Eli J. Müller

1.4k total citations
37 papers, 647 citations indexed

About

Eli J. Müller is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Eli J. Müller has authored 37 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Eli J. Müller's work include Neural dynamics and brain function (26 papers), Functional Brain Connectivity Studies (24 papers) and EEG and Brain-Computer Interfaces (7 papers). Eli J. Müller is often cited by papers focused on Neural dynamics and brain function (26 papers), Functional Brain Connectivity Studies (24 papers) and EEG and Brain-Computer Interfaces (7 papers). Eli J. Müller collaborates with scholars based in Australia, United States and Germany. Eli J. Müller's co-authors include James M. Shine, Brandon Munn, Michael Breakspear, Gabriel Wainstein, P. A. Robinson, Joana Cabral, Rosalyn Moran, Luca Cocchi, Luke J. Hearne and Kai Hwang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Eli J. Müller

32 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eli J. Müller Australia	14	505	161	98	69	50	37	647
Brandon Munn Australia	12	425 0.8×	135 0.8×	70 0.7×	27 0.4×	37 0.7×	24	507
José C. Masdeu Spain	6	476 0.9×	173 1.1×	65 0.7×	35 0.5×	39 0.8×	8	662
Timothée Proix France	12	858 1.7×	213 1.3×	256 2.6×	76 1.1×	54 1.1×	23	990
Tomer Fekete United States	16	484 1.0×	123 0.8×	153 1.6×	67 1.0×	43 0.9×	29	721
Limin Sun United States	12	423 0.8×	139 0.9×	61 0.6×	45 0.7×	111 2.2×	35	702
Josephine Cruzat United Kingdom	14	621 1.2×	161 1.0×	160 1.6×	35 0.5×	43 0.9×	22	835
Fahmida A Chowdhury United Kingdom	16	564 1.1×	240 1.5×	101 1.0×	85 1.2×	43 0.9×	44	887
Andrew Morgan United States	11	305 0.6×	131 0.8×	113 1.2×	45 0.7×	35 0.7×	20	507
Sophia Erimaki Greece	7	636 1.3×	109 0.7×	130 1.3×	70 1.0×	41 0.8×	10	766
Zhen-Qi Liu Canada	11	283 0.6×	68 0.4×	128 1.3×	46 0.7×	76 1.5×	31	490

Countries citing papers authored by Eli J. Müller

Since Specialization

Citations

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

Fields of papers citing papers by Eli J. Müller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eli J. Müller. 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 Eli J. Müller. The network helps show where Eli J. Müller may publish in the future.

Co-authorship network of co-authors of Eli J. Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Eli J. Müller. A scholar is included among the top collaborators of Eli J. Müller 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 Eli J. Müller. Eli J. Müller 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

Müller, Eli J., Brandon Munn, & James M. Shine. (2025). The brain that controls itself. Current Opinion in Behavioral Sciences. 63. 101499–101499. 1 indexed citations

Wainstein, Gabriel, Christopher J. Whyte, Kaylena A. Ehgoetz Martens, et al.. (2025). Evidence from pupillometry, fMRI, and RNN modelling shows that gain neuromodulation mediates task-relevant perceptual switches. eLife. 13. 1 indexed citations

Robinson, P. A., et al.. (2025). Personalized stimulation therapies for disorders of consciousness: a computational approach to inducing healthy-like brain activity based on neural field theory. Journal of Neural Engineering. 22(3). 36033–36033.

Whyte, Christopher J., Annie G. Bryant, Brandon Munn, et al.. (2025). Cerebellar and subcortical contributions to working memory manipulation. Communications Biology. 8(1). 1028–1028.

Müller, Eli J., et al.. (2024). Analyzing the brain’s dynamic response to targeted stimulation using generative modeling. Network Neuroscience. 9(1). 237–258.

Munn, Brandon, Eli J. Müller, Itia A. Favre‐Bulle, et al.. (2024). Multiscale organization of neuronal activity unifies scale-dependent theories of brain function. Cell. 187(25). 7303–7313.e15. 9 indexed citations

Whyte, Christopher J., Brandon Munn, Catie Chang, et al.. (2024). Causal evidence for cholinergic stabilization of attractor landscape dynamics. Cell Reports. 43(6). 114359–114359. 5 indexed citations

Robinson, P. A., et al.. (2024). Recruiting neural field theory for data augmentation in a motor imagery brain–computer interface. Frontiers in Robotics and AI. 11. 1362735–1362735. 2 indexed citations

Müller, Eli J., Daniel S. Margulies, Jennifer Y. Y. Szeto, et al.. (2023). Abnormal higher-order network interactions in Parkinson’s disease visual hallucinations. Brain. 147(2). 458–471. 13 indexed citations

10.

Munn, Brandon, Eli J. Müller, Vicente Medel, et al.. (2023). Neuronal connected burst cascades bridge macroscale adaptive signatures across arousal states. Nature Communications. 14(1). 6846–6846. 13 indexed citations

11.

Toker, Daniel, Eli J. Müller, Hiroyuki Miyamoto, et al.. (2023). Criticality supports cross-frequency cortical-thalamic information transfer during conscious states. eLife. 13. 10 indexed citations

12.

Medel, Vicente, Nicolás Crossley, Eli J. Müller, et al.. (2022). Whole-brain neuronal MCT2 lactate transporter expression links metabolism to human brain structure and function. Proceedings of the National Academy of Sciences. 119(33). e2204619119–e2204619119. 30 indexed citations

13.

Müller, Eli J., et al.. (2022). Extracting Dynamical Understanding From Neural-Mass Models of Mouse Cortex. Frontiers in Computational Neuroscience. 16. 847336–847336. 4 indexed citations

14.

Iyer, Kartik K., Kai Hwang, Luke J. Hearne, et al.. (2022). Focal neural perturbations reshape low-dimensional trajectories of brain activity supporting cognitive performance. Nature Communications. 13(1). 4–4. 11 indexed citations

15.

Wainstein, Gabriel, et al.. (2022). The role of the locus coeruleus in shaping adaptive cortical melodies. Trends in Cognitive Sciences. 26(6). 527–538. 24 indexed citations

16.

Munn, Brandon, Eli J. Müller, Gabriel Wainstein, & James M. Shine. (2021). The ascending arousal system shapes neural dynamics to mediate awareness of cognitive states. Nature Communications. 12(1). 6016–6016. 84 indexed citations

17.

Shine, James M., Eli J. Müller, Brandon Munn, et al.. (2021). Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics. Nature Neuroscience. 24(6). 765–776. 119 indexed citations

18.

Müller, Eli J., Brandon Munn, Luke J. Hearne, et al.. (2020). Core and matrix thalamic sub-populations relate to spatio-temporal cortical connectivity gradients. NeuroImage. 222. 117224–117224. 56 indexed citations

19.

Shine, James M., Luke J. Hearne, Michael Breakspear, et al.. (2019). The Low-Dimensional Neural Architecture of Cognitive Complexity Is Related to Activity in Medial Thalamic Nuclei. Neuron. 104(5). 849–855.e3. 62 indexed citations

20.

Müller, Eli J. & P. A. Robinson. (2018). Quantitative theory of deep brain stimulation of the subthalamic nucleus for the suppression of pathological rhythms in Parkinson’s disease. PLoS Computational Biology. 14(5). e1006217–e1006217. 16 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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