Reviewer Recommender is a Chrome extension that automates the process of finding suitable reviewers for research papers submitted through the ScholarOne platform. It uses academic data from Aminer to provide accurate and relevant reviewer suggestions, making the peer review process more efficient.
Reviewer Recommender is a research paper reviewer recommendation system developed by the Knowledge Engineering Group (KEG) at Tsinghua University. It is a Chrome extension that integrates with the ScholarOne Reviewer System, allowing users to automatically extract paper information and recommend suitable reviewers based on academic data from Aminer. This tool helps streamline the peer review process by leveraging a large academic database to find the most appropriate reviewers for submitted research papers.
A.Reviewer Recommender is a Chrome Extension developed by Knowledge Engineering Group (KEG), Tsinghua University, that recommends reviewers for research papers submitted through the ScholarOne system, using academic data from Aminer.
A.It automatically extracts paper information from ScholarOne and uses Aminer's database to suggest suitable reviewers based on their expertise and publication history.
A.Yes, Reviewer Recommender is available at no cost.
A.Reviewer Recommender works as a Chrome extension integrated with the ScholarOne Reviewer System.
A.It automates the reviewer selection process, leverages a large academic database for recommendations, and integrates directly into the ScholarOne workflow, saving time and effort.
