José Dolz

70 papers and 2.3k indexed citations i.

About

José Dolz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, José Dolz has authored 70 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 36 papers in Artificial Intelligence and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in José Dolz’s work include Advanced Neural Network Applications (28 papers), Domain Adaptation and Few-Shot Learning (23 papers) and Medical Image Segmentation Techniques (18 papers). José Dolz is often cited by papers focused on Advanced Neural Network Applications (28 papers), Domain Adaptation and Few-Shot Learning (23 papers) and Medical Image Segmentation Techniques (18 papers). José Dolz collaborates with scholars based in Canada, France and Spain. José Dolz's co-authors include Ismail Ben Ayed, Christian Desrosiers, Ashish Sinha, Éric Granger, Hoel Kervadec, Hervé Lombaert, Jing Yuan, Karthik Gopinath, Laurent Massoptier and Meng Tang and has published in prestigious journals such as NeuroImage, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Co-authorship network of co-authors of José Dolz i

Fields of papers citing papers by José Dolz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by José Dolz

Since Specialization
Citations

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