Maria Gabrani

34 papers and 453 indexed citations i.

About

Maria Gabrani is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maria Gabrani has authored 34 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maria Gabrani’s work include AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Cell Image Analysis Techniques (9 papers). Maria Gabrani is often cited by papers focused on AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Cell Image Analysis Techniques (9 papers). Maria Gabrani collaborates with scholars based in Switzerland, United States and United Kingdom. Maria Gabrani's co-authors include Pushpak Pati, Orçun Göksel, Florinda Feroce, Jean‐Philippe Thiran and Guillaume Jaume and has published in prestigious journals such as IEEE Transactions on Image Processing, Trends in biotechnology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Fields of papers citing papers by Maria Gabrani

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 Maria Gabrani. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Maria Gabrani may publish in the future.

Countries citing papers authored by Maria Gabrani

Since Specialization
Citations

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

Rankless by CCL
2025