Pablo Polosecki
Impact in
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- Face Recognition and Perception
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in
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- Functional Brain Connectivity Studies 4
- Face Recognition and Perception 1
- Neural dynamics and brain function 1
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- Genetic Neurodegenerative Diseases 4
- Co-authors
- Guillermo Cecchi (9 shared papers)Doris Y. Tsao (1 shared paper)Winrich A. Freiwald (1 shared paper)Lizabeth M. Romanski (1 shared paper)Sebastian Moeller (1 shared paper)M. Claudia Marchi (1 shared paper)Roberto Candal (1 shared paper)Mariano Escobar (1 shared paper)
- Journals
- Schizophrenia (1 paper)Applied Surface Science (1 paper)NeuroImage Clinical (1 paper)Journal of Neuroscience (1 paper)IBM Journal of Research and Development (1 paper)
- Partner nations
- United StatesArgentinaCanada
In The Last Decade
Pablo Polosecki
11 papers receiving 210 citations
Peers
Comparison fields: 5 of 53
- Cognitive Neuroscience 88
- Health Informatics 4
- Cellular and Molecular Neuroscience 33
- Physiology 44
- Pharmacology 22
Countries citing papers authored by Pablo Polosecki
This map shows the geographic impact of Pablo Polosecki'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 Pablo Polosecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Polosecki more than expected).
Fields of papers citing papers by Pablo Polosecki
This network shows the impact of papers produced by Pablo Polosecki. 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 Pablo Polosecki. The network helps show where Pablo Polosecki may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo Polosecki, 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 | 2020 | 63 | |
| 2 | 2007 | 53 | |
| 3 | 2013 | 46 | |
| 4 | 2017 | 22 | |
| 5 | 2020 | 13 | |
| 6 | 2018 | 6 | |
| 7 | Unsupervised Morphological Segmentation for Detecting Parkinson's Disease. | 2018 | 3 |
| 8 | 2021 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2017 | 1 |
About Pablo Polosecki
Pablo Polosecki is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 11 papers that have together received 211 indexed citations. Recurring topics across this work include Neurological disorders and treatments (4 papers), Genetic Neurodegenerative Diseases (4 papers), Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Advanced MRI Techniques and Applications (2 papers), Face Recognition and Perception (1 paper), Mitochondrial Function and Pathology (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Cognitive Neuroscience (88 citations), Health Informatics (4 citations), Cellular and Molecular Neuroscience (33 citations), Physiology (44 citations) and Pharmacology (22 citations). Pablo Polosecki has collaborated with scholars based in United States, Argentina and Canada. Frequent co-authors include Guillermo Cecchi, Doris Y. Tsao, Winrich A. Freiwald, Lizabeth M. Romanski, Sebastian Moeller, M. Claudia Marchi, Roberto Candal, Mariano Escobar, G.H. Rubiolo and Silvia Goyanes. Their work appears in journals such as Schizophrenia, Applied Surface Science, NeuroImage Clinical, Journal of Neuroscience and IBM Journal of Research and Development.
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.