Michael Pacanowsky

1.5k citations
15 papers · 932 · h-index 11

Impact in

Papers in

Michael Pacanowsky

14 papers receiving 790 citations

Peers

Michael Pacanowsky
Comparison fields: 5 of 84
  • Organizational Behavior and Human Resource Management 436
  • Communication 250
  • Social Psychology 212
  • Public Administration 34
  • Gender Studies 80
Replace Phillip K. Tompkins with:
Phillip K. Tompkins United States
William I. Gorden United States
Charles Conrad United States
Linda A. Krefting United States
Kim Giffin United States
Boris H. J. M. Brummans Canada
Kenwyn K. Smith United States
Vincent Hazleton United States
David Grant United Kingdom
Christine Coupland United Kingdom
Michael Pacanowsky relative to Phillip K. Tompkins United States Phillip K. Tompkins's profile →
Citations per field
00.5×1.5×
Phillip K. Tompkins · 1×
Citations per year

Countries citing papers authored by Michael Pacanowsky

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pacanowsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Pacanowsky. 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 Michael Pacanowsky. The network helps show where Michael Pacanowsky may publish in the future.

Co-authors

The 8 scholars most cited alongside Michael Pacanowsky, 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 Michael Pacanowsky Line = papers co-authored together Michael Pacanowsky links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1985324
2 1983187
3 1982174
4 199555
5 198850
6 199649
7 198325
8 199319
9 198814
10 198513
11 198213
12 19854
13 19823
14 19742
15 19780

About Michael Pacanowsky

Michael Pacanowsky is a scholar working on Organizational Behavior and Human Resource Management, Literature and Literary Theory, Communication, Sociology and Political Science and Experimental and Cognitive Psychology, having authored 15 papers that have together received 932 indexed citations. Recurring topics across this work include Management and Organizational Studies (5 papers), Discourse Analysis in Language Studies (2 papers), Language, Metaphor, and Cognition (2 papers), Gender, Feminism, and Media (1 paper), Organizational Learning and Leadership (1 paper), Team Dynamics and Performance (1 paper), Publishing and Scholarly Communication (1 paper) and Digital Humanities and Scholarship (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (436 citations), Communication (250 citations), Social Psychology (212 citations), Public Administration (34 citations) and Gender Studies (80 citations). Michael Pacanowsky has collaborated with scholars based in United States. Frequent co-authors include Nick O'Donnell‐Trujillo, Linda L. Putnam, Linda A. Krefting, Karen Lee Ashcraft, James A. Anderson, James R. Barker, Robert E. Wood and Richard V. Farace. Their work appears in journals such as Administrative Science Quarterly, Journal of Applied Communication Research, Annals of the International Communication Association, Communication Monographs and Quarterly Journal of Speech.

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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