The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Pasquale Foggia sits on this spectrum.
This scientist: 161 publications — 31st percentile
31% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Pasquale Foggia sits on this spectrum.
This scientist: 39 D-Index — 33rd percentile
33% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Pasquale Foggia is affiliated with the University of Salerno in Italy and works primarily within the field of Computer Science. Their research spans multiple subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, and Molecular Biology. The focus areas of their work encompass Graph Theory and Algorithms, Network Security and Intrusion Detection, Advanced Malware Detection Techniques, Speech Recognition and Synthesis, Advanced Graph Neural Networks, Anomaly Detection Techniques and Applications, and Face Recognition and Analysis.
Foggia has contributed extensively to the academic literature with a collection of recent papers covering various aspects of artificial intelligence and cognitive computing. Some notable publications include:
Foggia also appears in collaborative research contexts, sharing authorship with frequent co-authors such as Mario Vento, Vincenzo Carletti, Antonio Greco, Alessia Saggese, and Antonio Roberto. These collaborations reflect ongoing work across diverse yet interconnected domains in computer science and its applications. Publications are often found in venues like Pattern Recognition Letters, Engineering Applications of Artificial Intelligence, IEEE Internet of Things Journal, Cognitive Computation, and the International Journal on Semantic Web and Information Systems.
In addition to journal articles, Foggia has contributed to book publications, including a work released by the Centre National de la Recherche Scientifique focusing on graph-based representations within pattern recognition, indicating engagement with both theoretical and applied research frameworks.
Overall, Pasquale Foggia's research portfolio highlights a combination of machine learning, multi-task deep networks, and applied artificial intelligence techniques with applications in areas such as facial and speech recognition, cognitive robotics, and network security.
Donatello Conte;Pasquale Foggia;Carlo Sansone;Mario Vento
L.P. Cordella;P. Foggia;C. Sansone;M. Vento
L. P. Cordella;P. Foggia;C. Sansone;M. Vento
Pasquale Foggia;Alessia Saggese;Mario Vento
Pasquale Foggia;Gennaro Percannella;Mario Vento
L.P. Cordella;P. Foggia;C. Sansone;M. Vento
Pasquale Foggia;Nicolai Petkov;Alessia Saggese;Nicola Strisciuglio
Pasquale Foggia;Gennaro Percannella;Paolo Soda;Mario Vento
P. Foggia;C.Sansone;M. Vento
Pasquale Foggia;Nicolai Petkov;Alessia Saggese;Nicola Strisciuglio
Vincenzo Carletti;Pasquale Foggia;Alessia Saggese;Mario Vento
Pasquale Foggia;C Sansone;Mario Vento
Horst Bunke;Pasquale Foggia;C. Guidobaldi;Carlo Sansone
Donatello Conte;Pasquale Foggia;Mario Vento
M. De Santo;P. Foggia;C. Sansone;M. Vento
L. P. Cordella;Pasquale Foggia;C. Sansone;F. Tortorella
Pasquale Foggia;Gennaro Percannella;Alessia Saggese;Mario Vento
Sbastien Bougleux;Luc Brun;Vincenzo Carletti;Pasquale Foggia
D. Conte;P. Foggia;G. Percannella;F. Tufano
Luigi P. Cordella;Pasquale Foggia;Carlo Sansone;Mario Vento
Horst Bunke;P. Foggia;C. Guidobaldi;M. Vento
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