M. Pellicoro
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
Papers in
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- Particle physics theoretical and experimental studies 18
- Quantum Chromodynamics and Particle Interactions 18
- High-Energy Particle Collisions Research 16
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- Neural dynamics and brain function 13
- Functional Brain Connectivity Studies 8
- Co-authors
- Sebastiano Stramaglia (36 shared papers)Daniele Marinazzo (26 shared papers)Leonardo Angelini (40 shared papers)L. Nitti (27 shared papers)Marina de Tommaso (9 shared papers)Guo‐Rong Wu (4 shared papers)Marco Guido (4 shared papers)G. Preparata (18 shared papers)
In The Last Decade
M. Pellicoro
70 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 652
- Statistical and Nonlinear Physics 245
- Nuclear and High Energy Physics 143
- Psychiatry and Mental health 168
- Signal Processing 103
Countries citing papers authored by M. Pellicoro
This map shows the geographic impact of M. Pellicoro'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 M. Pellicoro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Pellicoro more than expected).
Fields of papers citing papers by M. Pellicoro
This network shows the impact of papers produced by M. Pellicoro. 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 M. Pellicoro. The network helps show where M. Pellicoro may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Pellicoro, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 285 | |
| 2 | 2008 | 123 | |
| 3 | 2004 | 89 | |
| 4 | 2012 | 58 | |
| 5 | 2014 | 57 | |
| 6 | 2007 | 57 | |
| 7 | 2006 | 56 | |
| 8 | 2012 | 53 | |
| 9 | 2009 | 47 | |
| 10 | 2013 | 47 | |
| 11 | 2005 | 40 | |
| 12 | 2010 | 30 | |
| 13 | 2007 | 29 | |
| 14 | 2017 | 27 | |
| 15 | 2000 | 25 | |
| 16 | 2007 | 25 | |
| 17 | 2003 | 24 | |
| 18 | 2017 | 24 | |
| 19 | 2012 | 17 | |
| 20 | 2019 | 16 |
About M. Pellicoro
M. Pellicoro is a scholar working on Nuclear and High Energy Physics, Cognitive Neuroscience, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (18 papers), Quantum Chromodynamics and Particle Interactions (18 papers), High-Energy Particle Collisions Research (16 papers), Neural dynamics and brain function (13 papers), Neural Networks and Applications (10 papers), Theoretical and Computational Physics (8 papers), Complex Systems and Time Series Analysis (8 papers) and Functional Brain Connectivity Studies (8 papers). The work is most often cited by research in Cognitive Neuroscience (652 citations), Statistical and Nonlinear Physics (245 citations), Nuclear and High Energy Physics (143 citations), Psychiatry and Mental health (168 citations) and Signal Processing (103 citations). M. Pellicoro has collaborated with scholars based in Italy, Belgium and China. Frequent co-authors include Sebastiano Stramaglia, Daniele Marinazzo, Leonardo Angelini, L. Nitti, Marina de Tommaso, Guo‐Rong Wu, Marco Guido, G. Preparata, Jesús M. Cortés and G. Nardulli. Their work appears in journals such as Physics Letters B, Physica A Statistical Mechanics and its Applications, Physical Review Letters, Physics Letters A and Computer Physics Communications.
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.