Guillermo Ayala

75 papers and 1.0k indexed citations i.

About

Guillermo Ayala is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Geometry and Topology. According to data from OpenAlex, Guillermo Ayala has authored 75 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 12 papers in Molecular Biology and 12 papers in Geometry and Topology. Recurrent topics in Guillermo Ayala’s work include Medical Image Segmentation Techniques (13 papers), Morphological variations and asymmetry (12 papers) and Image Retrieval and Classification Techniques (9 papers). Guillermo Ayala is often cited by papers focused on Medical Image Segmentation Techniques (13 papers), Morphological variations and asymmetry (12 papers) and Image Retrieval and Classification Techniques (9 papers). Guillermo Ayala collaborates with scholars based in Spain, United States and Germany. Guillermo Ayala's co-authors include Juan Domingo, Derek Toomre, María Elena Díaz, Rafael Sebastián, Lucía Martínez‐Costa, Esther de Ves, Teresa León, Roberto Zoncu, Rushika M. Perera and Fubito Nakatsu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Guillermo Ayala i

Fields of papers citing papers by Guillermo Ayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guillermo Ayala

Since Specialization
Citations

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