Davide Bacciu

2.8k citations
125 papers · 1.2k · h-index 16

Impact in

Papers in

Davide Bacciu

115 papers receiving 1.2k citations

Peers

Davide Bacciu
Comparison fields: 5 of 126
  • Computational Mathematics 14
  • Artificial Intelligence 643
  • Computer Vision and Pattern Recognition 251
  • Health Informatics 12
  • Signal Processing 80
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Jun Liang China
Feng Zhao China
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Rongyao Hu China
Jiejun Xu United States
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Citations per field
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Citations per year

Countries citing papers authored by Davide Bacciu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Davide Bacciu Line = papers co-authored together Davide Bacciu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020195
2 202189
3 201365
4 201963
5 201862
6 201950
7 201228
8 201527
9 201727
10 202220
11 201920
12 201520
13 202219
14 202217
15 201617
16 202016
17 201415
18 200815
19 201014
20 201213

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.

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