Mónica Cano

800 total citations
25 papers, 563 citations indexed

About

Mónica Cano is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Mónica Cano has authored 25 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Surgery. Recurrent topics in Mónica Cano's work include Neural dynamics and brain function (19 papers), Functional Brain Connectivity Studies (18 papers) and EEG and Brain-Computer Interfaces (17 papers). Mónica Cano is often cited by papers focused on Neural dynamics and brain function (19 papers), Functional Brain Connectivity Studies (18 papers) and EEG and Brain-Computer Interfaces (17 papers). Mónica Cano collaborates with scholars based in Spain, Japan and United States. Mónica Cano's co-authors include Roberto Hornero, Jesús Poza, Miguel Ángel Tola-Arribas, Carlos Gómez, Tatiana Bezdudnaya, Harvey A. Swadlow, José‐Manuel Alonso, Yulia Bereshpolova, Carl R. Stoelzel and Gonzalo C. Gutiérrez‐Tobal and has published in prestigious journals such as Neuron, Journal of the American Statistical Association and Nature Neuroscience.

In The Last Decade

Mónica Cano

23 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mónica Cano Spain 13 482 144 57 55 40 25 563
José C. Masdeu Spain 6 476 1.0× 173 1.2× 39 0.7× 63 1.1× 22 0.6× 8 662
Jue Mo United States 8 554 1.1× 136 0.9× 15 0.3× 44 0.8× 28 0.7× 13 651
Heidemarie Gast Switzerland 15 365 0.8× 91 0.6× 55 1.0× 80 1.5× 25 0.6× 35 550
Jay Pathmanathan United States 12 422 0.9× 118 0.8× 60 1.1× 222 4.0× 39 1.0× 28 592
Pavel Prado Chile 12 366 0.8× 50 0.3× 50 0.9× 52 0.9× 16 0.4× 33 506
Avgis Hadjipapas United Kingdom 15 680 1.4× 229 1.6× 21 0.4× 30 0.5× 17 0.4× 29 752
Rodrigo San-Martin Brazil 7 276 0.6× 56 0.4× 24 0.4× 70 1.3× 49 1.2× 9 366
Giulia Regalia Italy 11 346 0.7× 187 1.3× 67 1.2× 253 4.6× 62 1.6× 17 632
Rajasimhan Rajagovindan United States 10 397 0.8× 119 0.8× 26 0.5× 36 0.7× 11 0.3× 14 556

