Daniel Papoti
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Face Recognition and Perception
- Visual perception and processing mechanisms
Papers in
-
- Neural dynamics and brain function 4
- Functional Brain Connectivity Studies 3
- Face Recognition and Perception 1
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- Advanced MRI Techniques and Applications 5
- Advanced Neuroimaging Techniques and Applications 2
- Co-authors
- Afonso C. Silva (9 shared papers)Cecil Chern‐Chyi Yen (6 shared papers)David A. Leopold (4 shared papers)Nicholas A. Bock (3 shared papers)Chia-Chun Hung (2 shared papers)Hellmut Merkle (1 shared paper)Alberto Tannús (4 shared papers)Luciene Covolan (1 shared paper)
- Journals
- NeuroImage (3 papers)Epilepsy Research (1 paper)NMR in Biomedicine (1 paper)Alzheimer s & Dementia (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Daniel Papoti
11 papers receiving 292 citations
Peers
Comparison fields: 5 of 50
- Cognitive Neuroscience 191
- Developmental Biology 14
- Radiology, Nuclear Medicine and Imaging 83
- Cellular and Molecular Neuroscience 48
- Social Psychology 54
Countries citing papers authored by Daniel Papoti
This map shows the geographic impact of Daniel Papoti'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 Daniel Papoti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Papoti more than expected).
Fields of papers citing papers by Daniel Papoti
This network shows the impact of papers produced by Daniel Papoti. 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 Daniel Papoti. The network helps show where Daniel Papoti may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Papoti, 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 | 2015 | 109 | |
| 2 | 2015 | 48 | |
| 3 | 2013 | 34 | |
| 4 | 2011 | 32 | |
| 5 | 2016 | 19 | |
| 6 | 2017 | 17 | |
| 7 | 2017 | 17 | |
| 8 | 2010 | 7 | |
| 9 | 2019 | 6 | |
| 10 | 2023 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2010 | 0 | |
| 13 | 2024 | 0 |
About Daniel Papoti
Daniel Papoti is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Molecular Biology and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 292 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Neural dynamics and brain function (4 papers), Functional Brain Connectivity Studies (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Advanced NMR Techniques and Applications (2 papers), Face Recognition and Perception (1 paper), NMR spectroscopy and applications (1 paper) and Epilepsy research and treatment (1 paper). The work is most often cited by research in Cognitive Neuroscience (191 citations), Developmental Biology (14 citations), Radiology, Nuclear Medicine and Imaging (83 citations), Cellular and Molecular Neuroscience (48 citations) and Social Psychology (54 citations). Daniel Papoti has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Afonso C. Silva, Cecil Chern‐Chyi Yen, David A. Leopold, Nicholas A. Bock, Chia-Chun Hung, Hellmut Merkle, Alberto Tannús, Luciene Covolan, Miriam Marcela Blanco and María Elisa Calcagnotto. Their work appears in journals such as NeuroImage, Epilepsy Research, NMR in Biomedicine, Alzheimer s & Dementia and Journal of Neuroscience.
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.