Work

Challenges, experiments, and computational solutions in peer review

Year: 2022

Type: article

Abstract: Improving the peer review process in a scientific manner shows promise.

Source: Communications of the ACM

DOI: 10.1145/3528086

Author: Nihar B. Shah

Institution: Carnegie Mellon University

Language: English

Topic: Publishing and Scholarly Communication

Subfield: Library and Information Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

Funder: National Science Foundation

Award: CAREER: Fundamentals of Learning from People with Applications to Peer Review

OpenAlex ID: W4281392565

FWCI: 18.65

Cites: 20

Cited by: 84

Related to: 10