Research Productivity Ranking | Sports Innovation Project

Sport Management Research contribution Ranking.

Published annually by the Sports Innovation Project, the contribution ranking is a quantitative indication of how academic programs from around the world contribute to the scholarly discourse in the field of sport management. The results are provided so faculty and program administrators can easily and quickly compare and convey scholarly performance in the field’s three (3) marquee journals.

The Ranking criteria.

The following criteria were used for this 2022 preliminary ranking:

Publications are limited to three ABDC “A” journals in the field of sport management: (1) Journal of Sport Management, (2) European Sport Management Quarterly, and (3) Sport Management Review. These journals are the official publications of the three leading sport management academies in the world: The North American Society of Sport Management, the European Association for Sport Management, and the Sport Management Association of Australia and New Zealand.
The time-period for inclusion is limited to the decade preceding the evaluation year. For example, the 2022 ranking contains publication data from 2011 to 2021.
The program ranking is limited to those programs with two (2) faculty who have at least five (5) total publications over the ranking time period of -10 years.

The Rankings.

For this year's ranking, 38 sport management programs from around the world met the inclusion criteria, which included: 20 USA-based programs, 7 Australia-based programs, 4 Canada-based programs, 3 UK-based programs, and 1 program (respectively) in Germany, Belgium, Greece and New Zealand.

In total, 52 sport management scholars contributed to the ranking, which included 26 based in the United States, 12 in Australia, 6 in Canada, 2 in Germany, Belgium and the UK (respectively), and 1 in Korea and New Zealand (respectively). Temple University was the most listed program with 5 scholars, followed by Griffith University with 4 scholars, and Texas A&M with 3 scholars.

Individual Scholar Ranking file.

Data Collection.

Downloaded RIS entries from EBSCO.

Searched on EBSCO's SPORTDiscus database for each of the journals individually (e.g., << JN "Journal of Sport Management" >>). This returns all the articles in EBSCO's system.
Download a file with RIS entries for each article.

Used python script to create a CSV with article components.

Using the RISPy package in python, we separated the RIS entries with each downloaded file, and parsed each entry into its various components (e.g., authors, title, etc.).
Created a dataframe with the author data.
Output the data to a CSV.

Created Excel file.

Used Power Query to read the CSV file into Excel.
Created tables for authors and articles. Overwrite author names with manual changes detailed on the AuthorNameMap and ArticleOverride tabs.
Built pivot table to summary author data.