Pablo Márquez-Neila

32 papers and 868 indexed citations i.

About

Pablo Márquez-Neila is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Pablo Márquez-Neila has authored 32 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Astronomy and Astrophysics. Recurrent topics in Pablo Márquez-Neila’s work include Medical Image Segmentation Techniques (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Cell Image Analysis Techniques (5 papers). Pablo Márquez-Neila is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Cell Image Analysis Techniques (5 papers). Pablo Márquez-Neila collaborates with scholars based in Switzerland, Spain and United States. Pablo Márquez-Neila's co-authors include Pascal Fua, Luis Baumela, Mathieu Salzmann, Luis Álvarez, Bugra Tekin, Raphael Sznitman, Mateusz Koziński, Agata Mosinska, Kevin Heng and Chloe Fisher and has published in prestigious journals such as The Astrophysical Journal, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Pablo Márquez-Neila i

Fields of papers citing papers by Pablo Márquez-Neila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Márquez-Neila. 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 Pablo Márquez-Neila. The network helps show where Pablo Márquez-Neila may publish in the future.

Countries citing papers authored by Pablo Márquez-Neila

Since Specialization
Citations

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