Dietmar Wolfram

Senior Associate Dean & Professor


Ph.D., Library and Information Science, University of Western Ontario
M.L.I.S. University of Western Ontario
B.Sc. History of Science and Computer Science, University of Western Ontario


Dietmar Wolfram is a professor at the School of Information Studies, University of Wisconsin-Milwaukee (UWM). He completed a PhD in Library and Information Science at the University of Western Ontario prior to joining UWM in 1990. He teaches courses in information science, information retrieval, and research methods. Dr. Wolfram’s research interests include Applied Bibliometrics/Informetrics & Scholarly Communication; Information Retrieval Systems Design and Evaluation; Modeling and Simulation of Information Retrieval Systems; User Studies. His work has been funded by OCLC, University of Wisconsin System, U.S. Department of Education, Wisconsin Department of Public Instruction, Thomson Reuters, and the Institute for Museum and Library Services. Prof. Wolfram’s publications have appeared in Information Processing & Management,Journal of Documentation, Journal of Information Science, Journal of Informetrics, Journal of the American Society for Information Science and Technology, Online Information Review, and Scientometrics, among others.

Courses Taught

501 Foundations of Library and Information Science
591 Introduction to Research Methods in Library and Information Science
782 Information Systems: Analysis and Design
901 Doctoral Seminar in Information Studies
970 Doctoral Seminar in Information Retrieval

Sample Publications

Wolfram, D. (2003). Applied informetrics for information retrieval research. Westport, CT: Libraries Unlimited.

Wolfram, D. (2009). Clustering for post-hoc information retrieval. In Encyclopedia of Database Systems. New York: Springer.

Xie, I., & Wolfram, D. (2009). A longitudinal study of database usage within a general audience digital library. Journal of Digital Information. 10(4).

Wolfram, D., Olson, H.A., & Bloom, R. (2009). Measuring consistency for multiple taggers using vector space modeling. Journal of the American Society for Information Science and Technology, 60(10), 1550-1571.