Marcos Báez

36 papers and 467 indexed citations i.

About

Marcos Báez is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Marcos Báez has authored 36 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Computer Science Applications and 9 papers in Information Systems. Recurrent topics in Marcos Báez’s work include Mobile Crowdsensing and Crowdsourcing (9 papers), Technology Use by Older Adults (9 papers) and AI in Service Interactions (6 papers). Marcos Báez is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (9 papers), Technology Use by Older Adults (9 papers) and AI in Service Interactions (6 papers). Marcos Báez collaborates with scholars based in Italy, Russia and Australia. Marcos Báez's co-authors include Fabio Casati, Francisco Ibarra, Luca Cernuzzi, Daniele Didino, Mladjan Jovanovic, Boualem Benatallah, Michela Ferron, Maurizio Marchese, Sebastian Hobert and Asbjørn Følstad and has published in prestigious journals such as IEEE Access, PeerJ and JMIR mhealth and uhealth.

In The Last Decade

Co-authorship network of co-authors of Marcos Báez i

Fields of papers citing papers by Marcos Báez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marcos Báez

Since Specialization
Citations

This map shows the geographic impact of Marcos Báez'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 Marcos Báez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcos Báez 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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2025