Sergey Plis

8.9k total citations · 4 hit papers
118 papers, 5.6k citations indexed

About

Sergey Plis is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Sergey Plis has authored 118 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Cognitive Neuroscience, 37 papers in Radiology, Nuclear Medicine and Imaging and 36 papers in Artificial Intelligence. Recurrent topics in Sergey Plis's work include Functional Brain Connectivity Studies (79 papers), Neural dynamics and brain function (35 papers) and Advanced Neuroimaging Techniques and Applications (27 papers). Sergey Plis is often cited by papers focused on Functional Brain Connectivity Studies (79 papers), Neural dynamics and brain function (35 papers) and Advanced Neuroimaging Techniques and Applications (27 papers). Sergey Plis collaborates with scholars based in United States, China and Norway. Sergey Plis's co-authors include Vince D. Calhoun, Elena A. Allen, Tom Eichele, Eswar Damaraju, Erik B. Erhardt, Jing Sui, Mohammad R. Arbabshirani, Alvaro Ulloa, Jessica A. Turner and Alexander Aliper and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sergey Plis

114 papers receiving 5.5k 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.

Tracking Whole-Brain Connectivity Dynamics in the Resting State

2012 2.2k citations Elena A. Allen, Eswar Damaraju et al. Cerebral Cortex profile →
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

2016 588 citations Mohammad R. Arbabshirani, Sergey Plis et al. NeuroImage profile →
Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data

2016 363 citations Sergey Plis et al. profile →
Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence

2023 84 citations Sergey Plis, Vince D. Calhoun et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergey Plis United States	26	4.1k	1.8k	692	650	524	118	5.6k
Bertrand Thirion France	40	5.9k 1.4×	2.4k 1.3×	837 1.2×	660 1.0×	657 1.3×	178	8.4k
Gholamreza Salimi‐Khorshidi United Kingdom	24	4.7k 1.1×	2.2k 1.2×	900 1.3×	645 1.0×	486 0.9×	43	7.0k
Daniele Marinazzo Belgium	41	3.9k 0.9×	892 0.5×	402 0.6×	484 0.7×	699 1.3×	171	5.6k
Stephen C. Strother United States	46	4.1k 1.0×	3.2k 1.8×	498 0.7×	439 0.7×	732 1.4×	220	7.8k
Sophie Achard France	19	5.6k 1.4×	2.2k 1.2×	1.1k 1.7×	196 0.3×	510 1.0×	70	6.6k
Jagath C. Rajapakse Singapore	37	2.4k 0.6×	1.4k 0.8×	318 0.5×	1.0k 1.6×	855 1.6×	214	7.7k
Pedro A. Valdés‐Sosa Cuba	50	6.3k 1.5×	1.0k 0.6×	566 0.8×	407 0.6×	749 1.4×	228	8.3k
Janaı́na Mourão-Miranda United Kingdom	36	4.1k 1.0×	1.2k 0.6×	932 1.3×	474 0.7×	1.2k 2.3×	77	5.7k
Arjan Hillebrand Netherlands	54	8.4k 2.0×	1.8k 1.0×	725 1.0×	187 0.3×	997 1.9×	198	10.0k
Srikanth Ryali United States	32	4.4k 1.1×	1.2k 0.6×	829 1.2×	268 0.4×	635 1.2×	70	5.5k

Countries citing papers authored by Sergey Plis

Since Specialization

Citations

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

Fields of papers citing papers by Sergey Plis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Plis

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fu, Zening, et al.. (2025). Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal. Brain Sciences. 15(1). 60–60.

