Connected Papers
Connected Papers is a visual tool designed to assist researchers and applied scientists in discovering and exploring academic papers pertinent to their field of work. By inputting a "seed paper," users can generate a graph that displays related papers based on a similarity metric derived from co-citation and bibliographic coupling analyses. This approach allows for the identification of relevant literature, even when direct citations are absent. The resulting graph provides a visual overview of the research landscape, highlighting seminal works and potential areas for further exploration. Connected Papers aims to streamline the literature review process, making it more efficient and comprehensive for researchers.
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ScholarIQ
ScholarIQ is a web-based AI research assistant for searching and reviewing scientific literature. Researchers can pose a question, search records from OpenAlex, ORCID and PubMed, or upload search results and source documents. The platform ranks articles against review criteria, supports citation-based snowball discovery, and helps users screen records, highlight relevant passages, and extract specified information from uploaded texts. Answers and suggested values link to cited sources, while reviewers retain control of inclusion decisions, risk-of-bias judgments, and conclusions. ScholarIQ records reviewer identity, decision rationale, and supporting passages to make review work traceable. It also provides a public research metadata atlas linking papers, researchers, journals, institutions, and topics. It serves individual researchers and review teams doing literature searches, evidence screening, and systematic reviews.
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CiteDash
CiteDash is an AI-powered research and writing platform designed to streamline the entire academic workflow by combining source discovery, analysis, drafting, and citation into a single system. It enables users to enter a research topic, essay prompt, or question, after which a multi-agent pipeline automatically searches across numerous academic databases, including sources like Semantic Scholar, PubMed, and OpenAlex, to identify, evaluate, and synthesize relevant literature into a structured draft with inline citations. It emphasizes accuracy and credibility by grounding every claim in verifiable academic sources, avoiding hallucinated references, and ensuring that outputs are traceable to real studies. CiteDash supports a wide range of academic tasks, including essay writing, research papers, literature reviews, and exam preparation, offering tools such as AI-generated notes, structured outlines, and active recall question generation to reinforce learning.
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Liner
1.6 out of 5 stars
(5 Ratings)
Liner is a suite of AI agents built for accurate search, academic research, and professional writing workflows. The platform includes Liner for everyday search, Liner Scholar for academic work, and Liner Write for drafting and editing professional content. Liner provides cited answers, follow-up questions, and mind maps to help users understand complex topics based on reliable sources. Liner Scholar helps users find papers, compare research, strengthen writing with citations, and generate literature reviews. Liner Write helps users turn ideas into emails, newsletters, reports, business proposals, and other polished documents. Built for professionals, students, researchers, writers, and teams, Liner helps users search, research, verify, draft, and refine work in one connected AI workspace.
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