Marta Arias

26 papers and 293 indexed citations i.

About

Marta Arias is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Marta Arias has authored 26 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 7 papers in Computational Theory and Mathematics. Recurrent topics in Marta Arias’s work include Machine Learning and Algorithms (7 papers), Algorithms and Data Compression (5 papers) and semigroups and automata theory (3 papers). Marta Arias is often cited by papers focused on Machine Learning and Algorithms (7 papers), Algorithms and Data Compression (5 papers) and semigroups and automata theory (3 papers). Marta Arias collaborates with scholars based in Spain, United States and Argentina. Marta Arias's co-authors include Argimiro Arratia, Gustavo Corach, Gail E. Kaiser, Christian Murphy, José L. Balcázar, Joan Capdevila Pujol, Roni Khardon, Alicia Troncoso, José C. Riquelme and Hila Becker and has published in prestigious journals such as Annals of the New York Academy of Sciences, Neurocomputing and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Marta Arias i

Fields of papers citing papers by Marta Arias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marta Arias

Since Specialization
Citations

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