Daniel Neyland

40 papers receiving 974 citations

Peers

Daniel Neyland
Comparison fields: 5 of 108
  • Organizational Behavior and Human Resource Management 180
  • Safety Research 144
  • Public Administration 39
  • Business and International Management 20
  • Strategy and Management 149
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Mikkel Flyverbom Denmark
Niall Hayes United Kingdom
Alex Rosenblat United States
Luciana D’Adderio United Kingdom
Kirstie Ball United Kingdom
Kristine M. Kuhn United States
Steffen Roth France
Vern Glaser Canada
Detlev Zwick Canada
Maria Petrescu United States
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Citations per year

Countries citing papers authored by Daniel Neyland

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Neyland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Daniel Neyland, 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 Neyland Line = papers co-authored together Daniel Neyland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008145
2 2013104
3 201586
4 200772
5 201668
6 201357
7 200855
8 200846
9 201845
10 201443
11 201741
12 200233
13 200522
14 200622
15 201221
16 201917
17 201915
18 201713
19 201212
20 201811

About Daniel Neyland

Daniel Neyland is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management, Safety Research, Finance and Strategy and Management, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Management and Organizational Studies (9 papers), Information Systems Theories and Implementation (6 papers), Ethics and Social Impacts of AI (5 papers), Housing, Finance, and Neoliberalism (5 papers), Innovative Human-Technology Interaction (3 papers), Innovation and Socioeconomic Development (2 papers), Evaluation and Performance Assessment (2 papers) and Law in Society and Culture (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (180 citations), Safety Research (144 citations), Public Administration (39 citations), Business and International Management (20 citations) and Strategy and Management (149 citations). Daniel Neyland has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Steve Woolgar, Catelijne Coopmans, Véra Ehrenstein, Marta Gasparin, Damian O’Doherty, Andrea Whittle and James Orwell. Their work appears in journals such as Organization, Journal of Cultural Economy, The Sociological Review, Economy and Society and Science Technology & Human Values.

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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