Michael I. Miller

38.0k total citations · 5 hit papers
383 papers, 24.0k citations indexed

About

Michael I. Miller is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael I. Miller has authored 383 papers receiving a total of 24.0k indexed citations (citations by other indexed papers that have themselves been cited), including 173 papers in Radiology, Nuclear Medicine and Imaging, 106 papers in Cognitive Neuroscience and 82 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael I. Miller's work include Advanced Neuroimaging Techniques and Applications (124 papers), Functional Brain Connectivity Studies (81 papers) and Medical Image Segmentation Techniques (69 papers). Michael I. Miller is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (124 papers), Functional Brain Connectivity Studies (81 papers) and Medical Image Segmentation Techniques (69 papers). Michael I. Miller collaborates with scholars based in United States, China and France. Michael I. Miller's co-authors include Laurent Younès, Ulf Grenander, Donald L. Snyder, Sarang Joshi, Gary E. Christensen, Susumu Mori, Alain Trouvé, Anqi Qiu, Mirza Faisal Beg and John G. Csernansky and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Michael I. Miller

364 papers receiving 23.2k 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.

Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template

2008 1.4k citations Susumu Mori, Kenichi Oishi et al. profile →
Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms

2004 1.0k citations Michael I. Miller, Laurent Younès et al. profile →
Pattern Separation in the Human Hippocampal CA3 and Dentate Gyrus

2008 759 citations Michael I. Miller et al. profile →
Deformable templates using large deformation kinematics

1996 745 citations Michael I. Miller et al. profile →
Random Point Processes in Time and Space

1991 644 citations Michael I. Miller et al. profile →

Peers

Countries citing papers authored by Michael I. Miller

Since Specialization

Citations

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

Fields of papers citing papers by Michael I. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael I. Miller. 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 Michael I. Miller. The network helps show where Michael I. Miller may publish in the future.

Co-authorship network of co-authors of Michael I. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Michael I. Miller. A scholar is included among the top collaborators of Michael I. Miller 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 Michael I. Miller. Michael I. Miller 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

