Alicia d’Anjou

43 papers and 698 indexed citations i.

About

Alicia d’Anjou is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Alicia d’Anjou has authored 43 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Statistical and Nonlinear Physics and 12 papers in Artificial Intelligence. Recurrent topics in Alicia d’Anjou’s work include Nonlinear Dynamics and Pattern Formation (10 papers), Neural dynamics and brain function (9 papers) and Neural Networks and Applications (8 papers). Alicia d’Anjou is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (10 papers), Neural dynamics and brain function (9 papers) and Neural Networks and Applications (8 papers). Alicia d’Anjou collaborates with scholars based in Spain, United Kingdom and France. Alicia d’Anjou's co-authors include Francisco Torrealdea, Manuel Graña, Abdelmalik Moujahid, C. Sarasola, F. Sanz, Nieves Vélez de Mendizábal, Carmen Hernández, Ramón Moreno, Raúl Orduna-Urrutia and Gurutze Arzamendi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and Journal of Non-Crystalline Solids.

In The Last Decade

Co-authorship network of co-authors of Alicia d’Anjou i

Fields of papers citing papers by Alicia d’Anjou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alicia d’Anjou. 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 Alicia d’Anjou. The network helps show where Alicia d’Anjou may publish in the future.

Countries citing papers authored by Alicia d’Anjou

Since Specialization
Citations

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