Mateo Rojas-Carulla

5 papers and 82 indexed citations i.

About

Mateo Rojas-Carulla is a scholar working on Artificial Intelligence, Molecular Biology and Cancer Research. According to data from OpenAlex, Mateo Rojas-Carulla has authored 5 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Cancer Research. Recurrent topics in Mateo Rojas-Carulla’s work include Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Algorithms (2 papers) and Genomics and Chromatin Dynamics (1 paper). Mateo Rojas-Carulla is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Algorithms (2 papers) and Genomics and Chromatin Dynamics (1 paper). Mateo Rojas-Carulla collaborates with scholars based in Germany, United Kingdom and Denmark. Mateo Rojas-Carulla's co-authors include Bernhard Schölkopf, Richard E. Turner, Jonas Peters, Niki Kilbertus, Giambattista Parascandolo, Nicholas D. Youngblut, Ruth E. Ley, Giovanni Visonà and Gabriele Schweikert and has published in prestigious journals such as Nature Communications, Bioinformatics and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Mateo Rojas-Carulla i

Fields of papers citing papers by Mateo Rojas-Carulla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mateo Rojas-Carulla. 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 Mateo Rojas-Carulla. The network helps show where Mateo Rojas-Carulla may publish in the future.

Countries citing papers authored by Mateo Rojas-Carulla

Since Specialization
Citations

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