Bryan D. Palmer. Their work appears in journals such as Relations industrielles, Labour / Le Travail, Journal of Academic Ethics, Third World Quarterly and British Journal of Industrial Relations.

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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