#	Work	Indexed citations
1	Alzheimer’s disease cerebrospinal fluid biomarker levels and APOE genetic status are associated with hippocampal-cerebellar functional connectivity 2025 ·Neurobiology of Aging ·(unknown), Corinne Pettigrew, Abhay Moghekar, Michael I. Miller, Andréia V. Faria, Marilyn Albert, Anja Soldan	1
2	CSF Levels of NPTX2 Are Associated With Less Brain Atrophy Over Time in Cognitively Unimpaired Individuals 2025 ·Annals of Clinical and Translational Neurology ·(unknown), Corinne Pettigrew, Yuxin Zhu, (unknown), Guray Erus, Christos Davatzikos, Michael I. Miller, Abhay Moghekar, Sungtaek Oh, Chan Hyun Na, Marilyn Albert, Paul F. Worley, Anja Soldan	0
3	Cerebellar White Matter Microstructure Is Associated With Age, Cerebrospinal Fluid Amyloid Beta Levels, and Cognition in Cognitively Unimpaired Older Adults 2025 ·Human Brain Mapping ·(unknown), Corinne Pettigrew, Daniel D. Callow, Abhay Moghekar, Michael I. Miller, Andréia V. Faria, Kenichi Oishi, Marilyn Albert, Anja Soldan	0
4	Mixed longitudinal and cross-sectional analyses of deep gray matter and white matter using diffusion weighted images in premanifest and manifest Huntington’s disease 2023 ·NeuroImage Clinical ·(unknown), Laurent Younès, Xuan Bu, (unknown), J. Tilak Ratnanather, Jane S. Paulsen, Nellie Georgiou‐Karistianis, Michael I. Miller, Christopher A. Ross, Andréia V. Faria	1
5	Longitudinal imaging highlights preferential basal ganglia circuit atrophy in Huntington’s disease 2023 ·Brain Communications ·(unknown), Laurent Younès, (unknown), Jared T. Hinkle, Maggie Haitian Wang, (unknown), Xin Xu, Xuan Bu, (unknown), Jee Bang, Sarah J. Tabrizi, Rachael I. Scahill, (unknown), Nellie Georgiou‐Karistianis, Andréia V. Faria, Michael I. Miller, J. Tilak Ratnanather, Christopher A. Ross	9
6	Digital 3D Brain MRI Arterial Territories Atlas 2023 ·Scientific Data ·(unknown), Johnny Hsu, Xin Xu, (unknown), Shannon M. Sheppard, Erin L. Meier, Michael I. Miller, Argye E. Hillis, Andréia V. Faria	37
7	Visualizing synaptic plasticity in vivo by large-scale imaging of endogenous AMPA receptors 2021 ·eLife ·Austin R. Graves, Richard H. Roth, Han L. Tan, Qianwen Zhu, Alexei M. Bygrave, (unknown), Ingie Hong, (unknown), Richard C. Johnson, Joshua T Vogelstein, Daniel J. Tward, Michael I. Miller, Richard L. Huganir	40
8	Relation of koniocellular layers of dorsal lateral geniculate to inferior pulvinar nuclei in common marmosets 2019 ·European Journal of Neuroscience ·Bing‐Xing Huo, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Junichi Hata, (unknown), Ulrike Grünert, Michael I. Miller, Marcello G. P. Rosa, Hideyuki Okano, Paul R. Martin, Partha P. Mitra	10
9	Cognitive reserve and rate of change in Alzheimer's and cerebrovascular disease biomarkers among cognitively normal individuals 2019 ·Neurobiology of Aging ·Corinne Pettigrew, Anja Soldan, Yuxin Zhu, Qing Cai, Mei‐Cheng Wang, Abhay Moghekar, Michael I. Miller, Baljeet Singh, Oliver Martinez, Evan Fletcher, Charles DeCarli, Marilyn Albert	25
10	Test–retest reproducibility of a multi‐atlas automated segmentation tool on multimodality brain MRI 2019 ·Brain and Behavior ·Thiago Junqueira Ribeiro de Rezende, Brunno Machado de Campos, Johnny Hsu, Yue Li, Can Ceritoglu, Kwame S. Kutten, Marcondes C. França, Susumu Mori, Michael I. Miller, Andréia V. Faria	25
11	Joint Atlas-Mapping of Multiple Histological Series combined with Multimodal MRI of Whole Marmoset Brains 2018 ·arXiv (Cornell University) ·(unknown), (unknown), Yan Fu, Junichi Hata, Michael I. Miller, Partha P. Mitra	3
12	Linking white matter and deep gray matter alterations in premanifest Huntington disease 2016 ·NeuroImage Clinical ·Andréia V. Faria, J. Tilak Ratnanather, Daniel J. Tward, (unknown), (unknown), Dan Wu, Timothy Brown, Hans J. Johnson, Jane S. Paulsen, Christopher A. Ross, Laurent Younès, Michael I. Miller	49
13	Content-based image retrieval for brain MRI: An image-searching engine and population-based analysis to utilize past clinical data for future diagnosis 2015 ·NeuroImage Clinical ·Andréia V. Faria, Kenichi Oishi, Shoko Yoshida, Argye E. Hillis, Michael I. Miller, Susumu Mori	32
14	Bayesian Parameter Estimation and Segmentation in the Multi-Atlas Random Orbit Model 2013 ·PLoS ONE ·Xiaoying Tang, Kenichi Oishi, Andréia V. Faria, Argye E. Hillis, Marilyn Albert, Susumu Mori, Michael I. Miller	133
15	Cortico-Cortical, Cortico-Striatal, and Cortico-Thalamic White Matter Fiber Tracts Generated in the Macaque Brain via Dynamic Programming 2013 ·Brain Connectivity ·J. Tilak Ratnanather, (unknown), (unknown), (unknown), Muwei Li, Hangyi Jiang, Kenichi Oishi, Lynn D. Selemon, Susumu Mori, Michael I. Miller	10
16	Diffusion Tensor Magnetic Resonance Imaging of Wallerian Degeneration in Rat Spinal Cord after Dorsal Root Axotomy 2009 ·Journal of Neuroscience ·Jiangyang Zhang, Melina Jones, Cynthia A. DeBoy, Daniel S. Reich, Jonathan A.D. Farrell, Paul N. Hoffman, John W. Griffin, Kazim A. Sheikh, Michael I. Miller, Susumu Mori, Peter A. Calabresi	155
17	Statistical Analysis of Twin Populations using Dissimilarity Measurements in Hippocampus Shape Space 2008 ·BioMed Research International ·Youngser Park, Carey E. Priebe, Michael I. Miller, (unknown), Kelly N. Botteron	4
18	Initial value diffeomorphic landmark matching and its application shape statistics 2003 ·(unknown), Michael I. Miller, Laurent Younès, Can Ceritoglu	1
19	Rate-Distortion Theoretic Codebook Design for automatic Object Recognition 1998 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Michael I. Miller, Bixio Rimoldi	1
20	Bayesian Inference of Regular Grammar and Markov Source Models 1989 ·neural information processing systems ·Kurt R. Smith, Michael I. Miller	3

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