Alejandro Ojeda

2.0k total citations · 1 hit paper
19 papers, 1.3k citations indexed

About

Alejandro Ojeda is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alejandro Ojeda has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 3 papers in Signal Processing and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alejandro Ojeda's work include Neural dynamics and brain function (14 papers), EEG and Brain-Computer Interfaces (13 papers) and Functional Brain Connectivity Studies (12 papers). Alejandro Ojeda is often cited by papers focused on Neural dynamics and brain function (14 papers), EEG and Brain-Computer Interfaces (13 papers) and Functional Brain Connectivity Studies (12 papers). Alejandro Ojeda collaborates with scholars based in United States, Cuba and Russia. Alejandro Ojeda's co-authors include Scott Makeig, Tim Mullen, Christian Kothe, Gert Cauwenberghs, Tzyy‐Ping Jung, Yu Mike, Nima Bigdely-Shamlo, Pedro A. Valdés‐Sosa, Pedro A. Valdés-Hernández and Eduardo Martínez‐Montes and has published in prestigious journals such as NeuroImage, Neuropsychologia and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Alejandro Ojeda

19 papers receiving 1.3k citations

Hit Papers

Real-time neuroimaging and cognitive monitoring using wea... 2015 2026 2018 2022 2015 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
Alejandro Ojeda United States 13 1.1k 206 135 110 97 19 1.3k
Trent Lewis Australia 16 873 0.8× 217 1.1× 103 0.8× 160 1.5× 91 0.9× 40 1.1k
Michal Teplan Slovakia 7 903 0.8× 223 1.1× 154 1.1× 153 1.4× 43 0.4× 28 1.2k
Sheng-Hsiou Hsu United States 15 848 0.7× 141 0.7× 91 0.7× 165 1.5× 49 0.5× 22 1.0k
Javier Gómez‐Pilar Spain 24 1.3k 1.1× 196 1.0× 208 1.5× 69 0.6× 203 2.1× 69 1.5k
Makoto Miyakoshi United States 25 1.3k 1.1× 221 1.1× 201 1.5× 68 0.6× 295 3.0× 89 1.6k
Thomas F. Collura United States 13 1.2k 1.1× 182 0.9× 114 0.8× 65 0.6× 121 1.2× 43 1.4k
Maximilien Chaumon France 15 1.4k 1.2× 151 0.7× 244 1.8× 56 0.5× 73 0.8× 25 1.5k
Sherry Vorbach United States 11 1.6k 1.4× 457 2.2× 83 0.6× 79 0.7× 99 1.0× 13 1.9k
Scott E. Kerick United States 18 914 0.8× 146 0.7× 152 1.1× 72 0.7× 46 0.5× 41 1.2k

Countries citing papers authored by Alejandro Ojeda

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Ojeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Ojeda

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

All Works

19 of 19 papers shown
1.
Ojeda, Alejandro, et al.. (2022). EEG source derived salience network coupling supports real-world attention switching. Neuropsychologia. 178. 108445–108445. 7 indexed citations
2.
Ojeda, Alejandro, Kenneth Kreutz-Delgado, & Jyoti Mishra. (2021). Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors. Neural Computation. 33(9). 2408–2438. 17 indexed citations
3.
Ojeda, Alejandro, et al.. (2020). SimBSI: An open-source Simulink library for developing closed-loop brain signal interfaces in animals and humans. Biomedical Physics & Engineering Express. 6(3). 35023–35023. 5 indexed citations
4.
Balasubramani, Pragathi Priyadharsini, Alejandro Ojeda, Gillian Grennan, et al.. (2020). Mapping cognitive brain functions at scale. NeuroImage. 231. 117641–117641. 23 indexed citations
5.
Ojeda, Alejandro, et al.. (2020). Open-source raspberry Pi-based operant box for translational behavioral testing in rodents. Journal of Neuroscience Methods. 342. 108761–108761. 21 indexed citations
6.
Bigdely-Shamlo, Nima, Jonathan Touryan, Alejandro Ojeda, et al.. (2019). Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies. NeuroImage. 207. 116361–116361. 22 indexed citations
7.
Bigdely-Shamlo, Nima, Jonathan Touryan, Alejandro Ojeda, et al.. (2019). Automated EEG mega-analysis II: Cognitive aspects of event related features. NeuroImage. 207. 116054–116054. 19 indexed citations
8.
Ojeda, Alejandro, Kenneth Kreutz-Delgado, & Tim Mullen. (2018). Fast and robust Block-Sparse Bayesian learning for EEG source imaging. NeuroImage. 174. 449–462. 38 indexed citations
9.
Nonoda, Yutaka, Makoto Miyakoshi, Alejandro Ojeda, et al.. (2016). Interictal high-frequency oscillations generated by seizure onset and eloquent areas may be differentially coupled with different slow waves. Clinical Neurophysiology. 127(6). 2489–2499. 87 indexed citations
10.
Mullen, Tim, Christian Kothe, Yu Mike, et al.. (2015). Real-time neuroimaging and cognitive monitoring using wearable dry EEG. IEEE Transactions on Biomedical Engineering. 62(11). 2553–2567. 518 indexed citations breakdown →
11.
Ojeda, Alejandro, Nima Bigdely-Shamlo, & Scott Makeig. (2014). MoBILAB: an open source toolbox for analysis and visualization of mobile brain/body imaging data. Frontiers in Human Neuroscience. 8. 121–121. 64 indexed citations
12.
Iversen, John R., Alejandro Ojeda, Tim Mullen, et al.. (2014). Causal analysis of cortical networks involved in reaching to spatial targets. PubMed. 2014. 4399–4402. 8 indexed citations
13.
Ojeda, Alejandro, et al.. (2014). Measuring musical engagement using expressive movement and EEG brain dynamics.. Psychomusicology Music Mind and Brain. 24(1). 75–91. 8 indexed citations
14.
Mullen, Tim, Christian Kothe, Alejandro Ojeda, et al.. (2013). Modeling Source Dynamics and Connectivity Using Wearable EEG. 51. 1 indexed citations
15.
Ojeda, Alejandro, et al.. (2013). Towards an Affective Brain-Computer Interface Monitoring Musical Engagement. 871–875. 4 indexed citations
16.
Mullen, Tim, Christian Kothe, Yu Mike, et al.. (2013). Real-time modeling and 3D visualization of source dynamics and connectivity using wearable EEG. PubMed. 2013. 2184–2187. 277 indexed citations
17.
Machado, Calixto, et al.. (2009). Source Analysis of Alpha Rhythm Reactivity Using LORETA Imaging with 64-Channel EEG and Individual MRI. Clinical EEG and Neuroscience. 40(3). 150–156. 15 indexed citations
18.
Valdés-Hernández, Pedro A., Alejandro Ojeda, Eduardo Martínez‐Montes, et al.. (2009). White matter architecture rather than cortical surface area correlates with the EEG alpha rhythm. NeuroImage. 49(3). 2328–2339. 114 indexed citations
19.
Valdés-Hernández, Pedro A., Nicolás von Ellenrieder, Alejandro Ojeda, et al.. (2009). Approximate average head models for EEG source imaging. Journal of Neuroscience Methods. 185(1). 125–132. 55 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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