Heading Towards Sub-Discipline Rankings for Higher Education Institutions

Muhammad Sajid Qureshi · Ali Daud · Malik Khizar Hayat · Min Song · Yejin Park

11 citations0/0 files storedIEEE Transactions on Computational Social Systems

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

scientometrics and bibliometrics research Higher Education Governance and Development Web visibility and informetrics

Abstract

Although the system for annual rankings of higher education institutions (HEIs) faces considerable criticism, these rankings are here to stay. Having become competent in assigning holistic ranking scores to HEIs, reputed ranking entities have now started focusing on subject-specific and regional rankings. However, in experts’ opinion, the process of assigning rankings should be more consistent, transparent, and representative. This study focuses on enhancing the credibility of the academic ranking process, by performing fine-grained assessment of the academic data pertaining to the computing discipline. The proposed assessment approach explores the data at the sub-discipline level, analyzing several ranking dimensions, including the research productivity, research impact, and research contribution of influential research scholars affiliated with renowned HEIs in the computing discipline. The analysis considers highly curated data published by three well-known international academic ranking entities, namely, Academic Rankings of World Universities (ARWU), Quacquarelli Symonds (QS), and Times Higher Education (THE), in 2018, 2019, and 2020, respectively. Researchers’ profiles are obtained from the Scopus repository, and the DBpedia repository is used to retrieve information about HEIs and their locations. For a stable comparison of the subject-specific academic rankings, the grand average rank measure is employed, whereas for finding the most influential researchers in computing, the ResRank measure is used. The sub-discipline-specific academic rankings provide more detailed insight into the academic rankings, thereby providing more robust decision support. This analysis, which focuses on the computing sub-discipline, is among the first few such efforts.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 11 citations exist upstream.

References

2020Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies 2019A standardized citation metrics author database annotated for scientific field 2020Updated science-wide author databases of standardized citation indicators 2016Is measuring the knowledge creation of universities possible?: A review of university rankings 2020Comparison of bibliographic data sources: Implications for the robustness of university rankings n.d.Measuring the academic reputation through citation networks via PageRank 2020A longitudinal analysis of university rankings 2020Evaluating the impact of open access policies on research institutions

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.