SciVal is Elsevier’s Scopus-based platform for benchmarking research output; the CWTS Leiden Ranking is Leiden University’s field-normalised ranking that deliberately avoids one composite score. Institutions increasingly run both together, but DORA warns that any league-table framing can reduce research quality to a single misleading number.
SciVal bibliometrics refers to the citation and output metrics — including Field-Weighted Citation Impact (FWCI) — that Elsevier’s SciVal platform generates from Scopus data to support institutional research evaluation. Research offices now routinely pair this proprietary layer with the CWTS Leiden Ranking’s open, transparent indicators, creating a benchmarking workflow that sits in direct tension with the San Francisco Declaration on Research Assessment (DORA).
- What is SciVal and what does it measure?
- How does the CWTS Leiden Ranking differ from SciVal?
- Why does DORA caution against benchmarking with league tables?
- How are research offices combining SciVal and Leiden in practice?
- What does the OpenAlex-based Leiden Ranking Open Edition change?
- Common questions about SciVal bibliometrics
- What this means for research administrators
- Where institutional benchmarking is heading
What is SciVal and what does it measure?
SciVal is Elsevier’s research-analytics platform, built on Scopus abstract-and-citation data, that lets subscriber institutions benchmark output, impact, and collaboration against named peer groups. It does not produce publicly indexed rankings; access is by institutional subscription, and outputs are configured per user for internal decision-making rather than public comparison.
Core SciVal modules include:
- Overview — publication and citation summaries for an entity over time
- Benchmarking — side-by-side comparison against selected competitor or aspirational institutions
- Collaboration — network maps of co-authorship at institutional, national, and international level
- Trends — topic-level growth signals used for strategic investment decisions
Its signature indicator is Field-Weighted Citation Impact (FWCI), the ratio of citations a set of publications actually received to the citations expected for publications of the same type, year, and subject field. A FWCI of 1.0 represents the world average for that field; values above 1.0 indicate above-average citation impact.
How does the CWTS Leiden Ranking differ from SciVal?
The CWTS Leiden Ranking, produced annually since 2007 by the Centre for Science and Technology Studies at Leiden University, is a free, publicly available ranking that explicitly refuses to combine indicators into one overall score. Instead it publishes separate, field-normalised tables — including MNCS (mean normalised citation score) and PP(top 10%), the proportion of an institution’s output among the world’s most-cited 10% of papers in its field.
Where SciVal is a private diagnostic tool tuned to whatever comparator group an institution chooses, the Leiden Ranking is a public, methodologically documented instrument built for cross-institutional transparency. The distinction matters for governance: SciVal data informs internal strategy conversations, while Leiden Ranking data is citable externally by journalists, funders, and prospective students.
| Dimension | SciVal | CWTS Leiden Ranking |
|---|---|---|
| Underlying data source | Scopus | Web of Science (Classic edition) or OpenAlex (Open Edition) |
| Access model | Institutional subscription | Free and publicly browsable |
| Composite score | Configurable dashboards, no single mandated score | Explicitly none — indicators kept separate by design |
| Level of analysis | Author, department, institution, custom groups | Institution-level only |
| Signature indicator | Field-Weighted Citation Impact (FWCI) | MNCS and PP(top 10%) |
| Governing body | Elsevier (commercial) | CWTS, Leiden University (academic) |
Why does DORA caution against benchmarking with league tables?
DORA, the San Francisco Declaration on Research Assessment published in 2012, calls on institutions to stop using journal- and rank-based proxies as substitutes for assessing the actual content of research. Its core recommendation is definitive: evaluators must not treat a journal impact factor, or by extension a university’s league-table position, as a surrogate measure of the quality of an individual researcher’s contribution.
The UK’s Research Excellence Framework reinforces the same principle domestically — REF guidance instructs assessment panels not to rely on journal impact factors or bibliometric rankings when judging individual outputs. A single Leiden Ranking position or SciVal FWCI score, DORA argues, compresses genuinely multidimensional research performance into one figure that is easy to misuse in hiring, promotion, and funding decisions.
