Mario Chávez

17.7k total citations · 2 hit papers
103 papers, 12.3k citations indexed

About

Mario Chávez is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Mario Chávez has authored 103 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Cognitive Neuroscience, 15 papers in Cellular and Molecular Neuroscience and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Mario Chávez's work include Neural dynamics and brain function (45 papers), Functional Brain Connectivity Studies (34 papers) and EEG and Brain-Computer Interfaces (28 papers). Mario Chávez is often cited by papers focused on Neural dynamics and brain function (45 papers), Functional Brain Connectivity Studies (34 papers) and EEG and Brain-Computer Interfaces (28 papers). Mario Chávez collaborates with scholars based in France, Italy and United States. Mario Chávez's co-authors include Stefano Boccaletti, Dong‐Uk Hwang, Vito Latora, Yamir Moreno, Jacques Martinerie, Bernard Cazelles, Andreas Amann, Miguel Valencia, Fabrizio De Vico Fallani and Simon Hales and has published in prestigious journals such as Physical Review Letters, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Mario Chávez

95 papers receiving 11.8k citations

Hit Papers

align trajectories sort by overperformance

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.

Complex networks: Structure and dynamics

2006 7.6k citations Mario Chávez et al. profile →
Wavelet analysis of ecological time series

2008 572 citations Bernard Cazelles, Mario Chávez et al. profile →

Author Peers

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

Author						Papers	Cites
Mario Chávez	5.3k	3.2k	3.1k	1.3k	821	103	12.3k
Dong‐Uk Hwang	5.0k 1.0×	1.5k 0.5×	2.9k 0.9×	1.1k 0.8×	587 0.7×	37	8.7k
Mason A. Porter	5.9k 1.1×	2.4k 0.8×	1.4k 0.4×	1.3k 1.0×	727 0.9×	224	12.1k
Albert Dı́az-Guilera	7.1k 1.3×	1.3k 0.4×	4.4k 1.4×	1.5k 1.1×	518 0.6×	107	10.6k
Ying‐Cheng Lai	9.4k 1.8×	1.7k 0.5×	5.6k 1.8×	1.5k 1.1×	890 1.1×	495	16.3k
Philip Holmes	14.9k 2.8×	3.9k 1.2×	8.1k 2.6×	1.3k 1.0×	1.1k 1.4×	287	35.9k
Massimo Marchiori	3.4k 0.6×	2.2k 0.7×	1.3k 0.4×	602 0.4×	323 0.4×	61	8.4k
Mingzhou Ding	3.1k 0.6×	9.9k 3.1×	2.0k 0.6×	642 0.5×	1.0k 1.2×	226	15.2k
Stefano Boccaletti	13.1k 2.5×	4.0k 1.3×	10.2k 3.3×	2.0k 1.5×	1.4k 1.7×	282	22.2k
Derek Abbott	3.8k 0.7×	2.2k 0.7×	1.6k 0.5×	1.2k 0.9×	403 0.5×	756	23.3k
Kazuyuki Aihara	4.9k 0.9×	3.5k 1.1×	3.2k 1.0×	4.0k 3.0×	631 0.8×	815	17.5k

Countries citing papers authored by Mario Chávez

Since Specialization

Citations

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

Fields of papers citing papers by Mario Chávez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Chávez

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

All Works

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20 of 20 papers shown

Vermersch, Anne‐Isabelle, et al.. (2026). A simple EEG-based tool to guide therapeutic hypothermia decisions in neonatal hypoxic-ischemic encephalopathy.. PubMed. 274. 109166–109166.

Candia‐Rivera, Diego, Luca Faes, Fabrizio De Vico Fallani, & Mario Chávez. (2025). Measures and Models of Brain-Heart Interactions. IEEE Reviews in Biomedical Engineering. 19. 24–40. 6 indexed citations

Candia‐Rivera, Diego, et al.. (2025). Modelling the time‐resolved modulations of cardiac activity in rats: A study on pharmacological autonomic stimulation. The Journal of Physiology. 1 indexed citations

Candia‐Rivera, Diego & Mario Chávez. (2025). Cardiac-vagal rhythm echoes on the heartbeat’s mechanosensory imprint in the brain. Communications Biology. 8(1). 1578–1578.

