Now there’s a seamless process to help you find highly qualified subject experts to peer review your journal’s submissions. Thomson Reuters Reviewer Locator works by comparing new manuscript submissions against Web of Science™ Core Collection content to generate a list of experts as potential reviewers.
- Automated reviewer search reduces editor and administrator workload.
- Reviewer Locator widens the reviewer pool for a journal beyond existing known contacts.
- It helps prevent fraud by selecting authors with a known publication record in Web of Science.
- Reviewer Locator selects the most relevant reviewers, reducing the time in peer-review and the need to approach multiple reviewers before finding someone.
The foundation of Reviewer Locator is ATLAS, a Thomson Reuters proprietary platform for text analysis and entity mapping. This state-of-the-art-technology can ingest vast amounts of data from multiple sources and then locate, analyze and map the relationships between meaningful concepts.
ATLAS parses and extracts research metadata such as author names, title, abstract, keywords, and journal of publication from the Web of Science Core Collection. With the documents and their metadata in place, the next step is to build a fingerprint for the entities of interest in the data. A fingerprint is a complex map analyzing an entity’s relationship to other entities and metadata. Hence, the fingerprint of an author will reflect their research interests, the fingerprint of a journal will reflect its field and scope, and the fingerprint of a paper will reflect its most prominent topics and keywords.
THE POWER OF WEB OF SCIENCE CORE COLLECTION
State-of-the-art tools require robust datasets. Reviewer Locator is powered by our curated index of leading scholarly literature, the Web of Science Core Collection.
- Web of Science Core Collection covers over 12,000 of the highest impact journals worldwide, including Open Access journals and over 150,000 conference proceedings.
- Reviewer Locator links to Web of Science Core Collection result in a database of roughly 7.3 million.
- Email address and institutional affiliation are provided in reviewer results, when available, as well as the ORCID iD and a link to their ORCID record.
- Up to three papers published by the potential reviewer are provided with links to their DOI and Web of Science Core Collection record.
The ultimate goal of Reviewer Locator is to help editors find qualified reviewers more efficiently. This objective was at the front of our minds when designing how Review Locator would integrate with ScholarOne Manuscripts.
- Reviewer requests are generated automatically upon submission for each manuscript with an abstract. When the paper reaches reviewer selection, results are immediately available for the editor.
- Reviewer results are cleanly integrated into the existing “Select Reviewers” tab.
- Reviewer Locator can be configured to return up to 30 potential reviewers.
- Results appear in order of relevance as determined by the ATLAS search. As a result, Reviewer Locator fits easily into an editor’s existing workflow, providing a powerful tool to locate qualified reviewers without hassles or constraints.