Mary E. Guy

3.1k citations
78 papers · 2.0k indexed · h-index 23

Mary E. Guy

73 papers receiving 1.8k citations

Peers

Mary E. Guy
Comparison fields: 5 of 120
  • Public Administration 485
  • Organizational Behavior and Human Resource Management 618
  • Gender Studies 534
  • Sociology and Political Science 1.1k
  • Life-span and Life-course Studies 13
Replace Sandra Groeneveld with:
Sandra Groeneveld Netherlands
Michàlle E. Mor Barak United States
Stephen Deery United Kingdom
T. Alexandra Beauregard United Kingdom
Yoon Jik Cho South Korea
Laura den Dulk Netherlands
Mike Noon United Kingdom
Alison Doherty Canada
John W. Budd United States
Erica Gabrielle Foldy United States
Mary E. Guy relative to Sandra Groeneveld Netherlands Sandra Groeneveld's profile →
Citations per field
00.5×6.5×
Sandra Groeneveld · 1×
Citations per year

Countries citing papers authored by Mary E. Guy

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Guy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary E. Guy. 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 Mary E. Guy. The network helps show where Mary E. Guy may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mary E. Guy, 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 Mary E. Guy Line = papers co-authored together Mary E. Guy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20241
4 20234
5 20234
6 20221
7 202013
8 20206
9 201917
10 20172
11 20162
12 20147
13 2014130
14 201312
15 201380
16 201030
17
A Retrospective Analysis of Scholarship on Gender and Diversity in Public Administration
20099
18 2008103
19 199035
20 19845

About Mary E. Guy

Mary E. Guy is a scholar working on Public Administration, Organizational Behavior and Human Resource Management, Gender Studies, General Psychology and Sociology and Political Science, having authored 78 papers that have together received 2.0k indexed citations. Recurring topics across this work include Emotional Labor in Professions (24 papers), Work-Family Balance Challenges (15 papers), Job Satisfaction and Organizational Behavior (13 papers), Public Policy and Administration Research (11 papers), Labor Movements and Unions (10 papers), Gender Diversity and Inequality (10 papers), Employment and Welfare Studies (8 papers) and Gender, Labor, and Family Dynamics (3 papers). The work is most often cited by research in Public Administration (485 citations), Organizational Behavior and Human Resource Management (618 citations), Gender Studies (534 citations), Sociology and Political Science (1.1k citations) and Life-span and Life-course Studies (13 citations). Mary E. Guy has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Meredith A. Newman, Sharon H. Mastracci, Sean McCandless, Seung‐Bum Yang, Chih‐Wei Hsieh, Hyun Jung Lee, Myung H. Jin, Cathy Johnson, Georgia Duerst-Lahti and Rita Mae Kelly. Their work appears in journals such as Public Administration Review, Review of Public Personnel Administration, Journal of Public Affairs Education, Public Personnel Management and Administrative Theory & Praxis.

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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