Andrius Vabalas
Impact in
- Health Informatics top 10%
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Face Recognition and Perception
Papers in
-
- Autism Spectrum Disorder Research 4
- Health 2
- Vaccine Coverage and Hesitancy 1
- Co-authors
- Alex Casson (4 shared papers)Emma Gowen (4 shared papers)Ellen Poliakoff (4 shared papers)Megan Freeth (1 shared paper)Andrea Ganna (3 shared papers)Sakari Jukarainen (2 shared papers)Pekka Vartiainen (2 shared papers)Tuomo Hartonen (2 shared papers)
- Journals
- Autism (1 paper)Nature Human Behaviour (1 paper)Annals of Epidemiology (1 paper)Journal of Autism and Developmental Disorders (1 paper)The Lancet Digital Health (1 paper)
- Partner nations
- United KingdomFinlandUnited States
In The Last Decade
Andrius Vabalas
10 papers receiving 1.4k citations
Andrius Vabalas's Hit Papers
Peers
Comparison fields: 5 of 188
- Health Informatics 26
- Cognitive Neuroscience 251
- Health Information Management 25
- Experimental and Cognitive Psychology 66
- Radiology, Nuclear Medicine and Imaging 104
Countries citing papers authored by Andrius Vabalas
This map shows the geographic impact of Andrius Vabalas'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 Andrius Vabalas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrius Vabalas more than expected).
Fields of papers citing papers by Andrius Vabalas
This network shows the impact of papers produced by Andrius Vabalas. 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 Andrius Vabalas. The network helps show where Andrius Vabalas may publish in the future.
Co-authors
The 23 scholars most cited alongside Andrius Vabalas, 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 | Machine learning algorithm validation with a limited sample size Hit paper breakdown → | 2019 | 1208 |
| 2 | 2015 | 70 | |
| 3 | 2020 | 58 | |
| 4 | 2023 | 25 | |
| 5 | 2023 | 21 | |
| 6 | 2019 | 16 | |
| 7 | 2023 | 16 | |
| 8 | 2019 | 9 | |
| 9 | 2024 | 7 | |
| 10 | 2025 | 1 |
About Andrius Vabalas
Andrius Vabalas is a scholar working on Cognitive Neuroscience, Health, Epidemiology, Geriatrics and Gerontology and Artificial Intelligence, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (4 papers), Machine Learning in Healthcare (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Behavioral and Psychological Studies (1 paper), Machine Learning and Data Classification (1 paper), Vaccine Coverage and Hesitancy (1 paper), Gene expression and cancer classification (1 paper) and Chronic Disease Management Strategies (1 paper). The work is most often cited by research in Health Informatics (26 citations), Cognitive Neuroscience (251 citations), Health Information Management (25 citations), Experimental and Cognitive Psychology (66 citations) and Radiology, Nuclear Medicine and Imaging (104 citations). Andrius Vabalas has collaborated with scholars based in United Kingdom, Finland and United States. Frequent co-authors include Alex Casson, Emma Gowen, Ellen Poliakoff, Megan Freeth, Andrea Ganna, Sakari Jukarainen, Pekka Vartiainen, Tuomo Hartonen, Rodosthenis S. Rodosthenous and Aoxing Liu. Their work appears in journals such as Autism, Nature Human Behaviour, Annals of Epidemiology, Journal of Autism and Developmental Disorders and The Lancet Digital Health.
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.