Fu, Zening, et al.. (2024). A simple but tough-to-beat baseline for fMRI time-series classification. NeuroImage. 303. 120909–120909. 1 indexed citations

Ye, Tao, et al.. (2024). Privacy-Preserving Visualization of Brain Functional Network Connectivity. 1–5. 1 indexed citations

Plis, Sergey, Mohamed Masoud, Taylor Hanayik, et al.. (2024). Brainchop: Providing an Edge Ecosystem for Deployment of Neuroimaging Artificial Intelligence Models. SHILAP Revista de lepidopterología. 4. 3 indexed citations

Masoud, Mohamed, et al.. (2023). Brainchop: In-browser MRI volumetric segmentation andrendering. The Journal of Open Source Software. 8(83). 5098–5098. 3 indexed citations

Misiura, Maria, et al.. (2023). Revisiting Functional Dysconnectivity: A Review of Three Model Frameworks in Schizophrenia. PsyArXiv (OSF Preprints). 4 indexed citations

Fedorov, Alex, Lei Wu, Judith M. Ford, et al.. (2023). Chromatic fusion: Generative multimodal neuroimaging data fusion provides multi‐informed insights into schizophrenia. Human Brain Mapping. 44(17). 5828–5845. 2 indexed citations

Gazula, Harshvardhan, et al.. (2022). Interpreting models interpreting brain dynamics. Scientific Reports. 12(1). 12023–12023. 11 indexed citations

Abrol, Anees, Zening Fu, Mustafa S. Salman, et al.. (2021). Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning. Nature Communications. 12(1). 125 indexed citations

10.

Fu, Zening, et al.. (2021). Attend to connect: end-to-end brain functional connectivity estimation. International Conference on Learning Representations. 1 indexed citations

11.

Damaraju, Eswar, et al.. (2020). A Classification-Based Approach to Estimate the Number of Resting Functional Magnetic Resonance Imaging Dynamic Functional Connectivity States. Brain Connectivity. 11(2). 132–145. 13 indexed citations

12.

Gazula, Harshvardhan, et al.. (2019). Decentralized distribution-sampled classification models with application to brain imaging. Journal of Neuroscience Methods. 329. 108418–108418. 6 indexed citations

13.

Liu, Jingyu, Vince D. Calhoun, Hans J. Johnson, et al.. (2018). High and Low Levels of an NTRK2-Driven Genetic Profile Affect Motor- and Cognition-Associated Frontal Gray Matter in Prodromal Huntington’s Disease. Brain Sciences. 8(7). 116–116. 2 indexed citations

14.

Bridwell, David A., et al.. (2017). Cortical Sensitivity to Guitar Note Patterns: EEG Entrainment to Repetition and Key. Frontiers in Human Neuroscience. 11. 90–90. 6 indexed citations

15.

Hyttinen, Antti, Sergey Plis, Matti Järvisalo, Frederick Eberhardt, & David Danks. (2017). A constraint optimization approach to causal discovery from subsampled time series data. International Journal of Approximate Reasoning. 90. 208–225. 6 indexed citations

16.

Plis, Sergey, Anand D. Sarwate, Jessica A. Turner, Mohammad R. Arbabshirani, & Vince D. Calhoun. (2014). From private sites to big data without compromising privacy: A case of neuroimaging data classification. Value in Health. 17(3). A190–A190. 1 indexed citations

17.

Hjelm, R Devon, Vince D. Calhoun, Ruslan Salakhutdinov, et al.. (2014). Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks. NeuroImage. 96. 245–260. 105 indexed citations

18.

Calhoun, Vince D., Ronald Phlypo, Rogers F. Silva, et al.. (2013). Correction: Independent Component Analysis for Brain fMRI Does Indeed Select for Maximal Independence. PLoS ONE. 8(10). 27 indexed citations

19.

Allen, Elena A., Eswar Damaraju, Sergey Plis, et al.. (2012). Tracking Whole-Brain Connectivity Dynamics in the Resting State. Cerebral Cortex. 24(3). 663–676. 2171 indexed citations breakdown →

20.

Bießmann, Felix, Sergey Plis, Frank C. Meinecke, Tom Eichele, & Klaus‐Robert Müller. (2011). Analysis of Multimodal Neuroimaging Data. IEEE Reviews in Biomedical Engineering. 4. 26–58. 114 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.

Explore authors with similar magnitude of impact