Hernando Ombao

5.9k total citations
166 papers, 3.6k citations indexed

About

Hernando Ombao is a scholar working on Cognitive Neuroscience, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, Hernando Ombao has authored 166 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Cognitive Neuroscience, 29 papers in Economics and Econometrics and 29 papers in Statistics and Probability. Recurrent topics in Hernando Ombao's work include Functional Brain Connectivity Studies (52 papers), Neural dynamics and brain function (42 papers) and EEG and Brain-Computer Interfaces (27 papers). Hernando Ombao is often cited by papers focused on Functional Brain Connectivity Studies (52 papers), Neural dynamics and brain function (42 papers) and EEG and Brain-Computer Interfaces (27 papers). Hernando Ombao collaborates with scholars based in United States, Saudi Arabia and Malaysia. Hernando Ombao's co-authors include Rainer von Sachs, Daniel J. Buysse, David J. Kupfer, Chee‐Ming Ting, Martica H. Hall, Mark Fiecas, Jonathan Raz, Moo K. Chung, Melissa A. Clark and Qingxia Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Hernando Ombao

147 papers receiving 3.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hernando Ombao 1.4k 492 416 368 358 166 3.6k
Kay H. Brodersen 1.6k 1.1× 434 0.9× 237 0.6× 106 0.3× 149 0.4× 27 3.5k
Bart Jansen 2.5k 1.8× 197 0.4× 333 0.8× 404 1.1× 381 1.1× 206 5.9k
Théo Gasser 2.4k 1.7× 251 0.5× 210 0.5× 594 1.6× 368 1.0× 134 8.0k
Catherine A. Sugar 2.3k 1.6× 949 1.9× 181 0.4× 217 0.6× 214 0.6× 162 7.8k
Jie Huang 1.2k 0.8× 257 0.5× 332 0.8× 137 0.4× 578 1.6× 171 4.7k
Michael Wibral 5.2k 3.7× 503 1.0× 324 0.8× 194 0.5× 446 1.2× 97 6.9k
Georg Dorffner 1.8k 1.3× 891 1.8× 182 0.4× 394 1.1× 185 0.5× 138 4.0k
Brian Caffo 3.6k 2.5× 1.1k 2.3× 1.6k 3.8× 174 0.5× 261 0.7× 228 10.1k
J.P. Reilly 969 0.7× 147 0.3× 328 0.8× 895 2.4× 64 0.2× 192 6.0k
L. Harrison 3.2k 2.2× 467 0.9× 890 2.1× 146 0.4× 55 0.2× 38 4.3k

Countries citing papers authored by Hernando Ombao

Since Specialization
Citations

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

Fields of papers citing papers by Hernando Ombao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hernando Ombao

This figure shows the co-authorship network connecting the top 25 collaborators of Hernando Ombao. A scholar is included among the top collaborators of Hernando Ombao 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 Hernando Ombao. Hernando Ombao 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.
Chau, Thi Tuyet Trang, et al.. (2025). Impact of Surface Ocean CO 2 Atlas (SOCAT) observing network extensions on the quantification of global air-sea CO 2 fluxes. The Science of The Total Environment. 999. 180265–180265. 1 indexed citations
2.
3.
Ombao, Hernando, et al.. (2025). FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis. International Journal of Approximate Reasoning. 187. 109552–109552.
4.
Ombao, Hernando, et al.. (2024). Assessment of Fractal Synchronization during an Epileptic Seizure. Entropy. 26(8). 666–666. 1 indexed citations
5.
Jasra, Ajay, et al.. (2024). Antithetic multilevel particle filters. Advances in Applied Probability. 56(4). 1400–1439.
6.
Prado, Raquel, et al.. (2024). Bayesian Nonparametric Multivariate Mixture of Autoregressive Processes with Application to Brain Signals. Econometrics and Statistics. 1 indexed citations
7.
Ombao, Hernando, et al.. (2024). Electrode Surface Area Impacts Measurement of High Frequency Oscillations in Human Intracranial EEG. IEEE Transactions on Biomedical Engineering. 71(11). 3283–3292. 2 indexed citations
8.
Tan, Yee Fan, Chee‐Ming Ting, Fuad Noman, Raphaël C.‐W. Phan, & Hernando Ombao. (2024). fMRI Functional Connectivity Augmentation Using Convolutional Generative Adversarial Networks for Brain Disorder Classification. 1–5.
9.
Frostig, Ron D., et al.. (2024). Filtrated common functional principal component analysis of multigroup functional data. The Annals of Applied Statistics. 18(2).
10.
Noman, Fuad, Chee‐Ming Ting, Hakmook Kang, Raphaël C.‐W. Phan, & Hernando Ombao. (2024). Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. IEEE Journal of Biomedical and Health Informatics. 28(3). 1644–1655. 25 indexed citations
11.
Ombao, Hernando, et al.. (2023). A novel method for dynamically altering the surface area of intracranial EEG electrodes. Journal of Neural Engineering. 20(2). 26002–26002. 7 indexed citations
12.
Degras, David, Chee‐Ming Ting, & Hernando Ombao. (2022). Markov-switching state-space models with applications to neuroimaging. Computational Statistics & Data Analysis. 174. 107525–107525. 8 indexed citations
13.
Ombao, Hernando, et al.. (2022). Frequency-Specific Non-Linear Granger Causality in a Network of Brain Signals. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1401–1405. 1 indexed citations
14.
Ting, Chee‐Ming, Jeremy I Skipper, Fuad Noman, Steven L. Small, & Hernando Ombao. (2021). Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI. IEEE Transactions on Medical Imaging. 41(6). 1431–1442. 5 indexed citations
15.
Krokos, George, et al.. (2019). Natural Climate Oscillations may Counteract Red Sea Warming Over the Coming Decades. Geophysical Research Letters. 46(6). 3454–3461. 37 indexed citations
16.
Ombao, Hernando, et al.. (2018). Spectral synchronicity in brain signals. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 7 indexed citations
17.
Castruccio, Stefano, Hernando Ombao, & Marc G. Genton. (2018). A Scalable Multi-Resolution Spatio-Temporal Model for Brain Activation and Connectivity in Fmri Data. Biometrics. 74(3). 823–833. 17 indexed citations
18.
Kang, Hakmook, Hernando Ombao, Christopher Fonnesbeck, Zhaohua Ding, & Victoria L. Morgan. (2017). A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural Data. Brain Connectivity. 7(4). 219–227. 13 indexed citations
19.
Ombao, Hernando, et al.. (2015). Short-Term Traffic Flow Prediction with Mixture Autoregressive Model. Transportation Research Board 94th Annual MeetingTransportation Research Board. 1 indexed citations
20.
Gongvatana, Assawin, Ronald A. Cohen, Stephen Correia, et al.. (2011). Clinical contributors to cerebral white matter integrity in HIV-infected individuals. Journal of NeuroVirology. 17(5). 477–486. 61 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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