Michael J. Prerau

3.3k total citations · 2 hit papers
31 papers, 1.7k citations indexed

About

Michael J. Prerau is a scholar working on Cognitive Neuroscience, Anesthesiology and Pain Medicine and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael J. Prerau has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 6 papers in Anesthesiology and Pain Medicine and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael J. Prerau's work include EEG and Brain-Computer Interfaces (18 papers), Neural dynamics and brain function (14 papers) and Sleep and Wakefulness Research (10 papers). Michael J. Prerau is often cited by papers focused on EEG and Brain-Computer Interfaces (18 papers), Neural dynamics and brain function (14 papers) and Sleep and Wakefulness Research (10 papers). Michael J. Prerau collaborates with scholars based in United States, United Kingdom and South Korea. Michael J. Prerau's co-authors include Patrick L. Purdon, Andrew O. Arnold, Eleazar Eskin, Emery N. Brown, Aaron L. Sampson, Jeffrey M. Ellenbogen, Matt T. Bianchi, P. Grace Harrell, J. Walsh and Eric T. Pierce and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Michael J. Prerau

30 papers receiving 1.6k citations

Hit Papers

Electroencephalogram sign... 2002 2026 2010 2018 2013 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Prerau United States 12 896 372 351 342 209 31 1.7k
Levin Kuhlmann Australia 25 2.1k 2.3× 216 0.6× 61 0.2× 50 0.1× 418 2.0× 88 2.5k
ShiNung Ching United States 18 1.2k 1.4× 48 0.1× 627 1.8× 51 0.1× 492 2.4× 95 2.0k
Zhenhu Liang China 20 888 1.0× 52 0.1× 199 0.6× 23 0.1× 113 0.5× 76 1.4k
Michel Toussaint France 27 552 0.6× 170 0.5× 163 0.5× 134 0.4× 80 0.4× 85 2.5k
Herbert Witte Germany 30 2.6k 3.0× 329 0.9× 34 0.1× 155 0.5× 398 1.9× 167 3.6k
Jorge Bosch‐Bayard Cuba 17 1.3k 1.4× 53 0.1× 87 0.2× 21 0.1× 100 0.5× 54 1.6k
D.O. Walter United States 24 890 1.0× 115 0.3× 26 0.1× 87 0.3× 311 1.5× 44 1.6k
Maryam M. Shanechi United States 24 1.6k 1.8× 185 0.5× 54 0.2× 34 0.1× 815 3.9× 70 2.0k
Gaoxiang Ouyang China 29 1.4k 1.6× 204 0.5× 30 0.1× 88 0.3× 299 1.4× 81 2.3k
Andrés F. Salazar-Gómez United States 8 777 0.9× 24 0.1× 314 0.9× 15 0.0× 270 1.3× 16 1.0k

Countries citing papers authored by Michael J. Prerau

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Prerau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Prerau

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Prerau. A scholar is included among the top collaborators of Michael J. Prerau 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 J. Prerau. Michael J. Prerau 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.
Brown, Ritchie E., et al.. (2025). Individualized temporal patterns drive human sleep spindle timing. Proceedings of the National Academy of Sciences. 122(2). e2405276121–e2405276121. 1 indexed citations
2.
Carlezon, William A., et al.. (2025). Spontaneous oxycodone withdrawal disrupts sleep, diurnal, and electrophysiological dynamics in rats. PLoS ONE. 20(1). e0312794–e0312794.
3.
Zhang, Ying, Michael J. Prerau, Daniel Mobley, et al.. (2024). The National Sleep Research Resource: making data findable, accessible, interoperable, reusable and promoting sleep science. SLEEP. 47(7). 1 indexed citations
5.
Kozhemiako, Nataliia, Dimitris Mylonas, Jen Q. Pan, et al.. (2022). Sources of Variation in the Spectral Slope of the Sleep EEG. eNeuro. 9(5). ENEURO.0094–22.2022. 16 indexed citations
6.
Stokes, Patrick A. & Michael J. Prerau. (2020). Estimation of Time-Varying Spectral Peaks and Decomposition of EEG Spectrograms. IEEE Access. 8. 218257–218278. 3 indexed citations
7.
Djonlagic, Ina, Sara Mariani, Annette L. Fitzpatrick, et al.. (2020). Macro and micro sleep architecture and cognitive performance in older adults. Nature Human Behaviour. 5(1). 123–145. 101 indexed citations
8.
Liu, Feng, et al.. (2019). Sparse Multi-task Inverse Covariance Estimation for Connectivity Analysis in EEG Source Space. PubMed. 2018. 299–302. 5 indexed citations
9.
Thomas, Robert J., et al.. (2019). Quantifying statistical uncertainty in metrics of sleep disordered breathing. Sleep Medicine. 65. 161–169. 9 indexed citations
10.
Prerau, Michael J., Ritchie E. Brown, Matt T. Bianchi, Jeffrey M. Ellenbogen, & Patrick L. Purdon. (2016). Sleep Neurophysiological Dynamics Through the Lens of Multitaper Spectral Analysis. Physiology. 32(1). 60–92. 202 indexed citations
11.
Akeju, Oluwaseun, Kara J. Pavone, M. Brandon Westover, et al.. (2014). A Comparison of Propofol- and Dexmedetomidine-induced Electroencephalogram Dynamics Using Spectral and Coherence Analysis. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
12.
Akeju, Oluwaseun, Kara J. Pavone, M. Brandon Westover, et al.. (2014). A Comparison of Propofol- and Dexmedetomidine-induced Electroencephalogram Dynamics Using Spectral and Coherence Analysis. Anesthesiology. 121(5). 978–989. 123 indexed citations
13.
Prerau, Michael J., Paul A. Lipton, Howard Eichenbaum, & Uri T. Eden. (2014). Characterizing context‐dependent differential firing activity in the hippocampus and entorhinal cortex. Hippocampus. 24(4). 476–492. 4 indexed citations
14.
Prerau, Michael J., et al.. (2014). Tracking the Sleep Onset Process: An Empirical Model of Behavioral and Physiological Dynamics. PLoS Computational Biology. 10(10). e1003866–e1003866. 63 indexed citations
15.
Purdon, Patrick L., Eric T. Pierce, Eran A. Mukamel, et al.. (2013). Electroencephalogram signatures of loss and recovery of consciousness from propofol. Proceedings of the National Academy of Sciences. 110(12). E1142–51. 535 indexed citations breakdown →
16.
Prerau, Michael J., Patrick L. Purdon, & Uri T. Eden. (2013). Tracking non-stationary spectral peak structure in EEG data. PubMed. 2013. 417–420. 4 indexed citations
17.
Sampson, Aaron L., Behtash Babadi, Michael J. Prerau, et al.. (2012). Beamforming approach to phase-amplitude modulation analysis of multi-channel EEG. PubMed. 313. 6731–6734. 2 indexed citations
18.
Purdon, Patrick L., Emery N. Brown, Kin Foon Kevin Wong, et al.. (2011). Bayesian analysis of trinomial data in behavioral experiments and its application to human studies of general anesthesia. DSpace@MIT (Massachusetts Institute of Technology). 6 indexed citations
19.
Mukamel, Eran A., et al.. (2011). Phase-based measures of cross-frequency coupling in brain electrical dynamics under general anesthesia. PubMed. 2011. 1981–1984. 35 indexed citations
20.
Prerau, Michael J., Adaline C. Smith, Uri T. Eden, et al.. (2008). A mixed filter algorithm for cognitive state estimation from simultaneously recorded continuous and binary measures of performance. Biological Cybernetics. 99(1). 1–14. 17 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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