Mark Williams

685 citations
34 papers · 436 · h-index 13

Impact in

Papers in

Mark Williams

31 papers receiving 422 citations

Peers

Mark Williams
Comparison fields: 5 of 59
  • Public Administration 44
  • Safety Research 66
  • General Health Professions 148
  • Health 40
  • Organizational Behavior and Human Resource Management 50
Replace Chih Hoong Sin with:
Chih Hoong Sin United States
Ofer Sharone United States
Rafael Muñoz de Bustillo Spain
Louise Humpage New Zealand
Sue Richardson Australia
Karen Christensen Norway
Alireza Behtoui Sweden
Mary Katherine O’Connor United States
Paul Anisef Canada
Mignon Duffy United States
Mark Williams relative to Chih Hoong Sin United States Chih Hoong Sin's profile →
Citations per field
00.5×5.9×
Chih Hoong Sin · 1×
Citations per year

Countries citing papers authored by Mark Williams

Since Specialization
Citations

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

Fields of papers citing papers by Mark Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Mark Williams, 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 Mark Williams Line = papers co-authored together Mark Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200653
2 201248
3 201639
4 201835
5 199722
6 201722
7 201621
8 201721
9 201617
10 201616
11 202016
12 202014
13 202112
14 202211
15 199711
16 201711
17 201910
18 201710
19 20199
20 20228

About Mark Williams

Mark Williams is a scholar working on General Health Professions, Economics and Econometrics, Sociology and Political Science, Social Psychology and Organizational Behavior and Human Resource Management, having authored 34 papers that have together received 436 indexed citations. Recurring topics across this work include Employment and Welfare Studies (17 papers), Labor market dynamics and wage inequality (10 papers), Psychological Well-being and Life Satisfaction (5 papers), Retirement, Disability, and Employment (5 papers), Job Satisfaction and Organizational Behavior (5 papers), Intergenerational and Educational Inequality Studies (4 papers), Social Policy and Reform Studies (3 papers) and Housing, Finance, and Neoliberalism (2 papers). The work is most often cited by research in Public Administration (44 citations), Safety Research (66 citations), General Health Professions (148 citations), Health (40 citations) and Organizational Behavior and Human Resource Management (50 citations). Mark Williams has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Yunsong Chen, Maria Koumenta, Ying Zhou, Susan Roberts, Matthew Colton, Elliroma Gardiner, Michelle Riba, Richard Balon, Thijs Bol and Jonathan E. Booth. Their work appears in journals such as Sociology, Work Employment and Society, European Sociological Review, Economic and Industrial Democracy and British Journal of Sociology.

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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