Literature Search with AI
LITERATURE REVIEW
WITH AI
AI-powered search engines like Iris.ai can rapidly scan and comprehend scientific papers, extracting key information that helps researchers gather and assimilate knowledge more efficiently. These intelligent tools can quickly identify and synthesize the most relevant insights from a large body of research, enabling researchers to stay up-to-date with the latest developments in their field and accelerate the literature review process.
Semantic Scholar is a powerful AI-powered search engine that offers concise summaries of research papers, drawing on expert knowledge and natural language processing. Researchers can easily store and access papers of interest in their virtual library, facilitating seamless collaboration. Visit Here
Sourcely is an AI-powered tool that streamlines the process of finding, summarizing, and formatting sources for academic papers. Researchers can apply advanced filters to tailor their searches by publication year, authorship, relevance, and more. Visit Here
SciSpace provides easy-to-understand summaries and conclusions of individual research articles, bypassing complex jargon. The SciSpace Copilot, a Chrome extension, can instantly answer questions and break down concepts for researchers navigating through papers. Visit Here
System Pro is a comprehensive tool that aids in finding, synthesizing, and contextualizing literature. It provides an accurate and up-to-date overview of relevant research, allowing researchers to quickly identify areas of agreement and disagreement. The tool also surfaces new insights and enhances the research experience by presenting the entire range of statistically and mechanistically related topics, supported by data and citations. Visit Here
SciLynk is an efficient AI-powered search engine that helps researchers discover and organize research papers. It allows filtering results by article or book chapter, author, open access status, and concepts, enabling researchers to narrow down their search using specific journal names. This cutting-edge tool enables the creation of collections to save papers for future reference and seamlessly integrates with preferred reference managers. The Lynx AI assistant within SciLynk can summarize search results and extract key data. Visit Here
Scinapse is an AI-powered research intelligence engine that goes beyond just searching and listing academic papers. It provides valuable insights to address challenges like an abundance of research, literature gaps, generating new ideas, and staying up-to-date with emerging trends. Scinapse retrieves useful information from each document, such as relevant topics and patent data, to offer a more comprehensive research experience. Visit Here
Perplexity is a robust search and answer engine specifically developed to handle complex and intricate questions. It can generate content and paraphrase text in a scientifically acceptable manner, allowing researchers to learn about their field and find the latest relevant articles. Perplexity also has a Pro upgrade that integrates with tools like Copilot and ChatGPT-4. Visit Here
R Discovery is a mobile app that expedites the research discovery process by providing the most recent and relevant content in the user's field of interest. It offers an audio rendition of article abstracts and translations into 27 languages, enabling users to store and sync documents to an integrated reference manager, as well as share them with colleagues. Visit Here
Scite, a Brooklyn-based organization, helps academics better discover and understand research articles through "Smart Citations" that provide context and indicate whether the cited article supports or conflicts with the current one. Scite assists scholars in locating appropriate sources for literature reviews, filtering references by relevance, date, citations, and discipline, and enables easy access to full-text publications. Its free resources, including a Zotero plugin and browser extension, further streamline the literature evaluation process. Visit Here
LITERATURE MAPPING:
NAVIGATING
THE RESEARCH
LANDSCAPE
Literature mapping software are powerful tools that enable researchers to visualize and explore the connections between scholarly publications. These AI-powered platforms generate visual maps of the existing literature, based on factors such as citations, authors, funding sources, and keywords. This holistic approach provides researchers with a deeper understanding of the research domain and helps uncover significant gaps in the literature.
Litmaps is an advanced discovery tool that allows users to filter search results by date range, author, and keyword. Uniquely, Litmaps leverages a citation network to surface relevant recommendations, making it easier for researchers to identify important works and trace the temporal relationships between publications. The platform also enables easy sharing of the generated maps on social media and integration into research outputs.
Research Rabbit, often described as the "Spotify for papers," offers AI-driven exploration and personalized recommendations, accompanied by powerful interactive visualizations. This tool facilitates author discovery and allows for collaborative work on research collections, further enhancing the literature review process.
Connected Papers generates citation graphs by analyzing a large body of research based on co-citation and bibliography coupling. This approach helps identify clusters of similar publications and visualize the relationships between them, enabling researchers to quickly navigate the landscape of relevant literature.
Inciteful takes a unique approach by emphasizing the underlying structure of citations to create a network centered around a specific paper. This allows the tool to surface the most recent, interesting, and state-of-the-art research, while also providing interactive visualizations that demonstrate how the literature connects different areas of study.
Lateral is an AI-driven platform that assists researchers in uploading, searching, and analyzing a collection of research papers. By producing concepts, highlighting keywords, and drawing connections between publications, Lateral can significantly streamline the literature review process.
These literature mapping tools leverage advanced AI and data analysis techniques to empower researchers in navigating the vast and ever-expanding body of scholarly knowledge. By providing intuitive visualizations and intelligent recommendations, these platforms enable more efficient and comprehensive literature reviews, ultimately leading to more informed and impactful research.