Uncover Research Impact – Beyond Citations
Analyze and compare scientific impact across papers, authors and institutions.
Analyze and compare scientific impact across papers, authors and institutions.
Understand the real influence of papers, authors, and institutions with AI-generated impact summaries based on citation networks and contextual analysis.
Track how scientific impact evolves over time with intuitive charts and timelines for each paper, researcher, and organization.
Easily compare multiple papers, authors, or institutions across key metrics and AI-driven insights to identify research leaders and standout publications.
We analyze and classify all citations for each paper in our dataset as either "impact-revealing" or "other", while generating detailed citation intents to understand how papers are referenced.
Using open source LLMs, we generate comprehensive summaries for each paper by analyzing impact-revealing citations, citation intents, and publication metadata of the citing papers.
We aggregate paper-level insights to create detailed impact summaries for researchers and institutions, tracking their influence over time.
Interactive visualizations bring the impact data to life, showing citation patterns, research trends, and influence evolution over time.
Currently focused on papers and authors from the ACL Anthology, providing impact analysis for the field of Computational Linguistics and Natural Language Processing. The platform imports data from three different sources (ACL Anthology, Semantic Scholar and Open Alex) to provide the most comprehensive impact analysis possible. Therefore inconsistencies may occur in the data.
Scientific publications from the ACL Anthology
Authors publishing in ACL venues
Research institutions worldwide
Traditional metrics like citation counts often miss the bigger picture. Our platform goes beyond raw numbers by providing AI-generated summaries and visual timelines that help NLP researchers truly understand the influence and evolution of scientific work.