Martin Styner

31.2k total citations · 6 hit papers
473 papers, 17.7k citations indexed

About

Martin Styner is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Martin Styner has authored 473 papers receiving a total of 17.7k indexed citations (citations by other indexed papers that have themselves been cited), including 167 papers in Radiology, Nuclear Medicine and Imaging, 112 papers in Computer Vision and Pattern Recognition and 108 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Martin Styner's work include Advanced Neuroimaging Techniques and Applications (143 papers), Medical Image Segmentation Techniques (94 papers) and Functional Brain Connectivity Studies (75 papers). Martin Styner is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (143 papers), Medical Image Segmentation Techniques (94 papers) and Functional Brain Connectivity Studies (75 papers). Martin Styner collaborates with scholars based in United States, Canada and Switzerland. Martin Styner's co-authors include Guido Gerig, John H. Gilmore, William R. Proffit, Hongtu Zhu, Lucía Cevidanes, Rebecca Knickmeyer, İpek Oğuz, Joseph Piven, Heather C. Hazlett and Weili Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Martin Styner

432 papers receiving 17.4k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Differences in White Matter Fiber Tract Development Present From 6 to 24 Months in Infants With Autism

2012 474 citations Guido Gerig, Martin Styner et al. profile →
Imaging Patients with Psychosis and a Mouse Model Establishes a Spreading Pattern of Hippocampal Dysfunction and Implicates Glutamate as a Driver

2013 400 citations Beatriz Paniagua, Martin Styner et al. profile →
Quicksilver: Fast predictive image registration – A deep learning approach

2017 384 citations Martin Styner, Marc Niethammer et al. profile →
Infant Gut Microbiome Associated With Cognitive Development

2017 380 citations Mihye Ahn, Martin Styner et al. profile →
Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM.

2006 301 citations Martin Styner, Guido Gerig et al. profile →
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development

2018 243 citations Martin Styner, John H. Gilmore et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Styner United States	73	4.7k	4.3k	3.3k	2.3k	2.0k	473	17.7k
Guido Gerig United States	69	5.3k 1.1×	9.0k 2.1×	3.5k 1.1×	5.8k 2.5×	1.4k 0.7×	282	23.4k
Li Wang China	68	3.7k 0.8×	4.9k 1.1×	2.0k 0.6×	4.8k 2.0×	2.5k 1.2×	828	18.6k
Paul A. Yushkevich United States	45	4.3k 0.9×	7.9k 1.8×	1.7k 0.5×	3.2k 1.4×	912 0.4×	218	18.2k
Ron Kikinis United States	86	7.3k 1.6×	14.6k 3.4×	3.3k 1.0×	6.6k 2.8×	1.4k 0.7×	377	35.7k
James C. Gee United States	64	9.3k 2.0×	14.3k 3.3×	3.1k 0.9×	5.3k 2.3×	1.9k 1.0×	370	33.1k
Heather C. Hazlett United States	38	4.2k 0.9×	3.2k 0.7×	1.1k 0.3×	889 0.4×	1.4k 0.7×	90	11.2k
Joseph Piven United States	71	12.9k 2.8×	3.6k 0.8×	1.9k 0.6×	1.0k 0.4×	2.3k 1.1×	206	21.7k
Sébastien Ourselin United Kingdom	76	3.7k 0.8×	10.2k 2.3×	1.7k 0.5×	5.1k 2.2×	1.4k 0.7×	812	26.7k
Simon K. Warfield United States	68	2.1k 0.4×	7.8k 1.8×	7.7k 2.3×	4.6k 2.0×	848 0.4×	449	21.5k
Ferenc A. Jólesz United States	119	7.3k 1.6×	21.0k 4.8×	3.4k 1.0×	4.4k 1.9×	2.1k 1.0×	459	44.8k

Countries citing papers authored by Martin Styner

Since Specialization

Citations

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

Fields of papers citing papers by Martin Styner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Styner

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Styner. A scholar is included among the top collaborators of Martin Styner 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 Martin Styner. Martin Styner 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:

20 of 20 papers shown

Mahmood, Ahsan, Junier B. Oliva, & Martin Styner. (2024). Anomaly detection via Gumbel Noise Score Matching. Frontiers in Artificial Intelligence. 7. 1441205–1441205.

