Alberto Cano

77 papers and 2.1k indexed citations i.

About

Alberto Cano is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alberto Cano has authored 77 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 15 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alberto Cano’s work include Machine Learning and Data Classification (24 papers), Adaptation to Concept Drift in Data Streams (20 papers) and Text and Document Classification Technologies (12 papers). Alberto Cano is often cited by papers focused on Machine Learning and Data Classification (24 papers), Adaptation to Concept Drift in Data Streams (20 papers) and Text and Document Classification Technologies (12 papers). Alberto Cano collaborates with scholars based in United States, Spain and Norway. Alberto Cano's co-authors include Sebastián Ventura, Bartosz Krawczyk, Youcef Djenouri, Asma Belhadi, Jerry Chun‐Wei Lin, Amelia Zafra, Cristóbal Romero, Joaquín Bautista Valhondo, Djamel Djenouri and José María Luna and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Alberto Cano i

Fields of papers citing papers by Alberto Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alberto Cano

Since Specialization
Citations

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