John D. Marvel

1.4k total citations
32 papers, 940 citations indexed

About

John D. Marvel is a scholar working on Sociology and Political Science, Public Administration and Organizational Behavior and Human Resource Management. According to data from OpenAlex, John D. Marvel has authored 32 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sociology and Political Science, 14 papers in Public Administration and 9 papers in Organizational Behavior and Human Resource Management. Recurrent topics in John D. Marvel's work include Public Policy and Administration Research (13 papers), Nonprofit Sector and Volunteering (8 papers) and Experimental Behavioral Economics Studies (5 papers). John D. Marvel is often cited by papers focused on Public Policy and Administration Research (13 papers), Nonprofit Sector and Volunteering (8 papers) and Experimental Behavioral Economics Studies (5 papers). John D. Marvel collaborates with scholars based in United States, Australia and Denmark. John D. Marvel's co-authors include David W. Pitts, Sergio Fernández, Amanda M. Girth, Gregory A. Strizek, Pia Peltola, Deanna M. Lyter, Bo Wen, William G. Resh, Robert J. McGrath and Patrick A. Stewart and has published in prestigious journals such as Public Administration Review, Journal of Public Administration Research and Theory and Public Management Review.

In The Last Decade

John D. Marvel

28 papers receiving 863 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John D. Marvel United States 13 356 312 233 173 153 32 940
Deneen M. Hatmaker United States 14 228 0.6× 301 1.0× 207 0.9× 71 0.4× 134 0.9× 24 762
Anat Gofen Israel 16 347 1.0× 443 1.4× 83 0.4× 237 1.4× 276 1.8× 40 1.1k
Christian Bøtcher Jacobsen Denmark 17 386 1.1× 241 0.8× 585 2.5× 61 0.4× 70 0.5× 55 1.1k
Carina Schott Netherlands 15 300 0.8× 250 0.8× 262 1.1× 122 0.7× 68 0.4× 30 696
Danny L. Balfour United States 14 303 0.9× 348 1.1× 363 1.6× 75 0.4× 121 0.8× 35 932
Laura Littlepage United States 10 285 0.8× 361 1.2× 196 0.8× 101 0.6× 71 0.5× 20 665
Rae Cooper Australia 17 372 1.0× 448 1.4× 139 0.6× 76 0.4× 187 1.2× 62 941
Helen Rainbird United Kingdom 16 221 0.6× 304 1.0× 125 0.5× 259 1.5× 141 0.9× 33 883
Jaclyn Piatak United States 17 362 1.0× 458 1.5× 151 0.6× 31 0.2× 170 1.1× 47 843
Cindy Du Bois Belgium 15 114 0.3× 516 1.7× 272 1.2× 81 0.5× 57 0.4× 50 1.1k

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-authorship network of co-authors of John D. Marvel

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Marvel. A scholar is included among the top collaborators of John D. Marvel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John D. Marvel. John D. Marvel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Zemtsov, Alexander, Armand B. Cognetta, John D. Marvel, & Ann Logan. (2023). Proposed guidelines for appropriate utilization of superficial radiation therapy in management of skin cancers. Zemtsov‐Cognetta criteria. Skin Research and Technology. 29(4). e13311–e13311. 5 indexed citations
3.
Marvel, John D.. (2022). Sex, Race, and the Allocation of Credit in Dispersed Teams: Whose Contributions to Team Success Get Noticed and Whose Get Neglected. Journal of Public Administration Research and Theory. 33(4). 578–592. 3 indexed citations
4.
Resh, William G., et al.. (2020). Procedural Environment of Public Engagement: An Induced Recall Experiment of Local Government Employees. SSRN Electronic Journal. 1 indexed citations
5.
6.
Marvel, John D., et al.. (2018). An Unconscious Drive to Help Others? Using the Implicit Association Test to Measure Prosocial Motivation. International Public Management Journal. 22(1). 29–70. 31 indexed citations
7.
Marvel, John D.. (2018). Change Agents or Cogs in the Machine? Female Managers and Unofficial Gender Equality in Federal Agencies. Public Performance & Management Review. 41(2). 328–364. 4 indexed citations
8.
Marvel, John D.. (2017). Not Seeing Eye to Eye on Frontline Work: Manager‐Employee Disagreement and Its Effects on Employees. Public Administration Review. 77(6). 904–918. 5 indexed citations
9.
Resh, William G. & John D. Marvel. (2016). The Persistence of Altruistic Work Efforts as a Function of PSM and Mission Match. Academy of Management Proceedings. 2016(1). 17452–17452. 1 indexed citations
10.
Marvel, John D. & Robert J. McGrath. (2015). Congress as manager: oversight hearings and agency morale. Journal of Public Policy. 36(3). 489–520. 18 indexed citations
11.
Bækgaard, Martin, Jens Blom‐Hansen, Claire A. Dunlop, et al.. (2015). Conducting Experiments in Public Management Research: A Practical Guide. International Public Management Journal. 18(2). 323–342. 35 indexed citations
12.
Marvel, John D.. (2015). Public Opinion and Public Sector Performance: Are Individuals’ Beliefs About Performance Evidence-Based or the Product of Anti–Public Sector Bias?. International Public Management Journal. 18(2). 209–227. 72 indexed citations
13.
Marvel, John D. & Amanda M. Girth. (2015). Citizen Attributions of Blame in Third‐Party Governance. Public Administration Review. 76(1). 96–108. 57 indexed citations
14.
Marvel, John D.. (2015). Unconscious Bias in Citizens’ Evaluations of Public Sector Performance. Journal of Public Administration Research and Theory. muu053–muu053. 176 indexed citations
15.
Marvel, John D.. (2014). The Boston Marathon Bombings: Who's to Blame and Why It Matters for Public Administration. Public Administration Review. 74(6). 713–725. 19 indexed citations
16.
Marvel, John D., et al.. (2013). Bureaucratic Discretion, Client Demographics, and Representative Bureaucracy. The American Review of Public Administration. 45(3). 281–310. 46 indexed citations
17.
Marvel, John D., et al.. (2012). Loopholes to Load-Shed: Contract Management Capacity, Representative Bureaucracy, and Goal Displacement in Federal Procurement Decisions. International Public Management Journal. 15(4). 525–547. 21 indexed citations
18.
Resh, William G. & John D. Marvel. (2011). Representative Contractors? The Implications of Representative Bureaucracy Theory in Federal Procurement. SSRN Electronic Journal.
19.
Pitts, David W., John D. Marvel, & Sergio Fernández. (2011). So Hard to Say Goodbye? Turnover Intention among U.S. Federal Employees. Public Administration Review. 71(5). 751–760. 198 indexed citations
20.
Marvel, John D., et al.. (2007). Teacher Attrition and Mobility: Results from the 2004-05 Teacher Follow-Up Survey. NCES 2007-307.. National Center for Education Statistics. 170 indexed citations

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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