Andrew Fano

9 papers and 375 indexed citations i.

About

Andrew Fano is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andrew Fano has authored 9 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andrew Fano’s work include Biomedical Text Mining and Ontologies (3 papers), Topic Modeling (3 papers) and Teaching and Learning Programming (1 paper). Andrew Fano is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Topic Modeling (3 papers) and Teaching and Learning Programming (1 paper). Andrew Fano collaborates with scholars based in United States, Switzerland and Luxembourg. Andrew Fano's co-authors include Roger C. Schank, Menachem Y. Jona, Benjamin Bell, Anatole Gershman, Yan Liu, Rayid Ghani, Katharina Probst, Bogdan Sacaleanu, Jessica E. Huber and Xavier Tannier and has published in prestigious journals such as Communications of the ACM, Artificial Intelligence Review and Journal of the Learning Sciences.

In The Last Decade

Co-authorship network of co-authors of Andrew Fano i

Fields of papers citing papers by Andrew Fano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Fano. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew Fano. The network helps show where Andrew Fano may publish in the future.

Countries citing papers authored by Andrew Fano

Since Specialization
Citations

This map shows the geographic impact of Andrew Fano's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew Fano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Fano more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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