Increasing Productivity through Performance Appraisal

545 indexed citations
published 1981
Journal
Public Productivity Review

In The Last Decade

doi.org/10.2307/3380304 →

Countries where authors are citing Increasing Productivity through Performance Appraisal

Specialization
Citations

This map shows the geographic impact of Increasing Productivity through Performance Appraisal. 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 Increasing Productivity through Performance Appraisal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Increasing Productivity through Performance Appraisal more than expected).

Fields of papers citing Increasing Productivity through Performance Appraisal

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Increasing Productivity through Performance Appraisal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Increasing Productivity through Performance Appraisal.

About Increasing Productivity through Performance Appraisal

This paper, published in 1981, received 545 indexed citations . Written by Gary P. Latham and Kenneth N. Wexley. It is primarily cited by scholars working on Organizational Behavior and Human Resource Management (233 citations), Social Psychology (109 citations) and Applied Psychology (93 citations). Published in Public Productivity 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.

This paper is also available at doi.org/10.2307/3380304.

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