Massimo Mascaro
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Motor Control and Adaptation
- EEG and Brain-Computer Interfaces
- Visual perception and processing mechanisms
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
-
- Neural dynamics and brain function 5
- Visual perception and processing mechanisms 5
- Motor Control and Adaptation 2
- Spatial Neglect and Hemispheric Dysfunction 2
- Face Recognition and Perception 1
-
- Neural Networks and Applications 2
- Co-authors
- Yali Amit (2 shared papers)Alexandra Battaglia‐Mayer (2 shared papers)Roberto Caminiti (2 shared papers)Daniel J. Amit (2 shared papers)David C. Bradley (2 shared papers)Philip R. Troyk (1 shared paper)Conrad Kufta (1 shared paper)Hong Xu (1 shared paper)
- Journals
- Cerebral Cortex (3 papers)Network Computation in Neural Systems (2 papers)Vision Research (1 paper)Journal of Neurophysiology (1 paper)Neural Computation (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
Massimo Mascaro
9 papers receiving 309 citations
Peers
Comparison fields: 5 of 45
- Cognitive Neuroscience 255
- Cellular and Molecular Neuroscience 147
- Neurology 15
- Social Psychology 37
- Electrical and Electronic Engineering 83
Countries citing papers authored by Massimo Mascaro
This map shows the geographic impact of Massimo Mascaro'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 Massimo Mascaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Mascaro more than expected).
Fields of papers citing papers by Massimo Mascaro
This network shows the impact of papers produced by Massimo Mascaro. 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 Massimo Mascaro. The network helps show where Massimo Mascaro may publish in the future.
Co-authors
The 16 scholars most cited alongside Massimo Mascaro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 120 | |
| 2 | 2004 | 41 | |
| 3 | 2006 | 35 | |
| 4 | 2003 | 32 | |
| 5 | 2003 | 30 | |
| 6 | 1999 | 27 | |
| 7 | 2001 | 17 | |
| 8 | 2004 | 11 | |
| 9 | 1999 | 8 |
About Massimo Mascaro
Massimo Mascaro is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Computer Networks and Communications, Cellular and Molecular Neuroscience and Control and Systems Engineering, having authored 9 papers that have together received 321 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (5 papers), Neural Networks and Applications (2 papers), Motor Control and Adaptation (2 papers), Spatial Neglect and Hemispheric Dysfunction (2 papers), Neuroscience and Neural Engineering (1 paper), Face Recognition and Perception (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Cognitive Neuroscience (255 citations), Cellular and Molecular Neuroscience (147 citations), Neurology (15 citations), Social Psychology (37 citations) and Electrical and Electronic Engineering (83 citations). Massimo Mascaro has collaborated with scholars based in Italy and United States. Frequent co-authors include Yali Amit, Alexandra Battaglia‐Mayer, Roberto Caminiti, Daniel J. Amit, David C. Bradley, Philip R. Troyk, Conrad Kufta, Hong Xu, Vernon L. Towle and Robert K. Erickson. Their work appears in journals such as Cerebral Cortex, Network Computation in Neural Systems, Vision Research, Journal of Neurophysiology and Neural Computation.
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.