Robyn L. Miller

5.9k citations

108 papers · 3.2k indexed · 1 hit paper · h-index 24

Cognitive Neuroscience top 0.5%
Radiology, Nuclear Medicine and Imaging top 1%
Experimental and Cognitive Psychology top 2%
Psychiatry and Mental health top 5%
Cardiology and Cardiovascular Medicine top 10%

Co-authors: Vince D. Calhoun Godfrey D. Pearlson Tülay Adalı Maziar Yaesoubi Eswar Damaraju Mustafa Çetın Barnaly Rashid Charles A. Ellis
Topics: Functional Brain Connectivity Studies (86 papers)Neural dynamics and brain function (52 papers)EEG and Brain-Computer Interfaces (32 papers)
Cited by: Cognitive Neuroscience Radiology, Nuclear Medicine and Imaging Experimental and Cognitive Psychology
Journals: NeuronSHILAP Revista de lepidopterologíaPLoS ONE
Partner nations: United States China Australia

In The Last Decade

Robyn L. Miller

105 papers receiving 3.2k citations

Hit 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.

The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery

2014 985 citations Vince D. Calhoun, Robyn L. Miller et al. profile →

Peers

Countries citing papers authored by Robyn L. Miller

Since Specialization

Citations

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

Fields of papers citing papers by Robyn L. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robyn L. Miller

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The dynamics of dynamic time warping in fMRI data: A method to capture inter-network stretching and shrinking via warp elasticity 2024 ·Imaging Neuroscience ·(unknown),Ashkan Faghiri,Zening Fu,Robyn L. Miller,Adrian Preda,Vince D. Calhoun	2
2	Capturing Stretching and Shrinking of Inter-Network Temporal Coupling in FMRI Via WARP Elasticity 2024 ·(unknown),Ashkan Faghiri,Zening Fu,Robyn L. Miller,Vince D. Calhoun	0
3	Distribution of Connectivity Strengths Across Functional Regions has Higher Entropy in Schizophrenia Patients than in Controls 2024 ·(unknown),Robyn L. Miller,Vince D. Calhoun	0
4	Cross-Sampling Rate Transfer Learning for Enhanced Raw EEG Deep Learning Classifier Performance in Major Depressive Disorder Diagnosis 2024 ·Charles A. Ellis,Robyn L. Miller,Vince D. Calhoun	1
5	Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment 2023 ·Computers in Biology and Medicine ·(unknown),(unknown),Vince D. Calhoun,Robyn L. Miller	8
6	A method for estimating and characterizing explicitly nonlinear dynamic functional network connectivity in resting-state fMRI data 2023 ·Journal of Neuroscience Methods ·(unknown),(unknown),(unknown),Ayşenil Belger,Juan Bustillo,Ashkan Faghiri,James M. Ford,Armin Iraji,Kelvin O. Lim,Daniel H. Mathalon,Robyn L. Miller,Bryon A. Mueller,Daniel S. OʼLeary,Steven G. Potkin,Adrian Preda,T.G. van Erp,Vince D. Calhoun	11
7	The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer's disease 2023 ·NeuroImage Clinical ·Mohammad S.E. Sendi,(unknown),Charles A. Ellis,Zening Fu,Jiayu Chen,Robyn L. Miller,Elizabeth C. Mormino,David H. Salat,Vince D. Calhoun	9
8	An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-Based Schizophrenia Diagnosis 2023 ·(unknown),Charles A. Ellis,Robyn L. Miller,Vince D. Calhoun	2
9	Neuropsychiatric Disorder Subtyping Via Clustered Deep Learning Classifier Explanations ^* 2023 ·PubMed ·Charles A. Ellis,Robyn L. Miller,Vince D. Calhoun	1
10	Novel methods for elucidating modality importance in multimodal electrophysiology classifiers 2023 ·Frontiers in Neuroinformatics ·Charles A. Ellis,Mohammad S.E. Sendi,(unknown),(unknown),May D. Wang,Robyn L. Miller,Vince D. Calhoun	9
11	Fine temporal brain network structure modularizes and localizes differently in men and women: insights from a novel explainability framework 2023 ·Cerebral Cortex ·(unknown),Robyn L. Miller,Harshvardhan Gazula,Vince D. Calhoun	3
12	Examining Reproducibility of EEG Schizophrenia Biomarkers Across Explainable Machine Learning Models 2022 ·Charles A. Ellis,(unknown),Robyn L. Miller,Vince D. Calhoun	10
13	Functional network connectivity during Jazz improvisation 2021 ·Scientific Reports ·Victor M. Vergara,Martin Norgaard,Robyn L. Miller,Roger E. Beaty,(unknown),Mukesh Dhamala,Vince D. Calhoun	15
14	A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia 2020 ·Mohammad S.E. Sendi,(unknown),Zening Fu,Babak Mahmoudi,Robyn L. Miller,Vince D. Calhoun	13
15	Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder 2020 ·PubMed ·(unknown),Mohammad S.E. Sendi,Jing Sui,Zening Fu,Dongmei Zhi,Luxian Lv,Xiaohong Ma,Qing Ke,Xianbin Li,Chuanyue Wang,Chris Abbott,Jessica A. Turner,Robyn L. Miller,Vince D. Calhoun	17
16	Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity 2016 ·NeuroImage ·Barnaly Rashid,Mohammad R. Arbabshirani,Eswar Damaraju,Mustafa Çetın,Robyn L. Miller,Godfrey D. Pearlson,Vince D. Calhoun	249
17	Higher Dimensional Meta-State Analysis Reveals Reduced Resting fMRI Connectivity Dynamism in Schizophrenia Patients 2016 ·PLoS ONE ·Robyn L. Miller,Maziar Yaesoubi,Jessica A. Turner,Daniel H. Mathalon,Adrian Preda,Godfrey D. Pearlson,Tülay Adalı,Vince D. Calhoun	151
18	Spatial Variance in Resting fMRI Networks of Schizophrenia Patients: An Independent Vector Analysis 2015 ·Schizophrenia Bulletin ·(unknown),Robyn L. Miller,Andrew Michael,Tülay Adalı,Mustafa Çetın,Srinivas Rachakonda,Juan Bustillo,Nathan D. Cahill,Stefi A. Baum,Vince D. Calhoun	34
19	Teaching Writing to Students with Learning Difficulties in Inclusive English Classrooms: Lessons from an Exemplary Teacher. 2009 ·Queensland's institutional digital repository (The University of Queensland) ·C. E. van Kraayenoord,Robyn L. Miller,Karen Moni,Anne Jobling	6
20	Teachers’ knowledge, attitudes and the implementation of practices around the teaching of writing in inclusive middle years’ classrooms: No quick fix 2007 ·Educational and Child Psychology ·Karen Moni,Anne Jobling,C. E. van Kraayenoord,John Elkins,Robyn L. Miller,David A. Koppenhaver	8

About Robyn L. Miller

Robyn L. Miller is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging, having authored 108 papers that have together received 3.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (86 papers), Neural dynamics and brain function (52 papers) and EEG and Brain-Computer Interfaces (32 papers). The work is most often cited by research in Cognitive Neuroscience (2.8k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Experimental and Cognitive Psychology (609 citations). Robyn L. Miller has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Vince D. Calhoun, Godfrey D. Pearlson, Tülay Adalı, Maziar Yaesoubi, Eswar Damaraju, Mustafa Çetın, Barnaly Rashid, Charles A. Ellis, Andrew R. Mayer and Mohammad R. Arbabshirani. Their work appears in journals such as Neuron, SHILAP Revista de lepidopterología and PLoS ONE.

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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