Carlo Baldassi
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Stochastic Gradient Optimization Techniques
- Domain Adaptation and Few-Shot Learning
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
Papers in
-
- Neural Networks and Applications 16
- Stochastic Gradient Optimization Techniques 8
- Machine Learning and ELM 5
- Algorithms and Data Compression 3
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- Neural dynamics and brain function 9
- Co-authors
- Riccardo Zecchina (28 shared papers)Carlo Lucibello (6 shared papers)Luca Saglietti (7 shared papers)Andrea Pagnani (6 shared papers)Alfredo Braunstein (6 shared papers)Alessandro Ingrosso (4 shared papers)Jennifer Chayes (3 shared papers)Christian Borgs (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Physical Review Letters (3 papers)Physical review. E (3 papers)PLoS Computational Biology (2 papers)BMC Neuroscience (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Carlo Baldassi
37 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 516
- Cognitive Neuroscience 195
- Acoustics and Ultrasonics 8
- Statistical and Nonlinear Physics 108
- Computer Vision and Pattern Recognition 169
Countries citing papers authored by Carlo Baldassi
This map shows the geographic impact of Carlo Baldassi'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 Carlo Baldassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Baldassi more than expected).
Fields of papers citing papers by Carlo Baldassi
This network shows the impact of papers produced by Carlo Baldassi. 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 Carlo Baldassi. The network helps show where Carlo Baldassi may publish in the future.
Co-authors
The 25 scholars most cited alongside Carlo Baldassi, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 167 | |
| 2 | 2014 | 98 | |
| 3 | 2016 | 78 | |
| 4 | 2016 | 76 | |
| 5 | 2013 | 76 | |
| 6 | 2007 | 75 | |
| 7 | 2015 | 66 | |
| 8 | 2019 | 50 | |
| 9 | 2018 | 42 | |
| 10 | 2017 | 37 | |
| 11 | 2019 | 37 | |
| 12 | 2016 | 31 | |
| 13 | 2022 | 26 | |
| 14 | 2007 | 22 | |
| 15 | 2009 | 19 | |
| 16 | 2021 | 17 | |
| 17 | 2022 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2015 | 14 | |
| 20 | 2016 | 14 |
About Carlo Baldassi
Carlo Baldassi is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Electrical and Electronic Engineering, Molecular Biology and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (16 papers), Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (8 papers), Stochastic Gradient Optimization Techniques (8 papers), Machine Learning and ELM (5 papers), Advanced Neural Network Applications (4 papers), Algorithms and Data Compression (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Artificial Intelligence (516 citations), Cognitive Neuroscience (195 citations), Acoustics and Ultrasonics (8 citations), Statistical and Nonlinear Physics (108 citations) and Computer Vision and Pattern Recognition (169 citations). Carlo Baldassi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Riccardo Zecchina, Carlo Lucibello, Luca Saglietti, Andrea Pagnani, Alfredo Braunstein, Alessandro Ingrosso, Jennifer Chayes, Christian Borgs, Martin Weigt and Marco Zamparo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters, Physical review. E, PLoS Computational Biology and BMC Neuroscience.
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.