Sofia M. Landi
Impact in
- Cognitive Neuroscience top 5%
- Motor Control and Adaptation
- Neural dynamics and brain function
- Face Recognition and Perception
- Functional Brain Connectivity Studies
- Visual perception and processing mechanisms
- Social Psychology top 10%
- Action Observation and Synchronization
Papers in
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- Motor Control and Adaptation 4
- Face Recognition and Perception 2
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- Vestibular and auditory disorders 3
- Co-authors
- Valeria Della‐Maggiore (4 shared papers)Winrich A. Freiwald (3 shared papers)Oscar E. Martínez (2 shared papers)Andrea V. Bragas (2 shared papers)Pooja Viswanathan (1 shared paper)Ana Fló (1 shared paper)Scott T. Grafton (1 shared paper)Hiromasa Takemura (1 shared paper)
- Journals
- Science (2 papers)Cerebral Cortex (2 papers)Applied Physics Letters (1 paper)Journal of Neuroscience (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesArgentinaBrazil
In The Last Decade
Sofia M. Landi
11 papers receiving 471 citations
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 321
- Social Psychology 105
- Neurology 39
- Radiology, Nuclear Medicine and Imaging 76
- Experimental and Cognitive Psychology 36
Countries citing papers authored by Sofia M. Landi
This map shows the geographic impact of Sofia M. Landi'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 Sofia M. Landi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia M. Landi more than expected).
Fields of papers citing papers by Sofia M. Landi
This network shows the impact of papers produced by Sofia M. Landi. 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 Sofia M. Landi. The network helps show where Sofia M. Landi may publish in the future.
Co-authors
The 18 scholars most cited alongside Sofia M. Landi, 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 | 2011 | 124 | |
| 2 | 2017 | 93 | |
| 3 | 2017 | 63 | |
| 4 | 2021 | 50 | |
| 5 | 1998 | 49 | |
| 6 | 2013 | 30 | |
| 7 | 2011 | 27 | |
| 8 | 2014 | 25 | |
| 9 | 1997 | 11 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 1 |
About Sofia M. Landi
Sofia M. Landi is a scholar working on Cognitive Neuroscience, Neurology, Cellular and Molecular Neuroscience, Social Psychology and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 474 indexed citations. Recurring topics across this work include Motor Control and Adaptation (4 papers), Vestibular and auditory disorders (3 papers), Face Recognition and Perception (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Force Microscopy Techniques and Applications (2 papers), Surface and Thin Film Phenomena (2 papers) and Action Observation and Synchronization (2 papers). The work is most often cited by research in Cognitive Neuroscience (321 citations), Social Psychology (105 citations), Neurology (39 citations), Radiology, Nuclear Medicine and Imaging (76 citations) and Experimental and Cognitive Psychology (36 citations). Sofia M. Landi has collaborated with scholars based in United States, Argentina and Brazil. Frequent co-authors include Valeria Della‐Maggiore, Winrich A. Freiwald, Oscar E. Martínez, Andrea V. Bragas, Pooja Viswanathan, Ana Fló, Scott T. Grafton, Hiromasa Takemura, Kevin S. Weiner and Frank Q. Ye. Their work appears in journals such as Science, Cerebral Cortex, Applied Physics Letters, Journal of Neuroscience and PLoS ONE.
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.