May Kim

52 papers receiving 810 citations

Peers

May Kim
Comparison fields: 5 of 89
  • Sociology and Political Science 564
  • Gender Studies 116
  • Organizational Behavior and Human Resource Management 127
  • Social Psychology 232
  • Issues, ethics and legal aspects 13
Replace Luca Caricati with:
Luca Caricati Italy
Lisa A. Marchiondo United States
Sarah Damaske United States
Karran Thorpe Canada
Ernest Chui Hong Kong
Amanda J. Koch United States
Amy Chan Hyung Kim United States
Donna S. Lero Canada
Maureen Crowley United States
Nilton Soares Formiga Brazil
May Kim relative to Luca Caricati Italy Luca Caricati's profile →
Citations per field
00.5×1.5×2.2×
Luca Caricati · 1×
Citations per year

Countries citing papers authored by May Kim

Since Specialization
Citations

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

Fields of papers citing papers by May Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200795
2 201189
3
An Empirical Investigation of Student Achievement and Satisfaction in Different Learning Environments.
200873
4 200958
5 200957
6 201248
7 201037
8 201037
9 201033
10 200232
11 201130
12 201530
13 201525
14 201823
15 201022
16 201617
17 201615
18 201615
19 200915
20 201314

About May Kim

May Kim is a scholar working on Safety Research, Social Psychology, Issues, ethics and legal aspects, Sociology and Political Science and Tourism, Leisure and Hospitality Management, having authored 64 papers that have together received 910 indexed citations. Recurring topics across this work include Nonprofit Sector and Volunteering (14 papers), Diverse Approaches in Healthcare and Education Studies (10 papers), Sport and Mega-Event Impacts (8 papers), Psychosocial Factors Impacting Youth (7 papers), Motivation and Self-Concept in Sports (6 papers), Recreation, Leisure, Wilderness Management (6 papers), Education and Learning Interventions (5 papers) and Racial and Ethnic Identity Research (5 papers). The work is most often cited by research in Sociology and Political Science (564 citations), Gender Studies (116 citations), Organizational Behavior and Human Resource Management (127 citations), Social Psychology (232 citations) and Issues, ethics and legal aspects (13 citations). May Kim has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Galen T. Trail, Daniel P. Connaughton, Junhyoung Kim, Irene J. K. Park, James J. Zhang, Packianathan Chelladurai, Areum Han, Se-Hyuk Park, Yong Jae Ko and Jeoung Hak Lee. Their work appears in journals such as International Journal of Qualitative Studies on Health and Well-Being, Health Care For Women International, Journal of Sport Management, European Sport Management Quarterly and Journal of Humanistic Psychology.

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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