César Ferri

38 papers and 1.1k indexed citations i.

About

César Ferri is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, César Ferri has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 9 papers in Information Systems and 6 papers in Computational Theory and Mathematics. Recurrent topics in César Ferri’s work include Imbalanced Data Classification Techniques (10 papers), Machine Learning and Data Classification (10 papers) and Machine Learning and Algorithms (7 papers). César Ferri is often cited by papers focused on Imbalanced Data Classification Techniques (10 papers), Machine Learning and Data Classification (10 papers) and Machine Learning and Algorithms (7 papers). César Ferri collaborates with scholars based in Spain, United Kingdom and France. César Ferri's co-authors include José Hernández‐Orallo, Peter Flach, Marïa José Ramírez-Quintana, Fernando Martínez‐Plumed, Lidia Contreras-Ochando, Antonio Bella, Nicolas Lachiche, Meelis Kull, Vicente Domingo Estruch Fuster and Jan Arne Telle and has published in prestigious journals such as Nature, Expert Systems with Applications and Computers & Education.

In The Last Decade

Co-authorship network of co-authors of César Ferri i

Fields of papers citing papers by César Ferri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by César Ferri

Since Specialization
Citations

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