M. Inés Torres

63 papers and 463 indexed citations i.

About

M. Inés Torres is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M. Inés Torres has authored 63 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 14 papers in Experimental and Cognitive Psychology and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. Inés Torres’s work include Speech and dialogue systems (20 papers), Speech Recognition and Synthesis (16 papers) and Topic Modeling (14 papers). M. Inés Torres is often cited by papers focused on Speech and dialogue systems (20 papers), Speech Recognition and Synthesis (16 papers) and Topic Modeling (14 papers). M. Inés Torres collaborates with scholars based in Spain, United Kingdom and United States. M. Inés Torres's co-authors include Raquel Justo, Roberto Martı́nez, Marı́a N. Sánchez Rayo, Fernando Castaño, Marilyn Walker, T. Fiegele, G. Hanel, M. Lezius, T.D. Märk and Stephanie M. Lukin and has published in prestigious journals such as The Journal of Chemical Physics, Chemical Physics Letters and The Journal of Physical Chemistry A.

In The Last Decade

Co-authorship network of co-authors of M. Inés Torres i

Fields of papers citing papers by M. Inés Torres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Inés Torres. 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 M. Inés Torres. The network helps show where M. Inés Torres may publish in the future.

Countries citing papers authored by M. Inés Torres

Since Specialization
Citations

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