Massimo Salvi

72 papers and 914 indexed citations i.

About

Massimo Salvi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Massimo Salvi has authored 72 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 20 papers in Biomedical Engineering. Recurrent topics in Massimo Salvi’s work include AI in cancer detection (24 papers), Cell Image Analysis Techniques (10 papers) and Digital Imaging for Blood Diseases (8 papers). Massimo Salvi is often cited by papers focused on AI in cancer detection (24 papers), Cell Image Analysis Techniques (10 papers) and Digital Imaging for Blood Diseases (8 papers). Massimo Salvi collaborates with scholars based in Italy, Australia and Singapore. Massimo Salvi's co-authors include Filippo Molinari, Kristen M. Meiburger, U. Rajendra Acharya, Nicola Michielli, Silvia Seoni, Prabal Datta Barua, Luca Molinaro, Mauro Papotti, Marco Alessandro Minetto and Cristina Caresio and has published in prestigious journals such as Scientific Reports, Journal of Hepatology and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Massimo Salvi i

Fields of papers citing papers by Massimo Salvi

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

Countries citing papers authored by Massimo Salvi

Since Specialization
Citations

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

Rankless by CCL
2025