Harle, Christopher A.Vest, Joshua R.Menachemi, Nir2018-08-162018-08-162016-03Harle, C. A., Vest, J. R., & Menachemi, N. (2016). Using Bibliometric Big Data to Analyze Faculty Research Productivity in Health Policy and Management. The Journal of Health Administration Education; Arlington, 33(2), 285–293.https://hdl.handle.net/1805/17166Bibliometric big data and social media tools provide new opportunities to aggregate and analyze researchers' scholarly impact. The purpose of the current paper is to describe the process and results we obtained after aggregating a list of public Google Scholar profiles representing researchers in Health Policy and Management or closely-related disciplines. We extracted publication and citation data on 191 researchers affiliated with health administration programs in the U.S. With these data, we created a publicly available listing of faculty that includes each person's name, affiliation, year of first citation, total citations, h-index, and i-10 index. The median of total citations per individual faculty member was 700, while the maximum was 46,363. The median h-index was 13, while the maximum was 91. We plan to update these statistics and add new faculty to our public listing as new Google Scholar profiles are created by faculty members in the field. This listing provides a resource for students and faculty in our discipline to easily compare productivity and publication records of faculty members in their own and other departments. Similarly, this listing provides a resource for faculty, including department chairs and deans, who desire discipline-specific context for promotion and tenure processes.enPublisher Policybig datafaculty productivitybibliometricsArticle