Free Scopus Data Extraction || Publish or Perish Software || Scopus API key Integration

Scopus data can be pulled into Publish or Perish without manual copying—by generating a Scopus API key, integrating it inside Publish or Perish, and then running both author/publication lookups and keyword-based document searches. The payoff is a structured export of citation metrics (including h-index and g-index) plus publication metadata, delivered in downloadable formats like CSV, so researchers can build literature reviews or evaluate scholarly output even when Scopus full access is limited.

The workflow starts with Publish or Perish’s interface, where users select Scopus as the data source and choose identifiers such as Scopus ID and ORCID ID (ORCID can be used for integration). Publish or Perish then prompts for an API key—because Scopus access for automated extraction requires API authentication. That key is obtained from Elsevier’s developer platform: users register, log in, generate a free API key, and copy it back into Publish or Perish. Once the key is accepted, Publish or Perish begins extracting results tied to Scopus author identifiers.

After integration, the software produces citation metrics and publication lists in two main modes. In the basic search flow, it returns author-level output arranged by publication details such as first/last author names, year, and a set of indices. The transcript highlights that h-index and g-index appear in the generated matrices, along with other index-related parameters relevant to citation impact. Users can then save results and download them in multiple formats, including CSV and “.bibtex” style outputs (the transcript mentions CSV and a BibTeX-like download option), which helps with downstream analysis and reference management.

An extended search adds richer metadata per record: paper titles, author names, journal or source information, site scores, DOI links, and other bibliographic fields such as volume and issue. The export is positioned as practical for researchers who need structured datasets for analysis rather than just a list of papers.

The second major capability is document search for literature review workflows. Users run a new Scopus query using keywords (the transcript references an example keyword like “ECG signal analysis”), then export matching records. Even when full-text access is unavailable, the approach still supports progress: abstracts and related URLs can be used to refine inclusion/exclusion criteria, and individual record pages can provide enough bibliographic detail to support screening and synthesis. The transcript also notes that users can refine searches by setting inclusion/exclusion parameters (including selecting ranges like 20–30 or 50 documents) and then export the results for writing.

Finally, the transcript frames the method as an alternative route to reach conclusions without being blocked by paywalled full-text access: citation metrics and bibliographic metadata are extracted via API, then used to build a review dataset and support research decisions. It also suggests that Publish or Perish can be configured for other sources (e.g., Semantic Scholar, Web of Science) if additional videos or integrations are followed, but the core focus remains Scopus API key integration for automated extraction and export.