Robyn L. Miller

5.9k total citations · 1 hit paper
108 papers, 3.2k citations indexed

About

Robyn L. Miller is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Robyn L. Miller has authored 108 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Cognitive Neuroscience, 36 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Experimental and Cognitive Psychology. Recurrent topics in Robyn L. Miller's work include Functional Brain Connectivity Studies (86 papers), Neural dynamics and brain function (52 papers) and EEG and Brain-Computer Interfaces (32 papers). Robyn L. Miller is often cited by papers focused on Functional Brain Connectivity Studies (86 papers), Neural dynamics and brain function (52 papers) and EEG and Brain-Computer Interfaces (32 papers). Robyn L. Miller collaborates with scholars based in United States, China and Australia. Robyn L. Miller's 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 and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Robyn L. Miller

105 papers receiving 3.2k citations

Hit Papers

The Chronnectome: Time-Varying Connectivity Networks as t... 2014 2026 2018 2022 2014 250 500 750
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.

  1. 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 — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robyn L. Miller United States 24 2.8k 1.2k 609 262 187 108 3.2k
Gregory C. Burgess United States 20 2.7k 1.0× 932 0.8× 761 1.2× 526 2.0× 109 0.6× 25 3.4k
Baojuan Li China 21 2.0k 0.7× 991 0.8× 621 1.0× 296 1.1× 129 0.7× 57 2.8k
Ling‐Li Zeng China 30 2.6k 0.9× 1.2k 1.0× 765 1.3× 364 1.4× 163 0.9× 123 3.4k
Zening Fu United States 30 2.6k 0.9× 1.0k 0.9× 628 1.0× 553 2.1× 154 0.8× 146 3.2k
Evelyn Eger France 30 4.2k 1.5× 483 0.4× 795 1.3× 185 0.7× 124 0.7× 52 4.9k
John D. Medaglia United States 28 2.5k 0.9× 685 0.6× 1.1k 1.8× 291 1.1× 108 0.6× 69 3.8k
Yaroslav O. Halchenko United States 21 3.1k 1.1× 706 0.6× 566 0.9× 183 0.7× 67 0.4× 55 3.9k
Guillaume Flandin United Kingdom 28 2.8k 1.0× 872 0.7× 366 0.6× 195 0.7× 153 0.8× 53 3.6k
Yuhui Du China 35 3.2k 1.1× 1.4k 1.2× 779 1.3× 633 2.4× 121 0.6× 112 3.9k
Xu Lei China 31 2.5k 0.9× 413 0.4× 980 1.6× 274 1.0× 232 1.2× 172 3.2k

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

20 of 20 papers shown
1.
Ana‐Sosa‐Batiz, Fernanda, Shailendra Kumar Verma, Norazizah Shafee, et al.. (2025). A humanised ACE2, TMPRSS2, and FCGRT mouse model reveals the protective efficacy of anti-receptor binding domain antibodies elicited by SARS-CoV-2 hybrid immunity. EBioMedicine. 113. 105619–105619. 1 indexed citations
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Ellis, Charles A., Robyn L. Miller, & Vince D. Calhoun. (2024). Cross-Sampling Rate Transfer Learning for Enhanced Raw EEG Deep Learning Classifier Performance in Major Depressive Disorder Diagnosis. 1–5. 1 indexed citations
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Sendi, Mohammad S.E., Charles A. Ellis, Zening Fu, et al.. (2023). The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer's disease. NeuroImage Clinical. 37. 103363–103363. 9 indexed citations
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Miller, Robyn L., et al.. (2023). Network Differential in Gaussian Graphical Models from Multimodal Neuroimaging Data*. PubMed. 2023. 1–6. 1 indexed citations
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Ellis, Charles A., Robyn L. Miller, & Vince D. Calhoun. (2023). A Novel Explainable Fuzzy Clustering Approach for fMRI Dynamic Functional Network Connectivity Analysis*. PubMed. 2023. 1–4. 2 indexed citations
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Ellis, Charles A., Robyn L. Miller, & Vince D. Calhoun. (2023). Neuropsychiatric Disorder Subtyping Via Clustered Deep Learning Classifier Explanations *. PubMed. 2023. 1–4. 1 indexed citations
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Belger, Ayşenil, Juan Bustillo, Ashkan Faghiri, et al.. (2023). A method for estimating and characterizing explicitly nonlinear dynamic functional network connectivity in resting-state fMRI data. Journal of Neuroscience Methods. 389. 109794–109794. 11 indexed citations
13.
Ellis, Charles A., et al.. (2022). Examining Reproducibility of EEG Schizophrenia Biomarkers Across Explainable Machine Learning Models. 305–308. 10 indexed citations
14.
Sendi, Mohammad S.E., Jing Sui, Zening Fu, et al.. (2021). Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. Brain Connectivity. 11(10). 838–849. 26 indexed citations
15.
Sendi, Mohammad S.E., Zening Fu, Jingyu Liu, et al.. (2021). Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease. Brain Connectivity. 13(6). 334–343. 26 indexed citations
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Sendi, Mohammad S.E., et al.. (2020). A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia. 112–115. 13 indexed citations
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Sendi, Mohammad S.E., Jing Sui, Zening Fu, et al.. (2020). Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. PubMed. 2020. 1493–1496. 17 indexed citations
18.
Espinoza, Flor A., Jessica A. Turner, Victor M. Vergara, et al.. (2018). Whole-Brain Connectivity in a Large Study of Huntington's Disease Gene Mutation Carriers and Healthy Controls. Brain Connectivity. 8(3). 166–178. 34 indexed citations
19.
Kraayenoord, C. E. van, Robyn L. Miller, Karen Moni, & Anne Jobling. (2009). Teaching Writing to Students with Learning Difficulties in Inclusive English Classrooms: Lessons from an Exemplary Teacher.. Queensland's institutional digital repository (The University of Queensland). 8(1). 23–51. 6 indexed citations
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Moni, Karen, Anne Jobling, C. E. van Kraayenoord, et al.. (2007). Teachers’ knowledge, attitudes and the implementation of practices around the teaching of writing in inclusive middle years’ classrooms: No quick fix. Educational and Child Psychology. 24(3). 18–36. 8 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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