| Votes | By | Price | Discipline | Year Launched |
| Chinese National High-tech R&D Program and the National Science Foundation of China | FREE, OPEN SOURCE | Interdisciplinary |
AMiner (originally called ArnetMiner) is a free online AI platform developed for summarising papers, preliminary academic search, profiling, and data mining. It builds large-scale researcher and publication networks by automatically extracting researchers’ profiles, publications, affiliations, and co-authorships from across the web and academic sources.
The system offers tools for exploring expert networks, discovering emerging topics, analysing collaboration patterns and visualising academic social graphs.
Launched in 2006 by a team at Tsinghua University (China), it has indexed hundreds of millions of publications and tens of millions of researcher profiles.
Who does it serve & how?
AMiner is especially useful for:
- Researchers seeking to find experts, collaborators or research groups in a specific domain.
- R&D strategists and academic administrators who want to analyse trends, collaboration networks or institutional performance.
- Academics in regions (including Asia) where local academic networks might be less visible in Western-centric databases—AMiner’s broad indexing helps.
For example, one can search by topic (“machine learning”, “neuroscience”), view top author networks, see institution connectivity, check emerging research clusters—all within AMiner’s interface.
Key features
- Researcher profiling: automatic extraction of author names, affiliations, publications, citation counts, field of interests.
- Expert / topic / conference search: ability to query by topic and find key authors, major venues, collaboration graphs.
- Social network mining & visualisation: AMiner supports mapping of co-author networks, topic evolution, community detection.
- Datasets & APIs: For research purposes, AMiner publishes large datasets derived from its network for data mining and analysis.
Summarizing: Helps in summarising large research papers
Considerations & limitations
- Coverage and completeness vary by discipline and region, while AMiner is large scale, some domains might be less well-covered.
- The interface may emphasise network/graph analytics more than simply “find a paper” (so for basic tasks one might still use other platforms).
- As with any author name-disambiguation system, some errors may exist in mapping publications to authors (though AMiner uses advanced techniques).