How are research offices combining SciVal and Leiden in practice?
A DORA-conscious workflow uses SciVal for granular internal diagnostics and the Leiden Ranking for transparent, external context — never letting either stand alone as a judgement on individual quality. In practice this looks like a two-stage process rather than a single dashboard export.
- Research offices first use SciVal to identify departmental strengths, emerging topics, and collaboration gaps against a self-selected comparator set.
- They then check institutional standing against the Leiden Ranking’s published, field-normalised indicators to see how that internal picture holds up against an independently governed, public dataset.
- Neither output is applied directly to an individual researcher’s promotion or tenure case, consistent with DORA’s requirement that assessment be based on the substance of the work.
This “basket of metrics” approach — pairing a proprietary analytics tool with an open, non-composite ranking — is increasingly the model that DORA-signatory universities describe in their own research-assessment policies.
What does the OpenAlex-based Leiden Ranking Open Edition change?
Since 2023, CWTS has published a Leiden Ranking Open Edition built entirely on OpenAlex data, run alongside the long-standing Web of Science-based Classic edition. OpenAlex, launched by OurResearch in 2022 as a free successor to the discontinued Microsoft Academic Graph, indexes a broader and more open set of scholarly outputs than either Scopus or Web of Science.
Because the Open Edition and Classic edition draw on different underlying databases, the same institution can show a materially different position depending on which edition is consulted — a fact rarely mentioned in library guidance on SciVal or Leiden alone. This is itself a practical argument for DORA’s caution: even among ostensibly objective, field-normalised rankings, the choice of data source alone can shift an institution’s apparent standing, before any interpretive judgement is applied.
Common questions about SciVal bibliometrics
Is SciVal the same as Scopus?
No. Scopus is Elsevier’s underlying abstract-and-citation database; SciVal is a separate analytics layer built on top of Scopus data. Scopus supplies the raw publication and citation records, while SciVal turns them into benchmarking dashboards, Field-Weighted Citation Impact scores, collaboration maps, and trend reports for institutions and funders.
What is SciVal used for?
Research offices use SciVal to benchmark departments against named peers, track Field-Weighted Citation Impact and output trends, identify emerging research strengths, map collaboration networks, and build evidence for grant applications — functions distinct from external, public rankings such as the Leiden Ranking.
What are the limitations of SciVal?
SciVal’s field-normalisation depends on how Scopus classifies each publication’s subject field, which can misclassify interdisciplinary work. Coverage is limited to Scopus-indexed output, under-representing books and some social-science and humanities journals — a gap DORA cites when warning against treating any single metric as definitive.
What metrics does SciVal provide?
Core SciVal indicators include Scholarly Output, Citation Count, Field-Weighted Citation Impact (world average equals 1.0), Outputs in Top Citation Percentiles, and Collaboration metrics. These sit alongside Leiden-style indicators such as MNCS and PP(top 10%) used for external, field-normalised comparison.
What this means for research administrators
For research administration teams, the practical guidance is to treat SciVal and the Leiden Ranking as complementary diagnostic inputs, not verdicts. Any institutional report that cites either should disclose the comparator group, data source (Scopus, Web of Science, or OpenAlex), and the field-normalisation method applied, so that governance committees can judge the figures in context rather than as a rank alone.
Where SciVal or Leiden data feeds into funding, hiring, or strategic planning, DORA-aligned institutions pair the quantitative output with qualitative peer assessment — a practice increasingly documented in the research-assessment policies of DORA-signatory universities.
Where institutional benchmarking is heading
As open bibliographic sources such as OpenAlex mature alongside proprietary platforms, expect research offices to triangulate across multiple data sources rather than anchor decisions to one dashboard or one ranking position. The direction of travel — visible in the Leiden Ranking’s own move to publish a parallel OpenAlex edition — is toward more transparent, multi-source benchmarking, precisely the “basket of metrics” model DORA has argued for since 2012.
Research offices that document their methodology and keep SciVal, Leiden, and open datasets in dialogue with each other will be better placed to withstand scrutiny than those relying on any single proprietary score.