Daniel Moyer

908 total citations
35 papers, 196 citations indexed

About

Daniel Moyer is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Moyer has authored 35 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Cognitive Neuroscience and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Moyer's work include Advanced Neuroimaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (12 papers) and Functional Brain Connectivity Studies (7 papers). Daniel Moyer is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (12 papers) and Functional Brain Connectivity Studies (7 papers). Daniel Moyer collaborates with scholars based in United States, United Kingdom and Netherlands. Daniel Moyer's co-authors include Polina Golland, Elfar Adalsteinsson, Junshen Xu, Juan Eugenio Iglesias, Paul M. Thompson, P. Ellen Grant, Borjan Gagoski, Greg Ver Steeg, Boris A. Gutman and Aram Galstyan and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Human Brain Mapping and Frontiers in Human Neuroscience.

In The Last Decade

Daniel Moyer

22 papers receiving 194 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Moyer United States	10	67	54	49	35	32	35	196
Tabinda Sarwar Australia	8	161 2.4×	46 0.9×	160 3.3×	27 0.8×	23 0.7×	17	326
Jelena Božek Croatia	9	100 1.5×	84 1.6×	85 1.7×	72 2.1×	22 0.7×	24	246
Soorena Salari Iran	5	52 0.8×	51 0.9×	178 3.6×	26 0.7×	15 0.5×	7	286
Biao Cai United States	12	149 2.2×	47 0.9×	255 5.2×	15 0.4×	17 0.5×	23	408
Alaa Bessadok Türkiye	4	40 0.6×	55 1.0×	84 1.7×	14 0.4×	7 0.2×	5	186
Pascal Sturmfels United States	6	16 0.2×	90 1.7×	12 0.2×	26 0.7×	24 0.8×	7	168
Catalina Gómez United States	8	65 1.0×	106 2.0×	87 1.8×	21 0.6×	5 0.2×	19	333
Ning Situ United States	10	38 0.6×	131 2.4×	103 2.1×	48 1.4×	10 0.3×	19	401
Nicolás Nieto Argentina	3	130 1.9×	139 2.6×	83 1.7×	27 0.8×	9 0.3×	8	405

Countries citing papers authored by Daniel Moyer

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Moyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Moyer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Moyer. A scholar is included among the top collaborators of Daniel Moyer 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 Daniel Moyer. Daniel Moyer 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

Chamberland, Maxime, et al.. (2025). Microstructural Characterization of Short Association Fibers Related to Long‐Range White Matter Tracts in Normative Development. Human Brain Mapping. 46(8). e70255–e70255.

Moyer, Daniel, et al.. (2025). Fabrication and Characterization of Additively Manufactured Stretchable Strain Sensors Towards the Shape Sensing of Continuum Robots. IEEE Robotics and Automation Letters. 10(7). 7627–7634.

Baker, Courtney E., et al.. (2025). Development of a Deep Learning Model for Automating Implant Position in Total Hip Arthroplasty. The Journal of Arthroplasty. 40(8). 2092–2100.

Moyer, Daniel, et al.. (2025). Development of a Machine Learning Model for Determining Alignment in Knees Following Total Knee Arthroplasty. The Journal of Arthroplasty. 41(1). 96–102.

Yoon, Jai Hoon, et al.. (2025). Tractography enhancement in clinically-feasible diffusion MRI using T1-weighted MRI and anatomical context. PubMed. 13406. 8–8.

Yao, Tianyuan, Derek B. Archer, Shunxing Bao, et al.. (2025). Deep learning-based free-water correction for single-shell diffusion MRI. Magnetic Resonance Imaging. 117. 110326–110326. 1 indexed citations

Saunders, Adam M., Daniele Ravì, Lori L. Beason‐Held, et al.. (2025). A technical assessment of latent diffusion for Alzheimer's disease progression. PubMed. 13406. 74–74.

Yao, Tianyuan, Timothy J. Hohman, Kimberly R. Pechman, et al.. (2024). MidRISH: Unbiased harmonization of rotationally invariant harmonics of the diffusion signal. Magnetic Resonance Imaging. 111. 113–119. 1 indexed citations

Cai, Leon Y., Qi Yang, Karthik Ramadass, et al.. (2024). Empirical assessment of the assumptions of ComBat with diffusion tensor imaging. Journal of Medical Imaging. 11(2). 24011–24011. 1 indexed citations

10.

Billot, Benjamin, Daniel Moyer, Malte Hoffmann, et al.. (2024). SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI. IEEE Transactions on Medical Imaging. 43(11). 4029–4040. 2 indexed citations

11.

Faschingbauer, Martin, et al.. (2024). Novel dilation-erosion labeling technique allows for rapid, accurate and adjustable alignment measurements in primary TKA. Computers in Biology and Medicine. 185. 109571–109571.

12.

Schilling, Kurt G., Maxime Chamberland, Victor Nozais, et al.. (2023). White matter tract microstructure, macrostructure, and associated cortical gray matter morphology across the lifespan. Imaging Neuroscience. 1. 13 indexed citations

13.

Xu, Junshen, et al.. (2022). SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. Lecture notes in computer science. 13436. 3–13. 16 indexed citations

14.

Moyer, Daniel, Miriam Cha, Seth J. Berkowitz, et al.. (2021). Multimodal Representation Learning via Maximization of Local Mutual Information. arXiv (Cornell University). 14 indexed citations

15.

Kurmukov, Anvar, et al.. (2020). Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering. Brain Connectivity. 10(4). 183–194. 3 indexed citations

16.

Moyer, Daniel, et al.. (2018). Invariant Representations without Adversarial Training. Neural Information Processing Systems. 31. 9084–9093. 22 indexed citations

17.

Moyer, Daniel, et al.. (2018). Evading the Adversary in Invariant Representation. arXiv (Cornell University).

18.

Moyer, Daniel, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, & Paul M. Thompson. (2017). Continuous representations of brain connectivity using spatial point processes. Medical Image Analysis. 41. 32–39. 12 indexed citations

19.

Moyer, Daniel, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, & Paul M. Thompson. (2016). A Continuous Model of Cortical Connectivity. Lecture notes in computer science. 9900. 157–165. 4 indexed citations

20.

Douglas, Pamela K., Edward Lau, Ariana Anderson, et al.. (2013). Single trial decoding of belief decision making from EEG and fMRI data using independent components features. Frontiers in Human Neuroscience. 7. 392–392. 20 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