Connected Papers | Find and explore academic papers

What

Connected Papers is a literature exploration tool that helps people find and examine academic papers through a visual graph. A user starts by entering a paper identifier such as a DOI, arXiv link, PubMed URL, Semantic Scholar URL, paper URL, or paper title, and the product builds a graph of similar papers around that starting point.

The product appears to serve researchers, students, and other academic users who need to understand a field, identify important papers, and expand a bibliography. Based on the page content, its positioning is likely as a research discovery and mapping interface layered on top of the Semantic Scholar database rather than a full reference manager or end-to-end academic writing platform.

Features

• Visual paper graph generation: Users can enter a known paper and get a graph of related papers, which helps them quickly see the structure and dynamics of a research area.
• Multiple input methods: The tool accepts DOI, arXiv, PubMed, Semantic Scholar, paper URL, and paper title inputs, making it easier to start from whatever citation format a user already has.
• Field overview exploration: It can be used to get a visual overview of a new academic field, which is useful when entering unfamiliar literature domains.
• Important paper discovery: The product helps users identify relevant and recent papers they may have missed, especially in fast-moving fields.
• Prior Works and Derivative Works views: These views support discovery of earlier foundational papers and later follow-on works such as literature reviews and state-of-the-art publications.
• Broad scientific coverage via Semantic Scholar: The platform states that it uses the Semantic Scholar database, suggesting coverage across many disciplines rather than a narrow subject focus.

Helpful Tips

• Start with a representative seed paper: The quality of the graph will depend heavily on the first paper you choose, so begin with a well-known or clearly relevant paper in your topic.
• Use the graph for discovery, not final judgment: Visual proximity and relatedness are useful signals, but paper selection should still be validated by reading abstracts, methods, and citations.
• Pair it with a citation workflow: Since the page emphasizes exploration and bibliography building, it is best used alongside a separate note-taking or reference management process if you need structured citation handling.
• Use prior and derivative views strategically: Prior works can help build historical context, while derivative works can help locate reviews and newer summaries of a topic.
• Confirm coverage for niche topics: Although the site states broad support across scientific fields through Semantic Scholar, users in highly specialized areas should verify that their literature is adequately represented.

OpenClaw Skills

Connected Papers could likely fit into the OpenClaw ecosystem as a research discovery layer inside broader knowledge workflows. Likely OpenClaw skills could include a literature scouting agent that takes a topic or seed paper, retrieves a Connected Papers graph, extracts key clusters, and turns them into structured research briefs for analysts, graduate students, or innovation teams.

A broader OpenClaw workflow could likely combine Connected Papers with agents for paper summarization, bibliography gap analysis, review drafting, and trend monitoring. While the page does not describe a native integration, this combination could materially improve how research-heavy professions work by shifting time away from manual paper hunting and toward synthesis, critique, and decision-making.