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 Michele Nappi sits on this spectrum.
This scientist: 299 publications — 74th percentile
74% 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 Michele Nappi sits on this spectrum.
This scientist: 43 D-Index — 46th percentile
46% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Michele Nappi is affiliated with the University of Salerno in Italy. Their research primarily focuses on computer science, with a significant emphasis on computer vision and pattern recognition. They have contributed extensively to related subfields including artificial intelligence, signal processing, radiology, nuclear medicine and imaging, as well as computer networks and communications.
The scientist's recent scholarly publications cover a range of topics and have appeared in various academic venues. Notable papers include: Improving the Prediction of Heart Failure Patients' Survival Using SMOTE and Effective Data Mining Techniques (2021, IEEE Access), Impact of convolutional neural network and FastText embedding on text classification (2022, Multimedia Tools and Applications), Emotion Recognition by Textual Tweets Classification Using Voting Classifier (LR-SGD) (2020, IEEE Access), Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning (2021, Expert Systems with Applications), and Facial expression recognition with trade-offs between data augmentation and deep learning features (2021, Journal of Ambient Intelligence and Humanized Computing).
Their collaborations include frequent work with several co-authors. Among the most frequent are Lucia Cascone, Muhammad Umer, Chiara Pero, Aniello Castiglione, and Fabio Narducci, each contributing to numerous joint publications.
Michele Nappi's work is regularly published in several specialized venues. These include:
The main topics covered in their research relate to:
This extensive body of work places Michele Nappi at the intersection of advanced computational techniques and practical applications in health, security, and multimedia analysis. Their focus on neural networks, machine learning for health diagnostics, and biometric systems reflects ongoing trends within artificial intelligence and computer vision research fields.
Andrea F. Abate;Michele Nappi;Daniel Riccio;Gabriele Sabatino
Abid Ishaq;Saima Sadiq;Muhammad Umer;Saleem Ullah
Maria De Marsico;Michele Nappi;Daniel Riccio;Harry Wechsler
Maria De Marsico;Chiara Galdi;Michele Nappi;Daniel Riccio
M. Polvere;M. Nappi
M. De Marsico;M. Nappi;D. Riccio;H. Wechsler
Unknown
Maria De Marsico;Michele Nappi;Daniel Riccio;Jean-Luc Dugelay
R. Distasi;M. Nappi;D. Riccio
Virginio Cantoni;Chiara Galdi;Michele Nappi;Marco Porta
Anam Yousaf;Muhammad Umer;Saima Sadiq;Saleem Ullah
Saima Sadiq;Muhammad Umer;Muhammad Umer;Saleem Ullah;Seyedali Mirjalili
Andrea F. Abate;Mariano Guida;Paolo Leoncini;Michele Nappi
R. Distasi;M. Nappi;S. Vitulano
Saiyed Umer;Ranjeet Kumar Rout;Chiara Pero;Michele Nappi
Chiara Galdi;Michele Nappi;Jean-Luc Dugelay
A.F. Abate;M. Nappi;D. Riccio;S. Ricciardi
Aniello Castiglione;Pandi Vijayakumar;Michele Nappi;Saima Sadiq
Unknown
M. De Marsico;M. Nappi;D. Riccio
Maria De Marsico;Michele Nappi;Daniel Riccio;Harry Wechsler
Maria De Marsico;Michele Nappi;Daniel Riccio
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