Don Wells

31 total papers · 815 total citations
18 papers, 481 citations indexed

About

Don Wells is a scholar working on Public Administration, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Don Wells has authored 18 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Administration, 7 papers in Sociology and Political Science and 6 papers in Political Science and International Relations. Recurrent topics in Don Wells's work include Labor Movements and Unions (10 papers), Employment and Welfare Studies (4 papers) and Global trade, sustainability, and social impact (4 papers). Don Wells is often cited by papers focused on Labor Movements and Unions (10 papers), Employment and Welfare Studies (4 papers) and Global trade, sustainability, and social impact (4 papers). Don Wells collaborates with scholars based in Canada, United States and Mexico. Don Wells's co-authors include Mike Parker, Janet McLaughlin, Wayne Lewchuk, Graham Knight and Bryan D. Palmer and has published in prestigious journals such as Third World Quarterly, British Journal of Industrial Relations and Labour / Le Travail.

In The Last Decade

Don Wells

17 papers receiving 378 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Don Wells	205	140	130	119	103	18	481
Alex Turrini	232 1.1×	90 0.6×	167 1.3×	132 1.1×	89 0.9×	25	546
Linda Markowitz	183 0.9×	84 0.6×	145 1.1×	118 1.0×	120 1.2×	24	494
Saul A. Rubinstein	183 0.9×	200 1.4×	106 0.8×	147 1.2×	95 0.9×	19	506
Jim Kitay	131 0.6×	75 0.5×	77 0.6×	160 1.3×	77 0.7×	25	460
Ricardo S. Morse	209 1.0×	83 0.6×	148 1.1×	101 0.8×	56 0.5×	21	533
Heather Getha‐Taylor	238 1.2×	88 0.6×	155 1.2×	158 1.3×	47 0.5×	32	533
Nadine Raaphorst	208 1.0×	69 0.5×	198 1.5×	93 0.8×	60 0.6×	22	505
Thomas Pallesen	193 0.9×	75 0.5×	102 0.8×	121 1.0×	50 0.5×	21	420
Erin L. Borry	133 0.6×	86 0.6×	169 1.3×	134 1.1×	41 0.4×	21	437
Adina Dudau	153 0.7×	79 0.6×	125 1.0×	118 1.0×	87 0.8×	27	465

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-authorship network of co-authors of Don Wells

This figure shows the co-authorship network connecting the top 25 collaborators of Don Wells. A scholar is included among the top collaborators of Don Wells based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Don Wells. Don Wells is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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