Roberto Prevete
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Neural Networks and Applications
- Semantic Web and Ontologies
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
-
- Neural Networks and Applications 13
- Natural Language Processing Techniques 8
- Topic Modeling 8
-
- EEG and Brain-Computer Interfaces 15
- Motor Control and Adaptation 9
- Neural dynamics and brain function 8
- Co-authors
- Andrea Apicella (25 shared papers)Francesco Isgrò (18 shared papers)Francesco Donnarumma (16 shared papers)Bernardo Magnini (8 shared papers)Hristo Tanev (6 shared papers)Matteo Negri (7 shared papers)Pasquale Arpaïa (17 shared papers)Nicola Moccaldi (6 shared papers)
- Journals
- IEEE Access (3 papers)Scientific Reports (3 papers)Neurocomputing (3 papers)International Journal of Neural Systems (2 papers)Neural Networks (2 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Roberto Prevete
71 papers receiving 1.3k citations
Roberto Prevete's Hit Papers
Peers
Comparison fields: 5 of 151
- Artificial Intelligence 496
- Cognitive Neuroscience 255
- Health Informatics 15
- Health Information Management 47
- Computer Vision and Pattern Recognition 149
Countries citing papers authored by Roberto Prevete
This map shows the geographic impact of Roberto Prevete'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 Roberto Prevete with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Prevete more than expected).
Fields of papers citing papers by Roberto Prevete
This network shows the impact of papers produced by Roberto Prevete. 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 Roberto Prevete. The network helps show where Roberto Prevete may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Prevete, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey on modern trainable activation functions Hit paper breakdown → | 2021 | 357 |
| 2 | 2001 | 132 | |
| 3 | 2020 | 107 | |
| 4 | 2015 | 51 | |
| 5 | 2023 | 38 | |
| 6 | 2002 | 35 | |
| 7 | 2022 | 34 | |
| 8 | 2023 | 29 | |
| 9 | 2020 | 28 | |
| 10 | 2020 | 26 | |
| 11 | 2022 | 25 | |
| 12 | 2018 | 22 | |
| 13 | 2023 | 21 | |
| 14 | 2019 | 21 | |
| 15 | Multilingual Question/Answering: the DIOGENE System. | 2001 | 20 |
| 16 | 2023 | 19 | |
| 17 | 2023 | 18 | |
| 18 | Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002. | 2002 | 18 |
| 19 | 2010 | 17 | |
| 20 | 2015 | 16 |
About Roberto Prevete
Roberto Prevete is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Social Psychology and Control and Systems Engineering, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Neural Networks and Applications (13 papers), Action Observation and Synchronization (9 papers), Motor Control and Adaptation (9 papers), Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers), Neural dynamics and brain function (8 papers) and Advanced Memory and Neural Computing (7 papers). The work is most often cited by research in Artificial Intelligence (496 citations), Cognitive Neuroscience (255 citations), Health Informatics (15 citations), Health Information Management (47 citations) and Computer Vision and Pattern Recognition (149 citations). Roberto Prevete has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Andrea Apicella, Francesco Isgrò, Francesco Donnarumma, Bernardo Magnini, Hristo Tanev, Matteo Negri, Pasquale Arpaïa, Nicola Moccaldi, Annarita Tedesco and Egidio De Benedetto. Their work appears in journals such as IEEE Access, Scientific Reports, Neurocomputing, International Journal of Neural Systems and Neural Networks.
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.