Jay D. White

29 papers receiving 539 citations

Peers

Jay D. White
Comparison fields: 5 of 83
  • Public Administration 254
  • Organizational Behavior and Human Resource Management 161
  • Management Science and Operations Research 122
  • Political Science and International Relations 152
  • Management Information Systems 57
Replace Steven W. Hays with:
Steven W. Hays United States
Ann Tukey Harrison
Sylvia Horton United Kingdom
Deneen M. Hatmaker United States
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Eric Breit Norway
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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 19 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 1994104
2 198675
3 198669
4
Taking Language Seriously: The Narrative Foundations of Public Administration Research
199966
5 201349
6 199643
7 199742
8 199237
9 199935
10 199534
11 201520
12 198915
13 199514
14 199512
15 201511
16 19827
17 19817
18 19816
19 19876
20 20095

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, Finance and Management Information Systems, having authored 35 papers that have together received 678 indexed citations. Recurring topics across this work include Public Policy and Administration Research (4 papers), Management and Organizational Studies (4 papers), Evaluation and Performance Assessment (3 papers), Canadian Identity and History (1 paper), Global Health and Surgery (1 paper), Groundwater flow and contamination studies (1 paper), Groundwater and Isotope Geochemistry (1 paper) and Philosophy and History of Science (1 paper). The work is most often cited by research in Public Administration (254 citations), Organizational Behavior and Human Resource Management (161 citations), Management Science and Operations Research (122 citations), Political Science and International Relations (152 citations) and Management Information Systems (57 citations). Jay D. White has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Guy B. Adams, Michael A. Diamond, John P. Forrester, Marc Holzer, Robert B. Denhardt, Michael M. Harmon, Kelly S. Lockeman, Tracey L. 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, Administration & Society, Administrative Theory & Praxis and SLEEP.

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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