Gabriel Maicas

14 papers and 171 indexed citations i.

About

Gabriel Maicas is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Gabriel Maicas has authored 14 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Gabriel Maicas’s work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (3 papers) and Medical Imaging Techniques and Applications (3 papers). Gabriel Maicas is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (3 papers) and Medical Imaging Techniques and Applications (3 papers). Gabriel Maicas collaborates with scholars based in Australia, Portugal and Japan. Gabriel Maicas's co-authors include Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley, Johan Verjans and Sergei Bedrikovetski and has published in prestigious journals such as IEEE Access, Gastrointestinal Endoscopy and Medical Image Analysis.

In The Last Decade

Fields of papers citing papers by Gabriel Maicas

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Gabriel Maicas. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gabriel Maicas may publish in the future.

Countries citing papers authored by Gabriel Maicas

Since Specialization
Citations

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

Rankless by CCL
2025