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 Alessio Micheli sits on this spectrum.
This scientist: 227 publications — 56th percentile
56% 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 Alessio Micheli sits on this spectrum.
This scientist: 36 D-Index — 23rd percentile
23% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Alessio Micheli is a researcher affiliated with the University of Pisa in Italy with significant contributions in the fields of Computer Science and Engineering. Their work primarily spans subfields such as Artificial Intelligence, Electrical and Electronic Engineering, Molecular Biology, Cardiology and Cardiovascular Medicine, and Statistical and Nonlinear Physics.
Their research is closely linked to key topics including Neural Networks and Reservoir Computing, Advanced Memory and Neural Computing, Advanced Graph Neural Networks, Neural Networks and Applications, Computational Drug Discovery Methods, Complex Network Analysis Techniques, and Machine Learning in Materials Science.
Alessio Micheli has coauthored publications with several frequent collaborators, notably Claudio Gallicchio, Domenico Tortorella, Marco Podda, Davide Bacciu, and Federico Errica.
Their research has been disseminated widely in various publication venues. The most frequent include arXiv (Cornell University), Neurocomputing, CINECA IRIS Institutional Research Information System (University of Pisa), IEEE Transactions on Neural Networks and Learning Systems, and EP Europace.
Notable recent papers authored or coauthored by Alessio Micheli include:
Other important papers in related research fields, authored by colleagues with overlapping topics, are as follows:
The integration of methodologies across artificial intelligence, graph neural networks, and computational drug discovery highlights the multidisciplinary nature of the research work associated with Alessio Micheli. Their contributions feature a focus on advanced neural network architectures, memory models, graph computations, and applications relevant to molecular biology and medicine.
A. Micheli
Claudio Gallicchio;Alessio Micheli;Luca Pedrelli
Davide Bacciu;Federico Errica;Alessio Micheli;Marco Podda
Claudio Gallicchio;Alessio Micheli;Luca Pedrelli
Claudio Gallicchio;Alessio Micheli
Claudio Gallicchio;Alessio Micheli
Barbara Hammer;Alessio Micheli;Alessandro Sperduti;Marc Strickert
Claudio Gallicchio;Alessio Micheli
Filippo Palumbo;Filippo Palumbo;Claudio Gallicchio;Rita Pucci;Alessio Micheli
Federico Errica;Marco Podda;Davide Bacciu;Alessio Micheli
Barbara Hammer;Alessio Micheli;Alessandro Sperduti;Marc Strickert
Davide Bacciu;Paolo Barsocchi;Stefano Chessa;Claudio Gallicchio
Anna Maria Bianucci;Alessio Micheli;Alessandro Sperduti;Antonina Starita
Alessio Micheli;Alessandro Sperduti;Antonina Starita;Anna Maria Bianucci
Ovidiu Vermesan;Arne Bröring;Elias Z. Tragos;Martin Serrano
Claudio Gallicchio;Alessio Micheli
Claudio Gallicchio;Alessio Micheli
A. Micheli;D. Sona;A. Sperduti
Marco Podda;Davide Bacciu;Alessio Micheli;Roberto Bellù
Riccardo Bini;Cinzia Chiappe;Celia Duce;Alessio Micheli
Claudio Gallicchio;Alessio Micheli
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