Countries citing papers authored by Mónica Cano

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónica Cano

This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Cano. A scholar is included among the top collaborators of Mónica Cano 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 Mónica Cano. Mónica Cano 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.
Núñez, Pablo, Miguel Ángel Tola-Arribas, Mónica Cano, et al.. (2025). Disrupted temporal structure of the M/EEG meta-states sequencing in Alzheimer’s disease. NeuroImage. 322. 121555–121555.
2.
Poza, Jesús, Víctor Rodríguez-González, Miguel Ángel Tola-Arribas, et al.. (2025). Integrative and interpretable framework to unveil the neurophysiological fingerprint of Alzheimer’s disease and mild cognitive impairment: A machine learning-SHAP approach. Journal of Applied Biomedicine. 45(3). 438–450.
3.
Poza, Jesús, Víctor Rodríguez-González, Miguel Ángel Tola-Arribas, et al.. (2024). Exploring the disruptions of the neurophysiological organization in Alzheimer’s disease: An integrative approach. Computer Methods and Programs in Biomedicine. 250. 108197–108197. 3 indexed citations
4.
Gómez, Carlos, Javier Gómez‐Pilar, Roberto Hornero, et al.. (2023). Quantification of the robustness of functional neural networks: application to the characterization of Alzheimer’s disease continuum. Journal of Neural Engineering. 20(3). 36023–36023. 2 indexed citations
5.
Rodríguez-González, Víctor, Pablo Núñez, Carlos Gómez, et al.. (2023). Connectivity-based Meta-Bands: A new approach for automatic frequency band identification in connectivity analyses. NeuroImage. 280. 120332–120332. 4 indexed citations
6.
Núñez, Pablo, Jesús Poza, Carlos Gómez, et al.. (2021). Abnormal meta-state activation of dynamic brain networks across the Alzheimer spectrum. NeuroImage. 232. 117898–117898. 33 indexed citations
7.
Núñez, Pablo, Jesús Poza, Carlos Gómez, et al.. (2020). Characterization of the dynamic behavior of neural activity in Alzheimer’s disease: exploring the non-stationarity and recurrence structure of EEG resting-state activity. Journal of Neural Engineering. 17(1). 16071–16071. 15 indexed citations
8.
Gómez, Carlos, Jesús Poza, Víctor Rodríguez-González, et al.. (2019). Analysis of Volume Conduction Effects on Different Functional Connectivity Metrics: Application to Alzheimer’s Disease EEG Signals. PubMed. 2019. 6434–6437. 5 indexed citations
9.
Núñez, Pablo, Jesús Poza, Carlos Gómez, et al.. (2019). Characterization of EEG Resting-state Activity in Alzheimer’s Disease by Means of Recurrence Plot Analyses. PubMed. 14. 5786–5789. 3 indexed citations
10.
11.
Gómez, Carlos, Jesús Poza, Mario Martínez‐Zarzuela, et al.. (2018). Measuring Alterations of Spontaneous EEG Neural Coupling in Alzheimer's Disease and Mild Cognitive Impairment by Means of Cross-Entropy Metrics. Frontiers in Neuroinformatics. 12. 76–76. 21 indexed citations
12.
Gómez, Carlos, Jesús Poza, Pablo Núñez, et al.. (2018). Assessment of EEG Connectivity Patterns in Mild Cognitive Impairment Using Phase Slope Index. PubMed. 2018. 263–266. 3 indexed citations
13.
Gómez, Carlos, Jesús Poza, Gonzalo C. Gutiérrez‐Tobal, et al.. (2018). Automated Multiclass Classification of Spontaneous EEG Activity in Alzheimer’s Disease and Mild Cognitive Impairment. Entropy. 20(1). 35–35. 109 indexed citations
14.
Poza, Jesús, Alejandro Bachiller, Carlos Gómez, et al.. (2017). Phase-amplitude coupling analysis of spontaneous EEG activity in Alzheimer's disease. PubMed. 2017. 2259–2262. 20 indexed citations
15.
Faes, Christel, Helena Geys, Geert Molenberghs, et al.. (2008). A Flexible Method to Measure Synchrony in Neuronal Firing. Journal of the American Statistical Association. 103(481). 149–161. 12 indexed citations
16.
Bezdudnaya, Tatiana, Mónica Cano, Yulia Bereshpolova, et al.. (2006). Thalamic Burst Mode and Inattention in the Awake LGNd. Neuron. 49(3). 421–432. 101 indexed citations
17.
Cano, Mónica, Tatiana Bezdudnaya, Harvey A. Swadlow, & José‐Manuel Alonso. (2006). Brain state and contrast sensitivity in the awake visual thalamus. Nature Neuroscience. 9(10). 1240–1242. 42 indexed citations
18.
Cano, Mónica, et al.. (2005). Tratamiento con valproato y esteatosis hepática. Revista de Neurología. 41(12). 766–766. 3 indexed citations
19.
Swadlow, Harvey A., Yulia Bereshpolova, Tatiana Bezdudnaya, Mónica Cano, & Carl R. Stoelzel. (2004). A Multi-Channel, Implantable Microdrive System for Use With Sharp, Ultra-Fine “Reitboeck” Microelectrodes. Journal of Neurophysiology. 93(5). 2959–2965. 46 indexed citations
20.
Cano, Mónica, et al.. (2000). Discrimination of Line Orientation in Humans and Monkeys. Journal of Neurophysiology. 83(5). 2639–2648. 35 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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