Alberto Testolin
Impact in
- Statistics and Probability top 2%
- Cognitive and developmental aspects of mathematical skills
- Developmental Biology top 10%
Papers in
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- Neural Networks and Applications 9
- Evolutionary Algorithms and Applications 6
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- Neural dynamics and brain function 8
- EEG and Brain-Computer Interfaces 7
- Functional Brain Connectivity Studies 6
- Co-authors
- Marco Zorzi (30 shared papers)Michele De Filippo De Grazia (12 shared papers)Roee Diamant (8 shared papers)Ivilin Peev Stoianov (6 shared papers)Michele Zorzi (7 shared papers)Andréa Zanella (6 shared papers)James L. McClelland (2 shared papers)Will Y. Zou (1 shared paper)
In The Last Decade
Alberto Testolin
57 papers receiving 762 citations
Peers
Comparison fields: 5 of 93
- Statistics and Probability 164
- Developmental Biology 24
- Cognitive Neuroscience 199
- Theoretical Computer Science 9
- Oceanography 82
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 87 | |
| 2 | 2018 | 54 | |
| 3 | 2013 | 51 | |
| 4 | 2020 | 42 | |
| 5 | 2017 | 41 | |
| 6 | 2017 | 38 | |
| 7 | 2020 | 34 | |
| 8 | 2016 | 34 | |
| 9 | 2014 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2020 | 27 | |
| 12 | 2013 | 23 | |
| 13 | 2021 | 23 | |
| 14 | 2023 | 23 | |
| 15 | 2023 | 18 | |
| 16 | 2017 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2015 | 14 | |
| 19 | 2022 | 13 | |
| 20 | 2020 | 12 |
About Alberto Testolin
Alberto Testolin is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Statistics and Probability, Oceanography and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 779 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (12 papers), Neural Networks and Applications (9 papers), Underwater Acoustics Research (8 papers), Neural dynamics and brain function (8 papers), Mathematics Education and Teaching Techniques (7 papers), EEG and Brain-Computer Interfaces (7 papers), Functional Brain Connectivity Studies (6 papers) and Evolutionary Algorithms and Applications (6 papers). The work is most often cited by research in Statistics and Probability (164 citations), Developmental Biology (24 citations), Cognitive Neuroscience (199 citations), Theoretical Computer Science (9 citations) and Oceanography (82 citations). Alberto Testolin has collaborated with scholars based in Italy, Israel and France. Frequent co-authors include Marco Zorzi, Michele De Filippo De Grazia, Roee Diamant, Ivilin Peev Stoianov, Michele Zorzi, Andréa Zanella, James L. McClelland, Will Y. Zou, Alessandro Sperduti and Federico Calesella. Their work appears in journals such as Scientific Reports, Nature Human Behaviour, Applied Sciences, Frontiers in Psychology 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.