ASReview vs Bibliometrix
ASReview
asreview.nlBibliometrix
bibliometrix.orgSide by side
| Figure | ASReview | Bibliometrix |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 2 | 1 |
| Spec score · Literature Review Software | 9.1 (#1) | 8.4 (#4) |
| Headquarters | Utrecht, Netherlands | Naples, Italy |
| Purpose | ASReview uses AI-aided active learning to prioritize records for systematic review screening while keeping a human screener in the decision loop. | Bibliometrix is an open-source tool for quantitative research in scientometrics and bibliometrics. |
Plans
In their own words
ASReview
ASReview is a free, open-source tool that uses AI-aided active learning to prioritize records for systematic review screening, with a human making screening decisions. Its site says the approach can reduce screening workload by up to 95%. Users can simulate AI-aided review to compare models, while Crowdscreen supports parallel screening with access managed by administrators through a private login system. The described model families are ELAS-Ultra, ELAS-Heavy, and language-agnostic ELAS-L; ELAS-Heavy and ELAS-L require the Dory package. ASReview works with reference managers including EndNote and PubMed, and imports and exports CSV, RIS, and XLSX files. Documentation includes a Python API, while the institutional workflow also describes a REST API and CLI for automation. In a local setup, data stays on the user's computer; server deployments keep it in the organization's environment and follow its policies. Support includes documentation, tutorials, videos, community discussion, and organizational workshops and consultancy. ASReview LAB costs nothing with no licensing fees or subscriptions, though running hardware or a server may incur costs.
Bibliometrix
Bibliometrix is an open-source R tool for quantitative scientometric and bibliometric research. Its analyses include descriptive statistics, co-citation, co-authorship, keyword co-occurrence, thematic mapping, and historiographic networks. It works with bibliographic files from Web of Science, Scopus, Dimensions, The Lens, PubMed, and the Cochrane Library; companion R packages add API support for Dimensions, NCBI PubMed, and Scopus. Biblioshiny provides a web interface for people without coding or R knowledge, while the package can also work with other statistical R packages. Biblioverse packages extend the system from data collection to text and content analysis. The openalexR package can bring publication, author, institution, and concept metadata from OpenAlex into bibliometrix structures. Using bibliometrix or biblioshiny requires R. Stable releases are distributed through CRAN, while a daily-updated GitHub beta may contain minor bugs. PubMed exports lack citation and reference-list metadata, preventing citation, bibliographic coupling, and co-citation links. Web of Science and Scopus service access requires a subscription.