John D. Marvel

29 papers receiving 893 citations

Peers

John D. Marvel
Comparison fields: 5 of 82
  • Public Administration 366
  • Organizational Behavior and Human Resource Management 236
  • General Decision Sciences 28
  • Safety Research 101
  • Gender Studies 82
Replace Paolo Belardinelli with:
Paolo Belardinelli Italy
Christian Bøtcher Jacobsen Denmark
Jaclyn Piatak United States
Ulrich Thy Jensen Denmark
Carina Schott Netherlands
John Shields Australia
Ningyu Tang China
Leonard Bright United States
Paul G. Schervish United States
Deneen M. Hatmaker United States
John D. Marvel relative to Paolo Belardinelli Italy Paolo Belardinelli's profile →
Citations per field
00.5×9.3×
Paolo Belardinelli · 1×
Citations per year

Countries citing papers authored by John D. Marvel

Since Specialization
Citations

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

Fields of papers citing papers by John D. Marvel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Marvel. 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 John D. Marvel. The network helps show where John D. Marvel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011198
2 2015181
3
Teacher Attrition and Mobility: Results from the 2004-05 Teacher Follow-Up Survey. NCES 2007-307.
2007170
4 201575
5 201561
6 201347
7 201738
8 201536
9 201833
10 201521
11 201221
12 201419
13 201518
14 201910
15 20236
16 20175
17 20225
18 20185
19 20204
20 20213

About John D. Marvel

John D. Marvel is a scholar working on Sociology and Political Science, Public Administration, Organizational Behavior and Human Resource Management, Gender Studies and Communication, having authored 32 papers that have together received 968 indexed citations. Recurring topics across this work include Public Policy and Administration Research (13 papers), Nonprofit Sector and Volunteering (8 papers), Experimental Behavioral Economics Studies (5 papers), Gender Diversity and Inequality (5 papers), Job Satisfaction and Organizational Behavior (5 papers), Electoral Systems and Political Participation (4 papers), Public Relations and Crisis Communication (4 papers) and Management and Organizational Studies (3 papers). The work is most often cited by research in Public Administration (366 citations), Organizational Behavior and Human Resource Management (236 citations), General Decision Sciences (28 citations), Safety Research (101 citations) and Gender Studies (82 citations). John D. Marvel has collaborated with scholars based in United States, South Sudan and Hong Kong. Frequent co-authors include David W. Pitts, Sergio Fernández, Amanda M. Girth, Deanna M. Lyter, Gregory A. Strizek, Pia Peltola, Bo Wen, William G. Resh, Robert J. McGrath and Marc Estève. Their work appears in journals such as Public Administration Review, International Public Management Journal, Journal of Public Administration Research and Theory, The American Review of Public Administration and Public Performance & Management Review.

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.

Explore authors with similar magnitude of impact