Andrius Vabalas

1.9k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Andrius Vabalas is a scholar working on Cognitive Neuroscience, Epidemiology and Molecular Biology. According to data from OpenAlex, Andrius Vabalas has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 3 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Andrius Vabalas's work include Autism Spectrum Disorder Research (4 papers), Genetics and Neurodevelopmental Disorders (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Andrius Vabalas is often cited by papers focused on Autism Spectrum Disorder Research (4 papers), Genetics and Neurodevelopmental Disorders (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Andrius Vabalas collaborates with scholars based in United Kingdom, Finland and United States. Andrius Vabalas's co-authors include Alexander J. Casson, Emma Gowen, Ellen Poliakoff, Megan Freeth, Andrea Ganna, Tuomo Hartonen, Markus Perola, Catarina Almqvist, Kristi Krebs and Hanna M. Ollila and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Autism and Developmental Disorders.

In The Last Decade

Andrius Vabalas

8 papers receiving 1.2k citations

Hit Papers

Machine learning algorithm validation with a limited samp... 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrius Vabalas United Kingdom 7 254 152 131 108 91 9 1.2k
Matthew Lee United States 11 520 2.0× 196 1.3× 221 1.7× 82 0.8× 75 0.8× 39 1.1k
Ru‐Yuan Zhang China 18 418 1.6× 326 2.1× 130 1.0× 66 0.6× 66 0.7× 68 2.1k
Feiyan Chen China 27 625 2.5× 164 1.1× 118 0.9× 87 0.8× 87 1.0× 141 2.1k
Laura R. Marusich United States 12 350 1.4× 101 0.7× 78 0.6× 102 0.9× 68 0.7× 32 1.7k
Musa Hakan Asyalı Türkiye 19 232 0.9× 126 0.8× 61 0.5× 202 1.9× 41 0.5× 38 1.3k
Jochen Kruppa Germany 22 139 0.5× 281 1.8× 82 0.6× 310 2.9× 137 1.5× 47 2.0k
Daniela Conti Italy 23 208 0.8× 286 1.9× 85 0.6× 97 0.9× 105 1.2× 81 1.7k
Sonja Greven Germany 25 141 0.6× 337 2.2× 142 1.1× 179 1.7× 104 1.1× 64 2.6k
K. Papageorgiou Greece 23 111 0.4× 179 1.2× 135 1.0× 65 0.6× 32 0.4× 71 1.4k
Shirley Coleman United Kingdom 22 273 1.1× 54 0.4× 64 0.5× 132 1.2× 207 2.3× 77 2.6k

Countries citing papers authored by Andrius Vabalas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andrius Vabalas

This figure shows the co-authorship network connecting the top 25 collaborators of Andrius Vabalas. A scholar is included among the top collaborators of Andrius Vabalas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrius Vabalas. Andrius Vabalas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Moen, Hans, Vishnu Raj, Andrius Vabalas, et al.. (2025). Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model. Annals of Epidemiology. 111. 30–43.
2.
Vabalas, Andrius, Tuomo Hartonen, Sakari Jukarainen, et al.. (2024). Deep learning-based prediction of one-year mortality in Finland is an accurate but unfair aging marker. Nature Aging. 4(7). 1014–1027. 6 indexed citations
3.
Hartonen, Tuomo, Bradley Jermy, Kristi Krebs, et al.. (2023). Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in Finland. Nature Human Behaviour. 7(7). 1069–1083. 23 indexed citations
4.
Jukarainen, Sakari, Samuel Rhedin, Alexandra Prinz, et al.. (2023). Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model. The Lancet Digital Health. 5(11). e821–e830. 15 indexed citations
5.
Vabalas, Andrius, Emma Gowen, Ellen Poliakoff, & Alexander J. Casson. (2020). Applying Machine Learning to Kinematic and Eye Movement Features of a Movement Imitation Task to Predict Autism Diagnosis. Scientific Reports. 10(1). 8346–8346. 51 indexed citations
6.
Vabalas, Andrius, Emma Gowen, Ellen Poliakoff, & Alexander J. Casson. (2019). Machine learning algorithm validation with a limited sample size. PLoS ONE. 14(11). e0224365–e0224365. 998 indexed citations breakdown →
7.
Gowen, Emma, Andrius Vabalas, Alexander J. Casson, & Ellen Poliakoff. (2019). Instructions to attend to an observed action increase imitation in autistic adults. Autism. 24(3). 730–743. 15 indexed citations
8.
Vabalas, Andrius, Emma Gowen, Ellen Poliakoff, & Alexander J. Casson. (2019). Kinematic features of a simple and short movement task to predict autism diagnosis. PubMed. 2019. 1421–1424. 9 indexed citations
9.
Vabalas, Andrius & Megan Freeth. (2015). Brief Report: Patterns of Eye Movements in Face to Face Conversation are Associated with Autistic Traits: Evidence from a Student Sample. Journal of Autism and Developmental Disorders. 46(1). 305–314. 69 indexed citations

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.

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