In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy

Kyeongan Kwon

will defend his dissertation proposal

Data Visualization Methods for Scientific Careers

Abstract

Evaluation of scholarly achievements in academia is largely based on the researcher's publication record. This record is communicated in exhaustive detail in the researcher's curriculum vitae (CV) or in summary via her/his h-index. The h-index, although a convenient abstraction, considers neither the time of the publication nor the impact factor (IF) of the journal where it appeared. In this proposal, I propose a novel method that visually complements the h-index, revealing at a glance the nature of a researcher's scholastic record. This method (aka Scholar Plot) is particularly appropriate for web interfaces, as it produces information that is compact and simple, yet highly illuminating. The method uses Google Scholar, Impact Factor and NSF/NIH/NASA Funding data to create a temporal representation of a researcher's publication/funding record that blends publication prestige with paper popularity and funding information. Scholar Plot aids to obtain an insightful appraisal of academics at one's fingertips.

Date: Friday, February 26, 2016
Time: 11:00 AM
Place: HSBC 302
Advisor: Dr. Ioannis Pavlidis

Faculty, students, and the general public are invited.