Daniel Muzio

94 papers receiving 3.3k citations

Daniel Muzio's Hit Papers

Theory‐Driven Perspectives on Generative Artificial Intelligence in Business and Management 2024 · 51 citations
510+4+8Years since publication100200300

Peers

Daniel Muzio
Comparison fields: 5 of 111
  • Organizational Behavior and Human Resource Management 1.5k
  • Public Administration 512
  • Gender Studies 542
  • Strategy and Management 712
  • Management Information Systems 383
Replace Stephen Ackroyd with:
Stephen Ackroyd United Kingdom
Bob Hinings Canada
Lauren B. Edelman United States
Henry Hansmann United States
James N. Baron United States
Laura Empson United Kingdom
Sally Coleman Selden United States
Steven Van de Walle Belgium
Robert P. Gephart Canada
Maddy Janssens Belgium
Daniel Muzio relative to Stephen Ackroyd United Kingdom Stephen Ackroyd's profile →
Citations per field
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Stephen Ackroyd · 1×
Citations per year

Countries citing papers authored by Daniel Muzio

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Muzio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Muzio, 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 Muzio Line = papers co-authored together Daniel Muzio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Professions and Institutional Change: Towards an Institutionalist Sociology of the Professions
Hit paper breakdown →
2013342
2 2008212
3 2011180
4 2011176
5 2008163
6 2011153
7 2019140
8 2012105
9 2007105
10 201394
11 200794
12 201494
13 201485
14 200578
15 201570
16 200969
17 201164
18 201563
19 200761
20 201656

About Daniel Muzio

Daniel Muzio is a scholar working on Organizational Behavior and Human Resource Management, Public Administration, Sociology and Political Science, Strategy and Management and Economics and Econometrics, having authored 99 papers that have together received 3.6k indexed citations. Recurring topics across this work include Management and Organizational Studies (46 papers), Labor Movements and Unions (18 papers), Legal Education and Practice Innovations (16 papers), Gender Diversity and Inequality (15 papers), Occupational and Professional Licensing Regulation (12 papers), Accounting and Organizational Management (7 papers), Ethics in Business and Education (6 papers) and Corporate Finance and Governance (6 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (1.5k citations), Public Administration (512 citations), Gender Studies (542 citations), Strategy and Management (712 citations) and Management Information Systems (383 citations). Daniel Muzio has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include James Faulconbridge, David Brock, Sharon C. Bolton, Roy Suddaby, Stephen Ackroyd, Ian Kirkpatrick, Damian Hodgson, Luca Sabini, Jonathan V. Beaverstock and Neil Alderman. Their work appears in journals such as Journal of Management Studies, Organization Studies, Work Employment and Society, Current Sociology and 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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