Reviewer Recommender

Reviewer Recommender is a Chrome extension developed by the Knowledge Engineering Group at Tsinghua University. It aids in recommending suitable reviewers for academic papers, enhancing the editorial process with smart suggestions.

Tags: Papers

Visit AI tool

What is Reviewer Recommender? The Reviewer Recommender extension automates the process of selecting suitable reviewers for academic papers. By analyzing the metadata of submissions and previous research, it efficiently matches manuscripts with the most qualified reviewers. This tool significantly enhances the workflow of editors by reducing time spent on reviewer selection while ensuring high-quality recommendations based on expertise and relevance. Who will use Reviewer Recommender? Academic journal editors Research paper authors Publishing professionals Conference organizers How to use the Reviewer Recommender? Step1: Install the Reviewer Recommender extension from the Chrome Web Store. Step2: Open the extension while logged into your review management system. Step3: Upload or input the manuscript details. Step4: Click on 'Recommend Reviewers' to generate a list of potential reviewers. Step5: Review the recommended list and select suitable candidates. Platform chrome

The Core Features of Reviewer Recommender Automatic reviewer selection Integration with existing review systems Analysis of reviewer expertise User-friendly interface The Benefits of Reviewer Recommender Saves time in the editorial process Improves the match between researchers and reviewers Enhances the quality of peer reviews Facilitates easier management of the review cycle Reviewer Recommender's Main Use Cases & Applications Selecting reviewers for academic journal submissions. Finding reviewers for conference papers. Automating the reviewer selection process in editorial workflows.

FAQs of Reviewer Recommender What is Reviewer Recommender? It is a tool that helps in selecting appropriate reviewers for academic papers. Who developed Reviewer Recommender? It was developed by the Knowledge Engineering Group at Tsinghua University. How does the extension work? It analyzes submission metadata to suggest qualified reviewers based on their expertise. Is the extension free to use? Yes, it is available for free on the Chrome Web Store. Can I use it for conference submissions? Yes, it's suitable for both journal and conference paper submissions. Does it support integration with editorial systems? Yes, it integrates seamlessly with various review management systems. What platforms does it support? Currently, it only supports the Chrome platform. Will it replace manual reviewer selection? It is designed to assist in the process, not replace manual oversight. Can I customize the recommendations? The recommendations are based on metadata analysis and are not customizable. How do I get support for the extension? For support, you can reach out via email to the developers.

Papers

Contact: [email protected]

Related AI Tools:

秘塔AI
Virbo
Minimemo
stablediffusion api
Master Cold Outreach with AI
Servant AI