William G. Resh

508 total citations
26 papers, 319 citations indexed

About

William G. Resh is a scholar working on Public Administration, Sociology and Political Science and Law. According to data from OpenAlex, William G. Resh has authored 26 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Administration, 12 papers in Sociology and Political Science and 6 papers in Law. Recurrent topics in William G. Resh's work include Public Policy and Administration Research (12 papers), Judicial and Constitutional Studies (6 papers) and Nonprofit Sector and Volunteering (5 papers). William G. Resh is often cited by papers focused on Public Policy and Administration Research (12 papers), Judicial and Constitutional Studies (6 papers) and Nonprofit Sector and Volunteering (5 papers). William G. Resh collaborates with scholars based in United States, South Korea and Australia. William G. Resh's co-authors include Tima T. Moldogaziev, Sergio Fernández, Zachary W. Oberfield, John D. Marvel, Bo Wen, Saba Siddiki, Gary Hollibaugh, Donald P. Moynihan, Esther García González and Matthew Dull and has published in prestigious journals such as Public Administration Review, Journal of Public Administration Research and Theory and Public Administration.

In The Last Decade

William G. Resh

21 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William G. Resh United States	10	158	112	101	85	53	26	319
Hyunkang Hur United States	10	80 0.5×	110 1.0×	128 1.3×	48 0.6×	34 0.6×	18	318
Michelle O’Sullivan Ireland	12	116 0.7×	149 1.3×	72 0.7×	91 1.1×	33 0.6×	41	337
Mingwei Liu China	10	113 0.7×	106 0.9×	113 1.1×	92 1.1×	84 1.6×	20	350
Zuzana Murdoch Norway	14	104 0.7×	153 1.4×	42 0.4×	190 2.2×	84 1.6×	32	374
Susan Corby United Kingdom	12	122 0.8×	91 0.8×	65 0.6×	87 1.0×	32 0.6×	44	362
Sarah Oxenbridge Australia	8	206 1.3×	111 1.0×	62 0.6×	93 1.1×	31 0.6×	18	356
Maayan Davidovitz Israel	10	114 0.7×	124 1.1×	37 0.4×	90 1.1×	24 0.5×	18	283
Jennifer Selin United States	6	115 0.7×	52 0.5×	35 0.3×	119 1.4×	90 1.7×	18	300
Hazel Conley United Kingdom	12	188 1.2×	133 1.2×	44 0.4×	112 1.3×	37 0.7×	30	379
Nick A. Theobald United States	7	152 1.0×	175 1.6×	30 0.3×	232 2.7×	57 1.1×	9	440

Countries citing papers authored by William G. Resh

Since Specialization

Citations

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

Fields of papers citing papers by William G. Resh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Resh. 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 William G. Resh. The network helps show where William G. Resh may publish in the future.

Co-authorship network of co-authors of William G. Resh

This figure shows the co-authorship network connecting the top 25 collaborators of William G. Resh. A scholar is included among the top collaborators of William G. Resh 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 William G. Resh. William G. Resh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Resh, William G., et al.. (2025). Assessing Political Brand Equity in Policy: Trump and the Centers for Disease Control's “Slow the Spread” Campaign Card. Politics & Policy. 53(4).

Resh, William G., et al.. (2025). Employee Turnover Effects of the 2018–2019 United States Federal Government Shutdown. Public Administration Review. 85(6). 1682–1696.

An, Brian, et al.. (2024). Applying an intersectional understanding of extra work behavior and emotional exhaustion in local public service. Public Administration. 102(4). 1578–1603. 1 indexed citations

Resh, William G., et al.. (2023). Populism and administrative dysfunction: The impact of U. S. government shutdowns on personnel and policy implementation. Governance. 37(S1). 61–82. 8 indexed citations

Resh, William G., et al.. (2022). Deconstructing Burnout at the Intersections of Race, Gender, and Generation in Local Government. Journal of Public Administration Research and Theory. 33(1). 186–201. 17 indexed citations

Resh, William G., et al.. (2021). Anticipated Adjudication: An Analysis of the Judicialization of the US Administrative State. Journal of Public Administration Research and Theory. 32(3). 610–626. 4 indexed citations

Resh, William G., et al.. (2021). An Intersectional Approach to Studying Burnout in Local Government. Academy of Management Proceedings. 2021(1). 10163–10163.

Resh, William G., et al.. (2021). Procedural environment of public engagement: an induced recall experiment of local government employees. Public Management Review. 24(10). 1545–1568. 3 indexed citations

Resh, William G., Gary Hollibaugh, Patrick S. Roberts, & Matthew Dull. (2020). Appointee vacancies in US executive branch agencies. Journal of Public Policy. 41(4). 653–676. 9 indexed citations

10.

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

11.

Resh, William G., et al.. (2020). Emotional labor assessments and episodic recall bias in public engagement. 3(2). 5 indexed citations

12.

Resh, William G., Gary Hollibaugh, Patrick S. Roberts, & Matthew Dull. (2019). Who Isn’t Running American Government: Appointee Vacancies in U.S. Executive Branch Agencies. SSRN Electronic Journal. 1 indexed citations

13.

Resh, William G.. (2019). The Disarticulation of the Administrative State (and Public Administration). Administration & Society. 51(3). 347–370. 12 indexed citations

14.

Resh, William G., John D. Marvel, & Bo Wen. (2017). The Persistence of Prosocial Work Effort as a Function of Mission Match. Public Administration Review. 78(1). 116–125. 36 indexed citations

15.

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

16.

Moldogaziev, Tima T. & William G. Resh. (2016). A Systems Theory Approach to Innovation Implementation: Why Organizational Location Matters. Journal of Public Administration Research and Theory. 26(4). 677–692. 24 indexed citations

17.

Resh, William G.. (2015). Rethinking the Administrative Presidency. Johns Hopkins University Press eBooks. 38 indexed citations

18.

Fernández, Sergio, William G. Resh, Tima T. Moldogaziev, & Zachary W. Oberfield. (2015). Assessing the Past and Promise of the Federal Employee Viewpoint Survey for Public Management Research: A Research Synthesis. Public Administration Review. 75(3). 382–394. 106 indexed citations

19.

Resh, William G., et al.. (2014). Does the Network Centrality of Government Actors Matter? Examining the Role of Government Organizations in Aquaculture Partnerships. Review of Policy Research. 31(6). 584–609. 17 indexed citations

20.

Resh, William G. & John D. Marvel. (2011). Representative Contractors? The Implications of Representative Bureaucracy Theory in Federal Procurement. SSRN Electronic Journal.

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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