Scholar Ranking 2023: Ranking of Computer Science Departments Based on Faculty Citations

TL;DR

Scholar Ranking 2023 introduces a citation-based ranking of U.S. computer science departments, utilizing faculty publication data and a new metric called t10 to assess research impact.

Contribution

This work presents a novel ranking method based on faculty citation metrics, specifically the t10 index, and models it to align with established U.S. News rankings.

Findings

The ranking correlates with U.S. News scores.

The t10 index effectively measures faculty research impact.

The model provides a transparent, citation-based department ranking.

Abstract

Scholar Ranking 2023 is the second edition of U.S. Computer Science (CS) departments ranking based on faculty citation measures. Using Google Scholar, we gathered data about publication citations for 5,574 tenure-track faculty from 185 U.S. universities. For each faculty, we extracted their t10 index, defined as the number of citations received by their 10th highest cited paper. For each department, we calculated four quality metrics: median t10 (m10), the geometric mean of t10 (g10), and the number of well-cited faculty with t10 above 40% (c40) and 60% (c60) of the national average. We fitted a linear regression model using those four measures to match the 2022 U.S. News ranking scores of CS doctoral programs. The resulting model provides Scholar Ranking 2023, which can be found at https://chi.temple.edu/csranking.