Jay D. White

29 papers receiving 529 citations

Peers

Jay D. White
Comparison fields: 5 of 81
  • Public Administration 238
  • Organizational Behavior and Human Resource Management 152
  • Management Science and Operations Research 115
  • Political Science and International Relations 141
  • Information Systems and Management 41
Replace Gerald T. Gabris with:
Gerald T. Gabris United States
Douglas M. Ihrke United States
Sylvia Horton United Kingdom
Steven W. Hays United States
Ann Tukey Harrison
Eric Breit Norway
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Jay D. White relative to Gerald T. Gabris United States Gerald T. Gabris's profile →
Citations per field
00.5×1.5×2.4×
Gerald T. Gabris · 1×
Citations per year

Countries citing papers authored by Jay D. White

Since Specialization
Citations

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

Fields of papers citing papers by Jay D. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Jay D. White, 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 Jay D. White Line = papers co-authored together Jay D. White links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199493
2 198673
3
Taking Language Seriously: The Narrative Foundations of Public Administration Research
199968
4 198663
5 201342
6 199640
7 199737
8 199233
9 199933
10 199529
11 201520
12 199514
13 198914
14 199512
15 20159
16 19817
17 19827
18 19816
19 19875
20 20035

About Jay D. White

Jay D. White is a scholar working on Public Administration, Organizational Behavior and Human Resource Management, Management Science and Operations Research, Political Science and International Relations and Social Psychology, having authored 35 papers that have together received 631 indexed citations. Recurring topics across this work include Management and Organizational Studies (4 papers), Public Policy and Administration Research (4 papers), Evaluation and Performance Assessment (3 papers), Legal Education and Practice Innovations (1 paper), Asian Culture and Media Studies (1 paper), Electoral Systems and Political Participation (1 paper), Social Representations and Identity (1 paper) and Political Science Research and Education (1 paper). The work is most often cited by research in Public Administration (238 citations), Organizational Behavior and Human Resource Management (152 citations), Management Science and Operations Research (115 citations), Political Science and International Relations (141 citations) and Information Systems and Management (41 citations). Jay D. White has collaborated with scholars based in United States, Hong Kong and Brazil. Frequent co-authors include Guy B. Adams, Michael A. Diamond, John P. Forrester, Marc Holzer, Robert B. Denhardt, Michael M. Harmon, Kelly Lockeman, Tracey Gendron, Donald C. Menzel and Laurence J. O’Toole. Their work appears in journals such as Public Administration Review, The American Review of Public Administration, Administrative Theory & Praxis, Administration & Society and Simulation & Gaming.

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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