Alberto Testolin
Impact in
- Statistics and Probability top 2%
- Cognitive and developmental aspects of mathematical skills
- Cognitive Neuroscience top 10%
- Visual perception and processing mechanisms
- EEG and Brain-Computer Interfaces
Papers in
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- Cognitive and developmental aspects of mathematical skills 15
-
- Neural Networks and Applications 14
- Topic Modeling 8
- Reinforcement Learning in Robotics 4
- Co-authors
- Marco Zorzi (32 shared papers)Michele De Filippo De Grazia (13 shared papers)Ivilin Peev Stoianov (5 shared papers)Roee Diamant (8 shared papers)Michele Zorzi (8 shared papers)Andréa Zanella (6 shared papers)James L. McClelland (2 shared papers)Will Y. Zou (1 shared paper)
- Journals
- Scientific Reports (3 papers)PLoS ONE (2 papers)Developmental Science (2 papers)Applied Sciences (2 papers)Sensors (2 papers)
- Partner nations
- ItalyIsraelUnited States
In The Last Decade
Alberto Testolin
59 papers receiving 870 citations
Peers
Comparison fields: 5 of 96
- Statistics and Probability 189
- Cognitive Neuroscience 165
- Artificial Intelligence 171
- Computer Vision and Pattern Recognition 115
- Computer Networks and Communications 102
Countries citing papers authored by Alberto Testolin
This map shows the geographic impact of Alberto Testolin'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 Alberto Testolin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Testolin more than expected).
Fields of papers citing papers by Alberto Testolin
This network shows the impact of papers produced by Alberto Testolin. 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 Alberto Testolin. The network helps show where Alberto Testolin may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Testolin, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 95 | |
| 2 | 2018 | 58 | |
| 3 | 2013 | 55 | |
| 4 | 2020 | 46 | |
| 5 | 2017 | 43 | |
| 6 | 2016 | 41 | |
| 7 | 2017 | 41 | |
| 8 | 2014 | 39 | |
| 9 | 2020 | 37 | |
| 10 | 2020 | 30 | |
| 11 | 2020 | 27 | |
| 12 | 2021 | 26 | |
| 13 | 2013 | 25 | |
| 14 | 2023 | 23 | |
| 15 | 2023 | 22 | |
| 16 | 2017 | 18 | |
| 17 | 2019 | 18 | |
| 18 | 2020 | 18 | |
| 19 | 2015 | 15 | |
| 20 | 2020 | 14 |
About Alberto Testolin
Alberto Testolin is a scholar working on Statistics and Probability, Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Oceanography, having authored 66 papers that have together received 890 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (15 papers), Neural Networks and Applications (14 papers), Topic Modeling (8 papers), Functional Brain Connectivity Studies (5 papers), Reading and Literacy Development (4 papers), Reinforcement Learning in Robotics (4 papers), Underwater Acoustics Research (4 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Statistics and Probability (189 citations), Cognitive Neuroscience (165 citations), Artificial Intelligence (171 citations), Computer Vision and Pattern Recognition (115 citations) and Computer Networks and Communications (102 citations). Alberto Testolin has collaborated with scholars based in Italy, Israel and United States. Frequent co-authors include Marco Zorzi, Michele De Filippo De Grazia, Ivilin Peev Stoianov, Roee Diamant, Michele Zorzi, Andréa Zanella, James L. McClelland, Will Y. Zou, Alessandro Sperduti and Daniele Munaretto. Their work appears in journals such as Scientific Reports, PLoS ONE, Developmental Science, Applied Sciences and Sensors.
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.