Phan Luu

7.2k total citations · 2 hit papers
74 papers, 5.0k citations indexed

About

Phan Luu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Phan Luu has authored 74 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Cognitive Neuroscience, 14 papers in Cellular and Molecular Neuroscience and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Phan Luu's work include Neural dynamics and brain function (30 papers), EEG and Brain-Computer Interfaces (28 papers) and Neural and Behavioral Psychology Studies (24 papers). Phan Luu is often cited by papers focused on Neural dynamics and brain function (30 papers), EEG and Brain-Computer Interfaces (28 papers) and Neural and Behavioral Psychology Studies (24 papers). Phan Luu collaborates with scholars based in United States, Argentina and Germany. Phan Luu's co-authors include Don M. Tucker, Gerald S. Russell, Thomas C. Ferrée, Catherine Poulsen, Paul Collins, Scott Makeig, Tobias Flaisch, Douglas Derryberry, Marjorie A. Reed and Colin Davey and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Phan Luu

72 papers receiving 4.9k citations

Hit Papers

Scalp electrode impedance, infection risk, and EEG data q... 2001 2026 2009 2017 2001 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phan Luu United States 27 4.2k 983 502 471 460 74 5.0k
Josep Marco‐Pallarés Spain 40 3.7k 0.9× 727 0.7× 451 0.9× 996 2.1× 477 1.0× 102 4.8k
Remco J. Renken Netherlands 45 3.4k 0.8× 1.2k 1.2× 459 0.9× 589 1.3× 770 1.7× 173 6.2k
Dara G. Ghahremani United States 32 3.5k 0.8× 947 1.0× 1.0k 2.1× 451 1.0× 526 1.1× 77 5.2k
Patrick Berg Germany 35 5.9k 1.4× 1.0k 1.1× 412 0.8× 398 0.8× 604 1.3× 58 6.7k
Hiroyuki Oya United States 32 4.3k 1.0× 948 1.0× 465 0.9× 378 0.8× 528 1.1× 90 5.4k
Guido P. H. Band Netherlands 31 3.9k 0.9× 1.2k 1.2× 256 0.5× 588 1.2× 686 1.5× 68 5.1k
Hermann Hinrichs Germany 35 4.6k 1.1× 847 0.9× 817 1.6× 440 0.9× 425 0.9× 132 5.5k
Martin M. Monti United States 36 3.2k 0.8× 519 0.5× 315 0.6× 336 0.7× 888 1.9× 99 5.4k
James F. Cavanagh United States 37 6.2k 1.5× 1.4k 1.4× 735 1.5× 583 1.2× 449 1.0× 94 7.7k
Fabien Perrin France 35 6.2k 1.5× 1.7k 1.7× 566 1.1× 617 1.3× 743 1.6× 74 7.6k

Countries citing papers authored by Phan Luu

Since Specialization
Citations

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

Fields of papers citing papers by Phan Luu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phan Luu. 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 Phan Luu. The network helps show where Phan Luu may publish in the future.

Co-authorship network of co-authors of Phan Luu

This figure shows the co-authorship network connecting the top 25 collaborators of Phan Luu. A scholar is included among the top collaborators of Phan Luu 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 Phan Luu. Phan Luu 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.
Tucker, Don M., Phan Luu, & Karl Friston. (2025). Adaptive consolidation of active inference: excitatory and inhibitory mechanisms for organizing feedforward and feedback memory systems in sleep. Cerebral Cortex. 35(5). 2 indexed citations
2.
Shusterman, Roman, et al.. (2025). An active inference strategy for prompting reliable responses from large language models in medical practice. npj Digital Medicine. 8(1). 119–119. 5 indexed citations
3.
Lim, Miranda M., Noah Milman, Jonathan E. Elliott, et al.. (2023). 0267 Development and validation of low-level Transcranial Electrical Stimulation to enhance slow oscillations during human NREM sleep. SLEEP. 46(Supplement_1). A119–A119.
4.
Shusterman, Roman, et al.. (2021). Focal limbic sources create the large slow oscillations of the EEG in human deep sleep. Sleep Medicine. 85. 291–302. 5 indexed citations
5.
Shusterman, Roman, et al.. (2021). Transcranial Electrical Stimulation targeting limbic cortex increases the duration of human deep sleep. Sleep Medicine. 81. 350–357. 9 indexed citations
6.
Tucker, Don M. & Phan Luu. (2021). Motive control of unconscious inference: The limbic base of adaptive Bayes. Neuroscience & Biobehavioral Reviews. 128. 328–345. 19 indexed citations
7.
Feng, Rui, Chengxin Ma, Jie Hu, et al.. (2020). Source localization of epileptic spikes using Multiple Sparse Priors. Clinical Neurophysiology. 132(2). 586–597. 5 indexed citations
8.
Voelker, Pascale, et al.. (2020). Increasing the amplitude of intrinsic theta in the human brain. SHILAP Revista de lepidopterología. 7(4). 418–437. 3 indexed citations
9.
Dannhauer, Moritz, Burak Erem, Rob MacLeod, et al.. (2016). Optimization of focality and direction in dense electrode array transcranial direct current stimulation (tDCS). Journal of Neural Engineering. 13(3). 36020–36020. 62 indexed citations
10.
Tucker, Don M., et al.. (2016). An improved artifacts removal method for high dimensional EEG. Journal of Neuroscience Methods. 268. 31–42. 12 indexed citations
11.
Song, Jasmine, Colin Davey, Catherine Poulsen, et al.. (2015). EEG source localization: Sensor density and head surface coverage. Journal of Neuroscience Methods. 256. 9–21. 244 indexed citations
12.
Luu, Phan, et al.. (2014). Localizing Movement-Related Primary Sensorimotor Cortices with Multi-Band EEG Frequency Changes and Functional MRI. PLoS ONE. 9(11). e112103–e112103. 21 indexed citations
13.
Luu, Phan, et al.. (2011). Learning and the Development of Contexts for Action. Frontiers in Human Neuroscience. 5. 159–159. 11 indexed citations
14.
Luu, Phan, Cali Fidopiastis, Gwendolyn E. Campbell, et al.. (2010). Reentrant Processing in Intuitive Perception. PLoS ONE. 5(3). e9523–e9523. 13 indexed citations
15.
Luu, Phan. (2005). Odorant Receptor Specificities and Receptor Combinatorials: Implications for Olfactory Coding. Chemical Senses. 30(Supplement 1). i97–i98. 6 indexed citations
16.
Tucker, Don M., et al.. (2003). Frontolimbic Response to Negative Feedback in Clinical Depression.. Journal of Abnormal Psychology. 112(4). 667–678. 136 indexed citations
17.
Tucker, Don M., et al.. (2003). Corticolimbic mechanisms in emotional decisions.. Emotion. 3(2). 127–149. 39 indexed citations
18.
Luu, Phan, Paul Collins, & Don M. Tucker. (2000). Mood, personality, and self-monitoring: Negative affect and emotionality in relation to frontal lobe mechanisms of error monitoring.. Journal of Experimental Psychology General. 129(1). 43–60. 83 indexed citations
19.
Tucker, Don M. & Phan Luu. (1998). Cathexis Revisited: Corticolimbic Resonance and the Adaptive Control of Memorya. Annals of the New York Academy of Sciences. 843(1). 134–152. 4 indexed citations
20.
Tucker, Don M., et al.. (1996). Emotional expectancy: Brain electrical activity associated with an emotional bias in interpreting life events. Psychophysiology. 33(3). 218–233. 53 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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