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New algorithm aids reviewer discovery by matching publications

By PulseAugur Editorial · [1 sources] ·

A new open-source algorithm called Retrieve-then-Disambiguate has been developed to address the growing challenge of identifying suitable researchers for scientific peer review. This algorithm frames reviewer discovery as a retrieval problem, identifying relevant researchers by finding similar publications and resolving ambiguous author names into unique identities. When tested on astronomy and physics publications, the algorithm successfully recovered a significant percentage of first authors, coauthors, and cited researchers. AI

IMPACT Could streamline the peer review process by improving reviewer identification.

RANK_REASON The item is a research paper published on arXiv detailing a new algorithm. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New algorithm aids reviewer discovery by matching publications

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The item is a research paper published on arXiv detailing a new algorithm. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Wolfgang E. Kerzendorf ·

    Retrieve-then-Disambiguate: Scalable Reviewer Discovery

    The growing number of scientific submissions is straining the peer review process, while a large pool of relevant researchers remains unidentified and is therefore not considered as potential reviewers. We formulate the discovery of these researchers as a retrieval problem: given…

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