Do universities or research institutions with a specific subject profile have an advantage or a disadvantage in institutional rankings? is a research paper published in Journal of the American Society for Information Science and Technology (2013). On theSindex it has a DataRank of 2.1. It has been cited 46 times, with 30 citing works in its 1-hop citation network.
Using data compiled for the SCImago Institutions Ranking, we look at whether the subject area type an institution (university or research‐focused institution) belongs to (in terms of the fields researched) has an influence on its ranking position. We used latent class analysis to categorize institutions based on their publications in certain subject areas. Even though this categorization does not relate directly to scientific performance, our results show that it exercises an important influence on the outcome of a performance measurement: Certain subject area types of institutions have an advantage in the ranking positions when compared with others. This advantage manifests itself not only when performance is measured with an indicator that is not field‐normalized but also for indicators that are field‐normalized.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.578
From this paper's citation signal
Citation Network Contribution
1.5
From 27 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 28% comes from its base citations and 72% from the citation network (27 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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