Davide Bacciu
Impact in
- Computational Mathematics top 10%
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
Papers in
-
- Advanced Graph Neural Networks 17
- Neural Networks and Reservoir Computing 16
- Neural Networks and Applications 15
- Domain Adaptation and Few-Shot Learning 11
- Topic Modeling 10
-
- Context-Aware Activity Recognition Systems 8
- Co-authors
- Alessio Micheli (36 shared papers)Marco Podda (10 shared papers)Federico Errica (10 shared papers)Antonio Carta (14 shared papers)Andrea Cossu (13 shared papers)Claudio Gallicchio (27 shared papers)Vincenzo Lomonaco (14 shared papers)Stefano Chessa (9 shared papers)
- Journals
- Neurocomputing (10 papers)IEEE Transactions on Neural Networks and Learning Systems (6 papers)Neural Networks (3 papers)Neural Computing and Applications (3 papers)Engineering Applications of Artificial Intelligence (2 papers)
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Davide Bacciu
115 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 126
- Computational Mathematics 14
- Artificial Intelligence 643
- Computer Vision and Pattern Recognition 251
- Health Informatics 12
- Signal Processing 80
Countries citing papers authored by Davide Bacciu
This map shows the geographic impact of Davide Bacciu'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 Davide Bacciu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Bacciu more than expected).
Fields of papers citing papers by Davide Bacciu
This network shows the impact of papers produced by Davide Bacciu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Davide Bacciu. The network helps show where Davide Bacciu may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Bacciu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 195 | |
| 2 | 2021 | 89 | |
| 3 | 2013 | 65 | |
| 4 | 2019 | 63 | |
| 5 | 2018 | 62 | |
| 6 | 2019 | 50 | |
| 7 | 2012 | 28 | |
| 8 | 2015 | 27 | |
| 9 | 2017 | 27 | |
| 10 | 2022 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2015 | 20 | |
| 13 | 2022 | 19 | |
| 14 | 2022 | 17 | |
| 15 | 2016 | 17 | |
| 16 | 2020 | 16 | |
| 17 | 2014 | 15 | |
| 18 | 2008 | 15 | |
| 19 | 2010 | 14 | |
| 20 | 2012 | 13 |
About Davide Bacciu
Davide Bacciu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computer Networks and Communications and Signal Processing, having authored 125 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (17 papers), Neural Networks and Reservoir Computing (16 papers), Neural Networks and Applications (15 papers), Domain Adaptation and Few-Shot Learning (11 papers), Topic Modeling (10 papers), Context-Aware Activity Recognition Systems (8 papers), Advanced Memory and Neural Computing (7 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Computational Mathematics (14 citations), Artificial Intelligence (643 citations), Computer Vision and Pattern Recognition (251 citations), Health Informatics (12 citations) and Signal Processing (80 citations). Davide Bacciu has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Alessio Micheli, Marco Podda, Federico Errica, Antonio Carta, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Stefano Chessa, Alessandro Sperduti and Paolo Barsocchi. Their work appears in journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Neural Computing and Applications and Engineering Applications of Artificial Intelligence.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.