AN ANALYSIS OF INFORMATION SYSTEMS RESEARCHER AND COLLABORATION RANKINGS

ABSTRACT

This paper investigates a career database with a ranking of researchers, over the time period 1960–2019 based on a composite measure of Scopus citations, using the H-index, H-M-index and other metrics. This paper drills down on those researchers for which information systems is characterized as their primary focus. In so doing we investigate issues, related to collaboration and other concerns. In addition, the paper compares that set of rankings to a set of rankings for information systems researchers based on Google Scholar H-index, which allows us to compare Scopus H-index, Scopus H-M index and other analytics for those researchers.

KEYWORDS:

• Researcher rankings
• H-index
• H-M-index
• ratio of H-index/H-M-index
• information systems
• author order

Acknowledgments

The author would like to thank Bradford Yager for analysis of portions of the data. The author would like to acknowledge the anonymous referee for their comments. Any errors remain the fault of the author. In addition, the author would like to thank Veda Storey for bringing this database to my attention. Finally, the author would like to acknowledge discussions with other faculty about this database.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Daniel E. O’Leary

Daniel E. O’Leary is a professor at the University of Southern California (USC), in the Marshall School of Business. He received his Ph.D. from Case Western Reserve University and his master’s degree in management science and statistics from the University of Michigan. Dan formerly worked with KPMG in their consulting practice. Professor O’Leary recently was named a Fulbright – Hays Scholar recipient and was a co-author on a paper that was named the winner of the 2020 Paul Gray “Thought Provoking” Paper award. Professor O’Leary’s book, Enterprise Resource Planning Systems book, published by Cambridge University Press has been translated into both Russian and Chinese.  Professor O’Leary’s research focuses primarily on the use of emerging technologies, big data and artificial intelligence in business.