Francesco Camastra

About

Francesco Camastra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Francesco Camastra has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Francesco Camastra’s work include Neural Networks and Applications (11 papers), Chaos control and synchronization (6 papers) and Handwritten Text Recognition Techniques (6 papers). Francesco Camastra is often cited by papers focused on Neural Networks and Applications (11 papers), Chaos control and synchronization (6 papers) and Handwritten Text Recognition Techniques (6 papers). Francesco Camastra collaborates with scholars based in Italy, Switzerland and United States. Francesco Camastra's co-authors include Alessandro Vinciarelli, Antonino Staiano, Angelo Ciaramella, Valentina Rastelli and Angelo Riccio and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Information Sciences.

In The Last Decade

Fields of papers citing papers by Francesco Camastra

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

Countries citing papers authored by Francesco Camastra

Since Specialization

Citations

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

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