Jorge Riera

2.8k total citations
77 papers, 1.9k citations indexed

About

Jorge Riera is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jorge Riera has authored 77 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cognitive Neuroscience, 39 papers in Cellular and Molecular Neuroscience and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jorge Riera's work include Neural dynamics and brain function (40 papers), Functional Brain Connectivity Studies (24 papers) and Neuroscience and Neuropharmacology Research (21 papers). Jorge Riera is often cited by papers focused on Neural dynamics and brain function (40 papers), Functional Brain Connectivity Studies (24 papers) and Neuroscience and Neuropharmacology Research (21 papers). Jorge Riera collaborates with scholars based in United States, Japan and Cuba. Jorge Riera's co-authors include Pedro A. Valdés‐Sosa, Ryuta Kawashima, Tohru Ozaki, Ryuta Kawashima, Juan Carlos Jiménez, Akira Sumiyoshi, Xiaohong Wan, R. Biscay, Kazuki Iwata and Wolfgang A. Teder-Sälejärvi and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Jorge Riera

73 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Riera United States 24 1.4k 459 369 129 111 77 1.9k
Anders Ledberg Sweden 17 2.1k 1.5× 411 0.9× 378 1.0× 78 0.6× 100 0.9× 39 2.6k
Felix Darvas United States 24 1.1k 0.8× 305 0.7× 383 1.0× 121 0.9× 120 1.1× 40 1.7k
Laura Marzetti Italy 25 2.5k 1.8× 213 0.5× 443 1.2× 142 1.1× 112 1.0× 75 2.8k
Anna Korzeniewska United States 18 1.6k 1.1× 290 0.6× 110 0.3× 83 0.6× 128 1.2× 41 1.9k
Pieter van Mierlo Belgium 25 1.5k 1.1× 289 0.6× 237 0.6× 103 0.8× 478 4.3× 99 1.8k
Cheryl J. Aine United States 29 1.7k 1.2× 184 0.4× 373 1.0× 162 1.3× 125 1.1× 65 2.1k
Aiga Suzuki Japan 3 1.6k 1.1× 181 0.4× 233 0.6× 306 2.4× 99 0.9× 7 1.9k
Paul L. Nunez United States 19 3.0k 2.1× 608 1.3× 233 0.6× 328 2.5× 130 1.2× 31 3.4k
Michael Lindner United Kingdom 16 1.3k 0.9× 304 0.7× 142 0.4× 67 0.5× 102 0.9× 23 1.9k
Simo Vanni Finland 27 2.1k 1.5× 197 0.4× 234 0.6× 48 0.4× 99 0.9× 64 2.4k

Countries citing papers authored by Jorge Riera

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Riera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Riera

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Riera. A scholar is included among the top collaborators of Jorge Riera 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 Jorge Riera. Jorge Riera 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.
Volakis, John L., et al.. (2025). Efficient Recording of Rodent Neuronal Activity Using Microelectrodes With a Battery Free Wireless Neurosensing System. IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology. 9(4). 393–399.
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Venkatakrishnan, Satheesh Bojja, et al.. (2022). Multichannel Wireless Neurosensing System for battery-free monitoring of neuronal activity. Biosensors and Bioelectronics. 213. 114455–114455. 4 indexed citations
4.
Valdés-Hernández, Pedro A., Byron Bernal, Catalina Dunoyer, et al.. (2021). Identification of Negative BOLD Responses in Epilepsy Using Windkessel Models. Frontiers in Neurology. 12. 659081–659081. 3 indexed citations
5.
Sajad, Amirsaman, et al.. (2020). A Minimal Biophysical Model of Neocortical Pyramidal Cells: Implications for Frontal Cortex Microcircuitry and Field Potential Generation. Journal of Neuroscience. 40(44). 8513–8529. 10 indexed citations
6.
Bernal, Byron, Magno R. Guillen, Pedro A. Valdés‐Sosa, et al.. (2019). Epilepsy Focus Localization in Patients Utilizing BOLD Differences Related to Regional Metabolic Dynamics. Open Journal of Radiology. 9(3). 163–175. 1 indexed citations
7.
Mekawy, Moataz, Atsushi Saito, Akira Sumiyoshi, et al.. (2019). Hybrid magneto-fluorescent nano-probe for live apoptotic cells monitoring at brain cerebral ischemia. Materials Science and Engineering C. 100. 485–492. 10 indexed citations
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9.
Venkatakrishnan, Satheesh Bojja, et al.. (2018). Low-Impedance Probes for Wireless Monitoring of Neural Activation. 76–78. 4 indexed citations
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Riera, Jorge, et al.. (2015). Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings. Journal of Visualized Experiments. e52700–e52700. 12 indexed citations
12.
Riera, Jorge, Takeshi OGAWA, Akira Sumiyoshi, et al.. (2012). Pitfalls in the dipolar model for the neocortical EEG sources. Journal of Neurophysiology. 108(4). 956–975. 64 indexed citations
13.
OGAWA, Takeshi, Jorge Riera, Akira Sumiyoshi, et al.. (2011). Large-Scale Heterogeneous Representation of Sound Attributes in Rat Primary Auditory Cortex: From Unit Activity to Population Dynamics. Journal of Neuroscience. 31(41). 14639–14653. 15 indexed citations
14.
Riera, Jorge, Rieko Hatanaka, Takafumi Uchida, Tohru Ozaki, & Ryuta Kawashima. (2011). Quantifying the Uncertainty of Spontaneous Ca2+ Oscillations in Astrocytes: Particulars of Alzheimer's Disease. Biophysical Journal. 101(3). 554–564. 23 indexed citations
15.
Riera, Jorge, Rieko Hatanaka, Tohru Ozaki, & Ryuta Kawashima. (2011). Modeling the spontaneousCa2+oscillations in astrocytes: Inconsistencies and usefulness. Journal of Integrative Neuroscience. 10(4). 439–473. 17 indexed citations
16.
Sumiyoshi, Akira, Jorge Riera, Takeshi OGAWA, & Ryuta Kawashima. (2010). A mini-cap for simultaneous EEG and fMRI recording in rodents. NeuroImage. 54(3). 1951–1965. 25 indexed citations
17.
Riera, Jorge, Takeshi OGAWA, Rieko Hatanaka, et al.. (2009). Concurrent observations of astrocytic Ca2+ activity and multisite extracellular potentials from an intact cerebral cortex. Journal of Biophotonics. 3(3). 147–160. 8 indexed citations
18.
Riera, Jorge, Arne Schousboe, Helle S. Waagepetersen, Clare Howarth, & Fahmeed Hyder. (2008). The micro-architecture of the cerebral cortex: Functional neuroimaging models and metabolism. NeuroImage. 40(4). 1436–1459. 38 indexed citations
19.
Wan, Xiaohong, Jorge Riera, Kazuki Iwata, et al.. (2006). The neural basis of the hemodynamic response nonlinearity in human primary visual cortex: Implications for neurovascular coupling mechanism. NeuroImage. 32(2). 616–625. 58 indexed citations
20.
Baillet, Sylvain, Jorge Riera, Gildas Marin, et al.. (2000). Evaluation of inverse methods and head models for EEG source localization using a human skull phantom. Physics in Medicine and Biology. 46(1). 77–96. 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.

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