Bibliometrix vs LASER AI
Bibliometrix
bibliometrix.orgLASER AI
laser.aiSide by side
| Figure | Bibliometrix | LASER AI |
|---|---|---|
| Price from | Free | $250/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | — |
| Plans published | 1 | 3 |
| Spec score · Literature Review Software | 8.4 (#4) | 8.7 (#2) |
| Purpose | Bibliometrix is an open-source tool for quantitative research in scientometrics and bibliometrics. | LASER AI is an AI-supported platform for accelerating literature reviews and evidence synthesis. |
Plans
LASER AI
- Per project$3,000, paid once
- Per user$3,000 a year
- EnterprisePriced on request
In their own words
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.