Federico Fancellu

12 papers and 114 indexed citations i.

About

Federico Fancellu is a scholar working on Artificial Intelligence, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Federico Fancellu has authored 12 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Cognitive Neuroscience. Recurrent topics in Federico Fancellu’s work include Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers) and Text Readability and Simplification (5 papers). Federico Fancellu is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers) and Text Readability and Simplification (5 papers). Federico Fancellu collaborates with scholars based in United Kingdom, United States and China. Federico Fancellu's co-authors include Bonnie Webber, Adam Lopez, Hangfeng He, Mirella Lapata, Afsaneh Fazly, Diyi Yang, Ran Zhang, Jingfeng Yang, Siva Reddy and Matthew R. Gormley and has published in prestigious journals such as Edinburgh Research Explorer (University of Edinburgh), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Co-authorship network of co-authors of Federico Fancellu i

Fields of papers citing papers by Federico Fancellu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federico Fancellu. 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 Federico Fancellu. The network helps show where Federico Fancellu may publish in the future.

Countries citing papers authored by Federico Fancellu

Since Specialization
Citations

This map shows the geographic impact of Federico Fancellu'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 Federico Fancellu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Fancellu 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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