Styner, Martin, Li‐Ming Hsu, Yen‐Yu Ian Shih, et al.. (2024). Comparative profiling of white matter development in the human and mouse brain reveals volumetric deficits and delayed myelination in Angelman syndrome. Molecular Autism. 15(1). 54–54. 1 indexed citations

Kovacs‐Balint, Zsofia, Mar M. Sánchez, Arick Wang, et al.. (2024). The Development of Socially Directed Attention: A Functional Magnetic Resonance Imaging Study in Infant Monkeys. Journal of Cognitive Neuroscience. 36(12). 2742–2760.

Garic, Dea, Robert C. McKinstry, Leigh MacIntyre, et al.. (2023). 0765 Enlarged perivascular spaces in infancy: associations with autism diagnosis, cerebrospinal fluid volume, and later sleep problems. SLEEP. 46(Supplement_1). A337–A338. 1 indexed citations

Vicory, Jared, Ye Han, Juan Carlos Prieto, et al.. (2023). SlicerSALT: From Medical Images to Quantitative Insights of Anatomy. Lecture notes in computer science. 14350. 201–210.

Park, Sung‐Hwan, Hyun Gi Kim, Minho Lee, et al.. (2023). A regional brain volume–based age prediction model for neonates and the derived brain maturation index. European Radiology. 34(6). 3892–3902.

Demers, Catherine H., Benjamin L. Hankin, Sun Hyung Kim, et al.. (2022). Maternal adverse childhood experiences and infant subcortical brain volume. Neurobiology of Stress. 21. 100487–100487. 16 indexed citations

Schulz, Jörn, et al.. (2022). Analysis of Joint Shape Variation from Multi-Object Complexes. Journal of Mathematical Imaging and Vision. 65(3). 542–562. 2 indexed citations

Gerber, Samuel, Marc Niethammer, Joseph Piven, et al.. (2022). Optimal transport features for morphometric population analysis. Medical Image Analysis. 84. 102696–102696. 1 indexed citations

10.

Kwak, Kichang, et al.. (2021). Differential Role for Hippocampal Subfields in Alzheimer’s Disease Progression Revealed with Deep Learning. Cerebral Cortex. 32(3). 467–478. 28 indexed citations

11.

Demers, Catherine H., Sarah E. Garcia, Martin Styner, et al.. (2021). Exposure to prenatal maternal distress and infant white matter neurodevelopment. Development and Psychopathology. 33(5). 1526–1538. 23 indexed citations

12.

Raper, Jessica, Zsofia Kovacs‐Balint, Maud Mavigner, et al.. (2020). Long-term alterations in brain and behavior after postnatal Zika virus infection in infant macaques. Nature Communications. 11(1). 2534–2534. 44 indexed citations

13.

Knickmeyer, Rebecca, Jeffrey T. Young, Michael R. Kosorok, et al.. (2020). Impact of gonadectomy on maturational changes in brain volume in adolescent macaques. Psychoneuroendocrinology. 124. 105068–105068. 1 indexed citations

14.

Short, Sarah J., Michael T. Willoughby, Marie Camerota, et al.. (2019). Individual differences in neonatal white matter are associated with executive function at 3 years of age. Brain Structure and Function. 224(9). 3159–3169. 12 indexed citations

15.

Styner, Martin, Jared Vicory, Shireen Elhabian, et al.. (2017). Skeletal Shape Correspondence Through Entropy. IEEE Transactions on Medical Imaging. 37(1). 1–11. 19 indexed citations

16.

Judson, Matthew C., A Burette, Courtney Thaxton, et al.. (2017). Decreased Axon Caliber Underlies Loss of Fiber Tract Integrity, Disproportional Reductions in White Matter Volume, and Microcephaly in Angelman Syndrome Model Mice. Journal of Neuroscience. 37(31). 7347–7361. 29 indexed citations

17.

Jha, Shaili C., Samantha Meltzer‐Brody, Emil Cornea, et al.. (2016). Antenatal depression, treatment with selective serotonin reuptake inhibitors, and neonatal brain structure: A propensity-matched cohort study. Psychiatry Research Neuroimaging. 253. 43–53. 51 indexed citations

18.

Du, Guangwei, Mechelle M. Lewis, Suman Sen, et al.. (2012). Imaging nigral pathology and clinical progression in Parkinson's disease. Movement Disorders. 27(13). 1636–1643. 90 indexed citations

19.

Peterhans, Matthias, et al.. (2007). Kalman filtering for ultrasound-based rigid registration in CAOS. Bern Open Repository and Information System (University of Bern). 1 indexed citations

20.

Rajamani, Kumar, et al.. (2005). A comparison study assessing the feasibility of ultrasound-initialized deformable bone models. Computer Aided Surgery. 10(5-6). 293–299. 4 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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