Ryan K. Zapalac
- Sociology and Political Science top 10%
- Gender Studies top 5%
- Economics and Econometrics top 10%
- Social Psychology
- Marketing top 10%
- Co-authors
- Daniel L. WannFrederick G. GrieveDale G. PeaseJames J. ZhangJulie A. PartridgeCody T. HavardEddie T. C. LamBeth A. Cianfrone
- Topics
- Sports, Gender, and Society (11 papers)Sport and Mega-Event Impacts (9 papers)Sports Analytics and Performance (8 papers)
- Partner nations
- United StatesSwitzerlandMoldova
In The Last Decade
Ryan K. Zapalac
13 papers receiving 241 citations
Peers
Comparison fields: 5 of 37
- Sociology and Political Science 217
- Gender Studies 196
- Economics and Econometrics 92
- Social Psychology 47
- Marketing 46
Countries citing papers authored by Ryan K. Zapalac
This map shows the geographic impact of Ryan K. Zapalac'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 Ryan K. Zapalac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan K. Zapalac more than expected).
Fields of papers citing papers by Ryan K. Zapalac
This network shows the impact of papers produced by Ryan K. Zapalac. 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 Ryan K. Zapalac. The network helps show where Ryan K. Zapalac may publish in the future.
Co-authorship network of co-authors of Ryan K. Zapalac
This figure shows the co-authorship network connecting the top 25 collaborators of Ryan K. Zapalac. A scholar is included among the top collaborators of Ryan K. Zapalac 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 Ryan K. Zapalac. Ryan K. Zapalac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 4 | |
| 3 | 14 | |
| 4 | 9 | |
| 5 | 22 | |
| 6 | Examining the superstitions of sport fans: types of superstitions, perceptions of impact, and relationship with team identification. | 13 |
| 7 | An Examination of Predictors of Watching Televised Sport Programming | 6 |
| 8 | The importance of team identification in perceptions of trust of fellow and rival sport fans | 5 |
| 9 | 11 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 161 | |
| 14 | 0 |
About Ryan K. Zapalac
Ryan K. Zapalac is a scholar working on Gender Studies, Economics and Econometrics and Sociology and Political Science, having authored 14 papers that have together received 273 indexed citations. Recurring topics across this work include Sports, Gender, and Society (11 papers), Sport and Mega-Event Impacts (9 papers) and Sports Analytics and Performance (8 papers). The work is most often cited by research in Gender Studies (196 citations), Marketing (46 citations) and Sociology and Political Science (217 citations). Ryan K. Zapalac has collaborated with scholars based in United States, Switzerland and Moldova. Frequent co-authors include Daniel L. Wann, Frederick G. Grieve, Dale G. Pease, James J. Zhang, Julie A. Partridge, Cody T. Havard, Eddie T. C. Lam, Beth A. Cianfrone, Steven M. Holland and BRIAN J. FELLOWS. Their work appears in journals such as Journal of Consumer Marketing, The Sport Psychologist and Sport Management 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.