Jay M. Shafritz

42 papers receiving 1.3k citations

Hit Papers

Classics of organization theory198720262000201319871987100200300400500

Peers

Jay M. Shafritz
Comparison fields: 5 of 121
  • Public Administration 466
  • Sociology and Political Science 431
  • Political Science and International Relations 368
  • Organizational Behavior and Human Resource Management 336
  • Strategy and Management 280
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Countries citing papers authored by Jay M. Shafritz

Since Specialization
Citations

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

Fields of papers citing papers by Jay M. Shafritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay M. Shafritz

This figure shows the co-authorship network connecting the top 25 collaborators of Jay M. Shafritz. A scholar is included among the top collaborators of Jay M. Shafritz 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 Jay M. Shafritz. Jay M. Shafritz 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
#WorkIndexed citations
1 2
2 1
3
Public administration : classic readings
2
4
Classic of Public Administration
7
5 8
6
Shakespeare on Management
0
7
Public Management: The Essential Readings
34
8
Essentials of business ethics
25
9
The nonprofit organization : essential readings
22
10
Classics of Public Administrationbreakdown →
431
11
The Facts on File Dictionary of Public Administration
7
12
Essentials of labor relations
11
13 1
14 1
15 17
16
Government budgeting : theory, process, and politics
1
17 29
18 7
19
State government productivity : the environment for improvement
5
20 8

About Jay M. Shafritz

Jay M. Shafritz is a scholar working on General Social Sciences, Organizational Behavior and Human Resource Management and Management Information Systems, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (1 paper), Historical and Literary Studies (1 paper) and American Constitutional Law and Politics (1 paper). The work is most often cited by research in Public Administration (466 citations), Organizational Behavior and Human Resource Management (336 citations) and Management Information Systems (168 citations). Jay M. Shafritz has collaborated with scholars based in United States. Frequent co-authors include Albert C. Hyde, Christopher P. Borick, J. Steven Ott, David H. Rosenbloom, Peter Madsen, Phil Williams, Thomas H. Patten, Bernard F. Lentz, Ralph Kramer and Lester M. Salamon. Their work appears in journals such as American Political Science Review, Public Administration Review and Industrial and Labor Relations Review.

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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