Nina de Lacy

790 total citations
18 papers, 506 citations indexed

About

Nina de Lacy is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Nina de Lacy has authored 18 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Psychiatry and Mental health. Recurrent topics in Nina de Lacy's work include Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Attention Deficit Hyperactivity Disorder (3 papers). Nina de Lacy is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Attention Deficit Hyperactivity Disorder (3 papers). Nina de Lacy collaborates with scholars based in United States, Russia and China. Nina de Lacy's co-authors include Vince D. Calhoun, Bryan H. King, Srinivas Rachakonda, J. Nathan Kutz, Dan Doherty, Elizabeth McCauley, Yuhui Du, Jing Sui, Yiheng Tu and Bharat B. Biswal and has published in prestigious journals such as NeuroImage, Human Brain Mapping and Journal of Neurotrauma.

In The Last Decade

Nina de Lacy

16 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nina de Lacy United States	10	403	148	88	80	45	18	506
Mariam Zabihi United Kingdom	7	346 0.9×	113 0.8×	99 1.1×	110 1.4×	39 0.9×	8	471
Peter Kochunov United States	9	306 0.8×	245 1.7×	73 0.8×	54 0.7×	46 1.0×	10	526
Michael Stockman United States	6	342 0.8×	199 1.3×	85 1.0×	58 0.7×	29 0.6×	6	482
Naohiro Okada Japan	17	413 1.0×	315 2.1×	197 2.2×	79 1.0×	36 0.8×	49	701
David Mothersill Ireland	13	371 0.9×	176 1.2×	188 2.1×	112 1.4×	42 0.9×	30	670
Chandan Shah China	13	385 1.0×	218 1.5×	188 2.1×	94 1.2×	47 1.0×	17	589
Seyed Amir Hossein Batouli Iran	13	252 0.6×	109 0.7×	91 1.0×	46 0.6×	33 0.7×	59	493
Kylie H. Alm United States	12	321 0.8×	293 2.0×	85 1.0×	51 0.6×	14 0.3×	18	537
Walid Yassin United States	10	192 0.5×	61 0.4×	114 1.3×	39 0.5×	40 0.9×	29	383

Countries citing papers authored by Nina de Lacy

Since Specialization

Citations

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

Fields of papers citing papers by Nina de Lacy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina de Lacy. 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 Nina de Lacy. The network helps show where Nina de Lacy may publish in the future.

Co-authorship network of co-authors of Nina de Lacy

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Lacy, Nina de, et al.. (2025). Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI. Frontiers in Psychiatry. 16. 1487894–1487894.

Lacy, Nina de, et al.. (2025). RiskPath: Explainable deep learning for multistep biomedical prediction in longitudinal data. Patterns. 6(8). 101240–101240.

Lacy, Nina de, et al.. (2023). Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence. Translational Psychiatry. 13(1). 314–314. 15 indexed citations

Lacy, Nina de, et al.. (2023). Selectively predicting the onset of ADHD, oppositional defiant disorder, and conduct disorder in early adolescence with high accuracy. Frontiers in Psychiatry. 14. 1280326–1280326. 5 indexed citations

Lacy, Nina de, et al.. (2022). Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine Learning. Frontiers in Artificial Intelligence. 5. 832530–832530. 9 indexed citations

Lacy, Nina de, J. Nathan Kutz, & Vince D. Calhoun. (2020). Sex-related differences in brain dynamism at rest as neural correlates of positive and negative valence system constructs. Cognitive Neuroscience. 12(3-4). 131–154. 3 indexed citations

Lacy, Nina de, Elizabeth McCauley, J. Nathan Kutz, & Vince D. Calhoun. (2019). Multilevel Mapping of Sexual Dimorphism in Intrinsic Functional Brain Networks. Frontiers in Neuroscience. 13. 332–332. 21 indexed citations

Lacy, Nina de, Elizabeth McCauley, J. Nathan Kutz, & Vince D. Calhoun. (2019). Sex-related differences in intrinsic brain dynamism and their neurocognitive correlates. NeuroImage. 202. 116116–116116. 30 indexed citations

Donald, Christine L. Mac, Jason Barber, Jason Wright, et al.. (2018). Quantitative Volumetric Imaging and Clinical Outcome Characterization of Symptomatic Concussion in 10- to 14-Year-Old Adolescent Athletes. Journal of Head Trauma Rehabilitation. 33(6). E1–E10. 8 indexed citations

10.

Donald, Christine L. Mac, Jason Barber, Jason Wright, et al.. (2018). Longitudinal Clinical and Neuroimaging Evaluation of Symptomatic Concussion in 10- to 14-Year-Old Youth Athletes. Journal of Neurotrauma. 36(2). 264–274. 22 indexed citations

11.

Fu, Zening, Yiheng Tu, Xin Di, et al.. (2018). Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism. NeuroImage. 190. 191–204. 92 indexed citations

12.

Lacy, Nina de, et al.. (2018). Intellectual Disability and Psychotropic Medications. Journal of Developmental & Behavioral Pediatrics. 39(7). 591–593. 3 indexed citations

13.

Lacy, Nina de, Ian Kodish, Srinivas Rachakonda, & Vince D. Calhoun. (2018). Novel in silico multivariate mapping of intrinsic and anticorrelated connectivity to neurocognitive functional maps supports the maturational hypothesis of ADHD. Human Brain Mapping. 39(8). 3449–3467. 13 indexed citations

14.

Lacy, Nina de & Vince D. Calhoun. (2018). Dynamic connectivity and the effects of maturation in youth with attention deficit hyperactivity disorder. Network Neuroscience. 3(1). 195–216. 36 indexed citations

15.

Lacy, Nina de, et al.. (2017). Disruption to control network function correlates with altered dynamic connectivity in the wider autism spectrum. NeuroImage Clinical. 15. 513–524. 84 indexed citations

16.

Calhoun, Vince D. & Nina de Lacy. (2017). Ten Key Observations on the Analysis of Resting-state Functional MR Imaging Data Using Independent Component Analysis. Neuroimaging Clinics of North America. 27(4). 561–579. 83 indexed citations

17.

King, Bryan H., Nina de Lacy, & Matthew Siegel. (2013). Psychiatric Assessment of Severe Presentations in Autism Spectrum Disorders and Intellectual Disability. Child and Adolescent Psychiatric Clinics of North America. 23(1). 1–14. 9 indexed citations

18.

Lacy, Nina de & Bryan H. King. (2013). Revisiting the Relationship Between Autism and Schizophrenia: Toward an Integrated Neurobiology. Annual Review of Clinical Psychology. 9(1). 555–587. 73 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.

Explore authors with similar magnitude of impact