Federica Bisio

About

Federica Bisio is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Federica Bisio has authored 15 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Federica Bisio’s work include Machine Learning and ELM (7 papers), Face and Expression Recognition (5 papers) and Sentiment Analysis and Opinion Mining (5 papers). Federica Bisio is often cited by papers focused on Machine Learning and ELM (7 papers), Face and Expression Recognition (5 papers) and Sentiment Analysis and Opinion Mining (5 papers). Federica Bisio collaborates with scholars based in Italy, Singapore and United Kingdom. Federica Bisio's co-authors include Erik Cambria, Soujanya Poria, Jie Fu, Luca Oneto, Davide Anguita, Rodolfo Zunino, Paolo Gastaldo, Iti Chaturvedi, Amir Hussain and Alexander Gelbukh and has published in prestigious journals such as Neurocomputing, Neural Networks and Journal of NeuroEngineering and Rehabilitation.

In The Last Decade

Co-authorship network of co-authors of Federica Bisio i

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Fields of papers citing papers by Federica Bisio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federica Bisio

Since Specialization

Citations

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