Aki Nikolaidis

2.0k total citations · 1 hit paper
27 papers, 868 citations indexed

About

Aki Nikolaidis is a scholar working on Cognitive Neuroscience, Clinical Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Aki Nikolaidis has authored 27 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 10 papers in Clinical Psychology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Aki Nikolaidis's work include Functional Brain Connectivity Studies (15 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Advanced MRI Techniques and Applications (6 papers). Aki Nikolaidis is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Advanced MRI Techniques and Applications (6 papers). Aki Nikolaidis collaborates with scholars based in United States, Canada and United Kingdom. Aki Nikolaidis's co-authors include Michael P. Milham, Diana Paksarian, Jeremy R. Gray, Joshua T Vogelstein, F. Xavier Castellanos, Arthur F. Kramer, Kathleen R. Merikangas, Sheng‐Fang Jiang, Winston Chung and Jacob DeRosa and has published in prestigious journals such as NeuroImage, Nature Methods and Scientific Reports.

In The Last Decade

Aki Nikolaidis

25 papers receiving 856 citations

Hit Papers

The Coronavirus Health and Impact Survey (CRISIS) reveals... 2021 2026 2022 2024 2021 50 100 150

Peers

Aki Nikolaidis
Min-Hyeon Park South Korea
Rajpreet Chahal United States
Jinyao Yi China
Jeanyung Chey South Korea
Seung Jae Lee South Korea
John C. Flournoy United States
Laura Moreno-López United Kingdom
Dominik A. Moser Switzerland
Alexander Weigard United States
Min-Hyeon Park South Korea
Aki Nikolaidis
Citations per year, relative to Aki Nikolaidis Aki Nikolaidis (= 1×) peers Min-Hyeon Park

Countries citing papers authored by Aki Nikolaidis

Since Specialization
Citations

This map shows the geographic impact of Aki Nikolaidis'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 Aki Nikolaidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aki Nikolaidis more than expected).

Fields of papers citing papers by Aki Nikolaidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aki Nikolaidis. 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 Aki Nikolaidis. The network helps show where Aki Nikolaidis may publish in the future.

Co-authorship network of co-authors of Aki Nikolaidis

This figure shows the co-authorship network connecting the top 25 collaborators of Aki Nikolaidis. A scholar is included among the top collaborators of Aki Nikolaidis 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 Aki Nikolaidis. Aki Nikolaidis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lancelotta, Rafael, David I. Quinn, Natalie Gukasyan, et al.. (2025). Exploring Self-Reported Effects of Naturalistic Psychedelic Use Among Gender and Sexual Minorities: A Quantitative Survey Study. Journal of Psychoactive Drugs. 1–14. 2 indexed citations
2.
Vannucci, Anna, Andrea Fields, Charlotte Heleniak, et al.. (2025). Machine learning for identifying caregiving adversities associated with greatest risk for mental health problems in children. Nature Mental Health. 3(1). 71–82. 5 indexed citations
3.
DeRosa, Jacob, Keri S. Rosch, Stewart H. Mostofsky, & Aki Nikolaidis. (2023). Developmental deviation in delay discounting as a transdiagnostic indicator of risk for child psychopathology. Journal of Child Psychology and Psychiatry. 65(2). 148–164. 6 indexed citations
4.
Xu, Ting, Gregory Kiar, Jae Wook Cho, et al.. (2023). ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differences. Nature Methods. 20(7). 1025–1028. 15 indexed citations
5.
Conway, Kevin P., Diana Paksarian, Aki Nikolaidis, et al.. (2023). Association between COVID-19 risk-mitigation behaviors and specific mental disorders in youth. Child and Adolescent Psychiatry and Mental Health. 17(1). 14–14. 5 indexed citations
6.
Davis, Alan K., Christopher Timmermann, Rafael Lancelotta, et al.. (2023). Translation and Initial Psychometric Evaluation of Spanish Versions of Three Psychedelic Acute Effects Measures: Mystical, Challenging, and Insight Experiences. Journal of Psychoactive Drugs. 56(4). 456–466. 1 indexed citations
7.
Nikolaidis, Aki, et al.. (2022). Frontal corticostriatal functional connectivity reveals task positive and negative network dysregulation in relation to ADHD, sex, and inhibitory control. Developmental Cognitive Neuroscience. 54. 101101–101101. 16 indexed citations
8.
Nikolaidis, Aki, Rafael Lancelotta, Natalie Gukasyan, et al.. (2022). Subtypes of the psychedelic experience have reproducible and predictable effects on depression and anxiety symptoms. Journal of Affective Disorders. 324. 239–249. 12 indexed citations
9.
Nikolaidis, Aki, Jacob DeRosa, Lindsay Alexander, et al.. (2022). Heterogeneity in COVID-19 pandemic-induced lifestyle stressors predicts future mental health in adults and children in the US and UK. Journal of Psychiatric Research. 147. 291–300. 29 indexed citations
10.
Nikolaidis, Aki, Charlotte Heleniak, Andrea Fields, et al.. (2022). Heterogeneity in caregiving-related early adversity: Creating stable dimensions and subtypes. Development and Psychopathology. 34(2). 621–634. 16 indexed citations
11.
Bridgeford, Eric, et al.. (2021). Standardizing human brain parcellations. Scientific Data. 8(1). 78–78. 28 indexed citations
12.
13.
Nikolaidis, Aki, Diana Paksarian, Lindsay Alexander, et al.. (2021). The Coronavirus Health and Impact Survey (CRISIS) reveals reproducible correlates of pandemic-related mood states across the Atlantic. Scientific Reports. 11(1). 8139–8139. 173 indexed citations breakdown →
14.
Hong, Seok‐Jun, Ting Xu, Aki Nikolaidis, et al.. (2020). Toward a connectivity gradient-based framework for reproducible biomarker discovery. NeuroImage. 223. 117322–117322. 95 indexed citations
15.
Nikolaidis, Aki, Anibal Sólon Heinsfeld, Ting Xu, et al.. (2020). Bagging improves reproducibility of functional parcellation of the human brain. NeuroImage. 214. 116678–116678. 29 indexed citations
16.
García-García, Manuel, Aki Nikolaidis, Pierre Bellec, et al.. (2017). Detecting stable individual differences in the functional organization of the human basal ganglia. NeuroImage. 170. 68–82. 12 indexed citations
17.
Nikolaidis, Aki, Pauline L. Baniqued, Michael Kranz, et al.. (2016). Multivariate Associations of Fluid Intelligence and NAA. Cerebral Cortex. 27(4). bhw070–bhw070. 21 indexed citations
18.
Paul, Erick J., Ryan J. Larsen, Aki Nikolaidis, et al.. (2016). Dissociable brain biomarkers of fluid intelligence. NeuroImage. 137. 201–211. 22 indexed citations
19.
Larsen, Ryan J., Michael Newman, & Aki Nikolaidis. (2016). Reduction of variance in measurements of average metabolite concentration in anatomically-defined brain regions. Journal of Magnetic Resonance. 272. 73–81. 6 indexed citations
20.
Nikolaidis, Aki, et al.. (2014). Parietal plasticity after training with a complex video game is associated with individual differences in improvements in an untrained working memory task. Frontiers in Human Neuroscience. 8. 169–169. 40 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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