Daniel King

844 citations
35 papers · 617 · h-index 12

Impact in

Papers in

Daniel King

32 papers receiving 579 citations

Peers

Daniel King
Comparison fields: 5 of 81
  • Organizational Behavior and Human Resource Management 358
  • Public Administration 53
  • Human Factors and Ergonomics 25
  • Gender Studies 82
  • Information Systems and Management 47
Replace John T. Luhman with:
John T. Luhman United States
Consuelo Vásquez Canada
Edward Wray‐Bliss Australia
Arne Carlsen Norway
Jerzy Kociatkiewicz Poland
Amy Thurlow Canada
Jens Rennstam Sweden
Peter Anthony United Kingdom
Matthew J. Brannan United Kingdom
Kenneth Mølbjerg Jørgensen Denmark
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Citations per field
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John T. Luhman · 1×
Citations per year

Countries citing papers authored by Daniel King

Since Specialization
Citations

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

Fields of papers citing papers by Daniel King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Daniel King, 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 Daniel King Line = papers co-authored together Daniel King links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201698
2 201098
3 201493
4 201649
5 201846
6 201746
7 201431
8 201926
9 200819
10 202118
11 202316
12
Organizing otherwise: Translating anarchism in a voluntary sector organization
201415
13 20179
14 19968
15 20127
16 20225
17 20234
18 20223
19 20223
20 20203

About Daniel King

Daniel King is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science, Public Administration, Information Systems and Management and Gender Studies, having authored 35 papers that have together received 617 indexed citations. Recurring topics across this work include Management and Organizational Studies (18 papers), Nonprofit Sector and Volunteering (5 papers), Management Theory and Practice (4 papers), Participatory Visual Research Methods (3 papers), Labor Movements and Unions (2 papers), Ethics in Business and Education (2 papers), Foucault, Power, and Ethics (2 papers) and Innovative Education and Learning Practices (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (358 citations), Public Administration (53 citations), Human Factors and Ergonomics (25 citations), Gender Studies (82 citations) and Information Systems and Management (47 citations). Daniel King has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Patrick Reedy, Emma Bell, Mark Learmonth, Christine Coupland, Chris Land, John W. Leonard, Helen Shipton, Amirali Minbashian, Hoa Do and Jenna Ward. Their work appears in journals such as Nonprofit and Voluntary Sector Quarterly, Academy of Management Learning and Education, Human Relations, Organization Studies and VOLUNTAS International Journal of Voluntary and Nonprofit Organizations.

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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