Personalized research feed
Get daily paper recommendations based on chosen topics and feedback.
R Discovery
Discover and read personalized research paper recommendations from a library of millions of scholarly articles.
Research DiscoveryAcademic PapersLiterature SearchReading Feed
Overview
What is R Discovery?
R Discovery is an academic research reading app from Cactus Communications that recommends research papers based on each user's topics of interest. It draws on a library of over 250 million papers, with summaries, reading lists, institutional full-text access, and a daily feed of top reads. Prime adds audio, translation, Zotero and Mendeley sync, and AI tools for asking questions of papers. Students, researchers, and academics use it to keep up with new literature.
PhD StudentsAcademic ResearchersUniversity FacultyResearch ScientistsGraduate Students
Product snapshot
- Category
- Data Discovery & Exploration
- Best for
- Academic literature discovery
- Deployment
- Cloud / Mobile
- Free trial
- Yes (free plan)
- Integrations
- Zotero, Mendeley, LibKey
- AI features
- Yes
Key features
Key features of R Discovery
Reviews
R Discovery reviews
Gayatri R.
Doctoral student
“Liked the highly specific keyword search and that the app is free. Found there are no alerts for new keyword matches and her institution was missing from full-text access.”
Yerson C.
Communications Director
“Liked the accurate integration of research data, which the reviewer found helpful for supporting analytical processes and work. Noted no major drawbacks.”
Mahesh N.
Prof
“Liked that it is good software with support for journal articles. Found it frustrating that journal articles cannot be downloaded directly from the app.”
Saranath P.
PhD Scholar
“Liked the well-designed, user-friendly apps, broad database, and feed that adapts to feedback. Found it lacks filters for publication year and type, and rating large result sets takes time.”
Jesse N.
Dispatch Control Engineer
“Liked the organized presentation of papers and the daily email of top reads. Found some papers are paywalled at their source and cannot be accessed.”
Njugi M.
Activist
“Liked how useful it is for researching sustainability topics. Found it lacks photo captions that would keep readers more engaged.”
Jonas D.
Education Management
“Liked the good recommendations, article summaries, and overall usability. Found there is no option to show only fully available articles.”
Verified Reviewer
Consultant
“Liked the access to current research across many sectors. Found the interface and dashboard need work and wanted more topics covered.”
Sagar P.
Owner
“Liked that it simplifies access to research data and saves considerable research time. Found some of the recommended content boring or irrelevant.”
Negin G.
Teacher/Researcher
“Liked the article recommendations based on past searches, which help in keeping up with topics. Noted no major drawbacks and found the features sufficient.”
Verified Reviewer
Student
“Liked the daily topic-based article updates on chosen subjects. Found that liked articles are not saved and disappear after reopening the app.”
Omar E.
PhD student
“Liked how the recommendation system finds high-value papers for the reviewer's research area. Noted no major drawbacks with the app or its features.”
Aurelio P.
Marketing Scientific Manager
“Liked that it is easy to use and complete. Found some research criteria are unsupported and searches sometimes need repeating.”
Alternatives
Top R Discovery alternatives
Semantic Scholar
Best forFree AI paper search
Why choose itFree search with AI paper summaries
Elicit
Best forAI literature reviews
Why choose itExtracts findings across many papers quickly
ResearchGate
Best forAcademic networking
Why choose itShare papers and connect with researchers
Mendeley
Best forReference management
Why choose itOrganize references with paper recommendations
Integrations
R Discovery integrations
FAQ