Research Impact & Bibliometric Indicators
Research impact and bibliometric indicators are the quantitative measures built on top of the citation databases and discovery tools covered elsewhere in this cluster. This sub-cluster separates two distinct families of indicator, following the distinction formalized by NISO's Alternative Assessment Metrics (Altmetrics) Initiative and its recommended practice RP-25-2016: traditional citation-based bibliometrics — citation counts, journal impact factors, h-index and its variants — and newer "altmetric" indicators that track attention outside the formal citation record, such as mentions in policy documents, news coverage, social media discussion, and data or software reuse. Pages here explain how each indicator is calculated, what it is intended to measure, and — importantly — its known limitations: citation-based metrics accumulate slowly and vary widely by discipline and publication type, while altmetric indicators capture attention rather than quality and can be skewed by factors unrelated to research merit. Research administrators encounter these indicators most often in tenure and promotion dossiers, grant-application track-record sections, and institutional research-assessment exercises, where the choice of indicator — and disclosure of its limitations — can materially affect how a case is evaluated. This sub-cluster is scoped specifically to the indicators themselves and the standards work around measuring and reporting them responsibly, rather than to the underlying databases (covered under citation databases and discovery tools) or the identifier infrastructure that makes attribution possible in the first place (covered under persistent identifiers).
Guides
Highly Cited Researchers: How Clarivate Selects the List
How Clarivate builds its annual Highly Cited Researchers list from ESI’s top-1% citation threshold, refines it with qualitative review, and what is and isn’t publicly documented about its exclusion criteria.
U-Multirank: The Non-League-Table Alternative
U-Multirank is the European Commission-funded ranking tool that refuses to produce an overall score. Here is how its five-dimension, user-driven design differs from QS, THE, and ARWU, and when it is actually the better instrument to cite.
How Times Higher Education Calculates Its World University Rankings
Times Higher Education scores universities across five weighted pillars and 18 indicators. Here is the exact pillar breakdown, which indicators are inside each, and what actually moves a rank.
How the QS World University Rankings Are Actually Calculated
QS scores every institution on nine indicators, but reputation surveys alone account for 45% of the total. Here is the exact weighting breakdown, how each input is sourced, and what actually moves a rank.
Field-Weighted Citation Impact: Reading and Reporting the Number
How to read an FWCI figure correctly wherever you find it — SciVal, a CRIS export, a grant report — and how to report it responsibly, with the self-citation, denominator and sample-size checks most readers miss.
Essential Science Indicators (ESI): Fields, Citation Thresholds, Research Fronts and Hot Papers
Essential Science Indicators benchmarks Web of Science papers against 22 field-and-year cohorts. How the top 1% highly cited and top 0.1% hot paper thresholds are recomputed at every bimonthly update, how the 10-year rolling window really moves, and how research fronts are built by co-citation clustering.
How Many Citations Is Actually Good?
A citation count only means something once you fix field, time since publication, document type and database. This guide explains why no raw number is universally “good,” and how field-normalized metrics like FWCI, CNCI, MNCS and RCR give a defensible answer instead.
MyRA (Malaysia Research Assessment Instrument): What It Measures and How Malaysian Universities Are Ranked
MyRA is Malaysia’s national instrument for assessing university research performance. Here is what it measures, how the 6-star rating works, and how it relates to Research University status.
CWTS Leiden Ranking and the Leiden Manifesto: Methodology for Responsible University Research Assessment
The CWTS Leiden Ranking is a computed bibliometric university ranking; the Leiden Manifesto is a 10-principle methodology statement about using metrics like it responsibly. This guide covers both, how they relate to DORA and CoARA, and how to cite ranking data responsibly in research administration.
Is Web of Science Citation Data Reliable for Research Assessment?
Web of Science citation data is curated and historically deep, but has documented coverage gaps by discipline, language, and document type, and counts every citation identically regardless of context. Here is what it measures, what it misses, and how to use it responsibly.
How to Calculate the h-Index: Step-by-Step With a Worked Example
A practical, step-by-step guide to calculating the h-index by hand, with a worked numeric example and an explanation of why Google Scholar, Scopus, and Web of Science produce different h-index values for the same researcher.
Web of Science Citation Report: What It Measures and How to Read It
How the Web of Science Citation Report aggregates citation metrics (h-index, citations per year, average citations per item) across a search result set, how to generate one, and how it differs from Journal Citation Reports.
