John D. Marvel

24 papers receiving 918 citations

Peers

John D. Marvel
Comparison fields: 5 of 84
  • Public Administration 364
  • Organizational Behavior and Human Resource Management 233
  • General Decision Sciences 28
  • Safety Research 106
  • Gender Studies 82
Replace Asmus Leth Olsen with:
Asmus Leth Olsen Denmark
Carina Schott Netherlands
Ulrich Thy Jensen Denmark
Ningyu Tang China
Paul G. Schervish United States
Jaclyn Piatak United States
Paolo Belardinelli Italy
Deneen M. Hatmaker United States
Leonard Bright United States
Thomas F. Reed United States
John D. Marvel relative to Asmus Leth Olsen Denmark Asmus Leth Olsen's profile →
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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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011192
2
Teacher Attrition and Mobility: Results from the 2004-05 Teacher Follow-Up Survey. NCES 2007-307.
2007192
3 2015187
4 201577
5 201566
6 201347
7 201540
8 201739
9 201830
10 201521
11 201221
12 201419
13 201518
14 201910
15 20238
16 20186
17 20176
18 20225
19 20204
20 20143

About John D. Marvel

John D. Marvel is a scholar working on Public Administration, Organizational Behavior and Human Resource Management, Gender Studies, Safety Research and Sociology and Political Science, having authored 26 papers that have together received 999 indexed citations. Recurring topics across this work include Public Policy and Administration Research (11 papers), Gender Diversity and Inequality (5 papers), Nonprofit Sector and Volunteering (5 papers), Electoral Systems and Political Participation (4 papers), Experimental Behavioral Economics Studies (4 papers), Gender Politics and Representation (3 papers), Social and Intergroup Psychology (3 papers) and Management and Organizational Studies (3 papers). The work is most often cited by research in Public Administration (364 citations), Organizational Behavior and Human Resource Management (233 citations), General Decision Sciences (28 citations), Safety Research (106 citations) and Gender Studies (82 citations). John D. Marvel has collaborated with scholars based in United States, Denmark and Hong Kong. Frequent co-authors include David W. Pitts, Sergio Fernández, Amanda Michelle Girth, Deanna M. Lyter, Pia Peltola, Gregory A. Strizek, Bo Wen, William G. Resh, Robert Joseph McGrath and Patrick Alan Stewart. Their work appears in journals such as Public Administration Review, International Public Management Journal, Journal of Public Administration Research and Theory, Public Performance & Management Review and The American Review of Public Administration.

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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