Access to thousands of peer-reviewed journals, books, and reference works across multiple disciplines.
Powerful search functionality with filters by subject, date, author, and publication type.
Tools to export citations in various formats and integrate with reference management software.
Responsive design and dedicated mobile apps for access on smartphones and tablets.
Includes open access journals and articles, promoting transparent and accessible research.
Set up email alerts for new publications in specific fields or journals.
Conducting literature reviews and finding references for scholarly papers and projects.
Preparing course materials, assignments, and reading lists for students in educational institutions.
Accessing journal guidelines, submitting manuscripts, and staying updated on publication trends.
Staying informed with industry advancements and continuing education in various fields.
Citing relevant studies and data to strengthen research proposals and funding applications.
Accessing medical journals for evidence-based care and clinical decision-making.
Researching scientific and technological advancements for innovation and product development.
Curating digital collections and managing subscriptions for institutional libraries.
Supporting undergraduate and graduate work with credible sources and research tools.
Informing public policy decisions with scholarly evidence and expert analysis.
Self-paced learning and exploration of academic topics without formal enrollment.
Exploring topics across different fields to foster interdisciplinary research and insights.
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Arxiv-sanity is an innovative web platform that enhances the arXiv repository by integrating machine learning for personalized paper recommendations. Created by AI researcher Andrej Karpathy, it helps academics and researchers efficiently discover and manage scientific publications. The tool uses algorithms like TF-IDF and collaborative filtering to analyze user preferences and suggest relevant papers from arXiv's vast database. Key functionalities include a personal library for saving papers, advanced search with filters by date, category, and citations, trend visualization to track popular topics, and similarity search to find related works. It is particularly valuable in fast-paced fields such as artificial intelligence, computer science, and physics, enabling users to stay updated with the latest research without manual browsing. The interface is designed for ease of use, allowing quick access to abstracts, PDFs, and metadata. By automating paper discovery, Arxiv-sanity saves time and improves research productivity, making it an essential tool for students, professionals, and enthusiasts in the scientific community.
CiteSeerX is a free, open-access digital library and search engine specifically designed for scientific publications in the fields of computer and information science. Developed and maintained by the College of Information Sciences and Technology at Pennsylvania State University, it provides researchers, students, and academics with access to millions of documents, including research papers, theses, and technical reports. The platform leverages advanced algorithms for citation indexing, allowing users to track citation networks and analyze the impact of publications. It features full-text search capabilities, metadata extraction, document clustering, and author disambiguation tools. CiteSeerX aims to enhance the discoverability and accessibility of scientific knowledge, supporting literature reviews, bibliometric studies, and research trend analysis. Its user-friendly interface and comprehensive database make it an essential resource for the computer science community, promoting open science and collaborative research.
Connected Papers is an AI-powered tool designed to assist researchers, academics, and students in visualizing and exploring connections between academic papers. By inputting a seed paper via title, DOI, or author, the tool generates an interactive graph based on citation networks, highlighting related works and seminal references. This visualization aids in comprehensive literature reviews, discovery of new research areas, identification of trends, and gap analysis. Utilizing advanced algorithms to analyze bibliographic data, Connected Papers streamlines the research process, saving time and enhancing productivity. It supports features like filtering, exporting, and customizable views, making it a valuable resource for evidence-based inquiry across various disciplines.
