Michael Dunn

23 papers receiving 607 citations

Peers

Michael Dunn
Comparison fields: 5 of 75
  • Marketing 300
  • Sociology and Political Science 510
  • General Health Professions 204
  • Demography 98
  • Public Administration 22
Replace Ultan Sherman with:
Ultan Sherman Ireland
Marianne Furrer Switzerland
Alexandrea J. Ravenelle United States
Antonio Aloisi Spain
Hatim A. Rahman United States
Jeremias Adams‐Prassl United Kingdom
Tom Barratt Australia
Peter Kalum Schou Norway
Amanda Peticca‐Harris France
Ivana Pais Italy
Michael Dunn relative to Ultan Sherman Ireland Ultan Sherman's profile →
Citations per field
00.5×1.5×1.8×
Ultan Sherman · 1×
Citations per year

Countries citing papers authored by Michael Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Michael Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Michael Dunn, 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 Michael Dunn Line = papers co-authored together Michael Dunn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019165
2 2020124
3 201987
4
Good Jobs, Bad Jobs in the Gig Economy
201679
5 202050
6 202326
7 202220
8 201616
9 202115
10 202114
11 202210
12 20209
13 20247
14 20155
15 20245
16 20044
17 20183
18
A Safe System-Based Framework and Analytical Methodology for Assessing Intersections
20212
19 20102
20
Freelancing Online During the COVID-19 Pandemic
20202

About Michael Dunn

Michael Dunn is a scholar working on Sociology and Political Science, General Health Professions, Marketing, Economics and Econometrics and Demography, having authored 25 papers that have together received 649 indexed citations. Recurring topics across this work include Digital Economy and Work Transformation (16 papers), Employment and Welfare Studies (13 papers), Sharing Economy and Platforms (8 papers), Cyberloafing and Workplace Behavior (2 papers), Labor market dynamics and wage inequality (2 papers), Higher Education Research Studies (2 papers), COVID-19 Pandemic Impacts (2 papers) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Marketing (300 citations), Sociology and Political Science (510 citations), General Health Professions (204 citations), Demography (98 citations) and Public Administration (22 citations). Michael Dunn has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Mohammad Hossein Jarrahi, Arne L. Kalleberg, Will Sutherland, Sarah Beth Nelson, Steve Sawyer, Fabian Stephany, Vili Lehdonvirta, Brian S. Butler, Christoph Lutz and Gemma Newlands. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, New Technology Work and Employment, Frontiers in Sociology, International Journal of Nursing Studies and Social Forces.

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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