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.
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.
Reviewer Recommender Product Information
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
Reviewer Recommender's Core Features & Benefits
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
Reviewer Recommender Company Information
- Website: NA
- Company Name: Knowledge Engineering Group, Tsinghua University
- Support Email: xieyuntong2000@gmail.com
- Facebook: NA
- X(Twitter): NA
- YouTube: NA
- Instagram: NA
- Tiktok: NA
- LinkedIn: NA
Reviewer Recommender's Main Competitors and alternatives?
- Elsevier Reviewer Recommender
- Springer Nature Reviewer Finder
- ACM Reviewer Matching
How to install?
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