Mateo Rojas-Carulla

20 total papers · 636 total citations
5 papers, 123 citations indexed

About

Mateo Rojas-Carulla is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mateo Rojas-Carulla has authored 5 papers receiving a total of 123 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 Computer Vision and Pattern Recognition. Recurrent topics in Mateo Rojas-Carulla's work include Machine Learning and Algorithms (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Bioinformatics and Genomic Networks (1 paper). Mateo Rojas-Carulla is often cited by papers focused on Machine Learning and Algorithms (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Bioinformatics and Genomic Networks (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, Giambattista Parascandolo, Niki Kilbertus, Nicholas D. Youngblut, Ruth E. Ley, Gabriele Schweikert, Giovanni Visonà and Alex Hawkins‐Hooker and has published in prestigious journals such as Nature Communications, Bioinformatics and Journal of Machine Learning Research.

In The Last Decade

Mateo Rojas-Carulla

5 papers receiving 119 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mateo Rojas-Carulla	73	34	25	16	14	5	123
Amin Allam	58 0.8×	58 1.7×	12 0.5×	13 0.8×		5	131
Soeren Sonnenburg	95 1.3×	111 3.3×	64 2.6×	4 0.3×	4 0.3×	5	230
Phillipp Schmidt	51 0.7×	124 3.6×	8 0.3×	5 0.3×	7 0.5×	7	231
Yannic Kilcher	58 0.8×	14 0.4×	22 0.9×	24 1.5×		6	127
Patrick Pletscher	91 1.2×	16 0.5×	55 2.2×		7 0.5×	8	124
Marco Ancona	158 2.2×	29 0.9×	45 1.8×	2 0.1×		6	231
Mark-A. Krogel	67 0.9×	42 1.2×	14 0.6×		5 0.4×	5	108
Eleni Sgouritsa	128 1.8×	8 0.2×	29 1.2×		18 1.3×	5	143
John D. Eblen	25 0.3×	47 1.4×	9 0.4×	3 0.2×		7	112
Andre Skusa	66 0.9×	217 6.4×	13 0.5×	8 0.5×		8	245

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Mateo Rojas-Carulla. A scholar is included among the top collaborators of Mateo Rojas-Carulla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mateo Rojas-Carulla. Mateo Rojas-Carulla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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