Daniele Ravì

25 papers and 1.7k indexed citations i.

About

Daniele Ravì is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Daniele Ravì has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Daniele Ravì’s work include Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Daniele Ravì is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Daniele Ravì collaborates with scholars based in United Kingdom, Italy and India. Daniele Ravì's co-authors include Giovanni Maria Farinella, Sebastiano Battiato, Guang‐Zhong Yang, Stephen P. Pereira and Benny Lo and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Fields of papers citing papers by Daniele Ravì

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

Countries citing papers authored by Daniele Ravì

Since Specialization
Citations

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

Rankless by CCL
2025