Connected Papers

Connected Papers is a cutting-edge platform that empowers researchers, academics, and students to visually navigate the landscape of scientific literature. By entering a starting paper, the system processes citation and content similarity information to construct a network of interconnected research. This visual approach allows for rapid identification of seminal works, key research, and new trends. Utilizing the comprehensive Semantic Scholar database, Connected Papers provides an intuitive method for traversing intricate academic domains, thereby enriching literature reviews and research surveys while saving valuable time.

Key Features

Interactive Visual Graphs: Produces fluid, user-friendly graphs that illustrate the connections among scholarly articles, founded on citation links and thematic resemblances.

Prior and Derivative Works Analysis: Pinpoints original foundational research and the studies that built upon them, offering a holistic perspective on a subject's progression.

Multi-Origin Graphs: Supports the inclusion of several seed papers to analyze and uncover overlapping research domains within a single visual representation.

Bibliography Enhancement: Aids in constructing and refining bibliographies by surfacing pertinent publications that may be absent from a user's current reference list.

Customizable Graph Filters: Offers options to filter results by publication year, relevance score, and number of citations, customizing the graph display to meet specific investigative requirements.

Extensive Database Integration: Draws from Semantic Scholar's massive repository containing millions of papers spanning numerous scientific fields, ensuring precise and current research mapping.

Use Cases

Literature Review: Simplifies the academic survey process by providing a visual chart of related publications, aiding in the spotting of essential studies and unexplored areas.

Academic Writing and Thesis Preparation: Supports students and scholars in developing thorough reference lists and comprehending the historical development of their research topics.

Research Trend Analysis: Enables academics to monitor recent advancements and significant publications in their area to remain abreast of emerging trends.

Paper Discovery for Peer Review: Allows reviewers to efficiently locate relevant previous and subsequent works to evaluate the originality and background of manuscripts under consideration.

Cross-Disciplinary Research Exploration: Promotes the investigation of linked research fields by graphically displaying relationships among papers from different academic disciplines.