Fallani, Fabrizio De Vico, et al.. (2025). Hyperbolic embedding of brain networks detects regions disrupted by neurodegeneration in Alzheimer's disease. Physical review. E. 111(4). 44402–44402. 2 indexed citations

Candia‐Rivera, Diego, Fabrizio De Vico Fallani, & Mario Chávez. (2025). Robust and time-resolved estimation of cardiac sympathetic and parasympathetic indices. Royal Society Open Science. 12(1). 240750–240750. 6 indexed citations

Candia‐Rivera, Diego & Mario Chávez. (2025). A method for dyadic cardiac rhythmicity analysis: Preliminary evidence on bilateral interactions in fetal–maternal cardiac dynamics. Experimental Physiology. 110(8). 1049–1059. 3 indexed citations

Hanin, Aurélie, et al.. (2025). Incidence, mortality, and management of status epilepticus from 2012 to 2022: An 11‐year nationwide study. Epilepsia. 67(1). 213–228.

Candia‐Rivera, Diego, Marie Vidailhet, Mario Chávez, & Fabrizio De Vico Fallani. (2024). A framework for quantifying the coupling between brain connectivity and heartbeat dynamics: Insights into the disrupted network physiology in Parkinson's disease. Human Brain Mapping. 45(5). e26668–e26668. 9 indexed citations

10.

Candia‐Rivera, Diego, Mario Chávez, & Fabrizio De Vico Fallani. (2024). Measures of the coupling between fluctuating brain network organization and heartbeat dynamics. Network Neuroscience. 8(2). 557–575. 15 indexed citations

11.

Chávez, Mario, et al.. (2024). Detecting local perturbations of networks in a latent hyperbolic embedding space. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(6). 4 indexed citations

12.

Dono, Fedele, et al.. (2023). Can heart rate variability identify a high-risk state of upcoming seizure?. Epilepsy Research. 197. 107232–107232. 7 indexed citations

13.

Cazelles, Bernard, Kévin Cazelles, Huaiyu Tian, Mario Chávez, & Mercedes Pascual. (2023). Disentangling local and global climate drivers in the population dynamics of mosquito-borne infections. Science Advances. 9(39). eadf7202–eadf7202. 10 indexed citations

14.

Hudson, Anna L., et al.. (2022). Combined head accelerometry and EEG improves the detection of respiratory‐related cortical activity during inspiratory loading in healthy participants. Physiological Reports. 10(13). e15383–e15383. 3 indexed citations

15.

Lehongre, Katia, Valério Frazzini, Virginie Lambrecq, et al.. (2022). Daily resting‐state intracranial EEG connectivity for seizure risk forecasts. Epilepsia. 64(2). e23–e29. 3 indexed citations

16.

Guillon, Jérémy, Mario Chávez, Federico Battiston, et al.. (2019). Disrupted core-periphery structure of multimodal brain networks in Alzheimer’s disease. Network Neuroscience. 3(2). 635–652. 18 indexed citations

17.

Chávez, Mario & Bernard Cazelles. (2018). Detecting dynamic spatial correlation patterns with generalized wavelet\n coherence and non-stationary surrogate data. arXiv (Cornell University). 38 indexed citations

18.

Chávez, Mario, et al.. (2018). Surrogate-Based Artifact Removal From Single-Channel EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(3). 540–550. 75 indexed citations

19.

Guillon, Jérémy, Yohan Attal, Olivier Colliot, et al.. (2016). Loss of inter-frequency brain hubs in Alzheimer's disease. arXiv (Cornell University). 2 indexed citations

20.

Hudson, Anna L., Fabrizio De Vico Fallani, Jacques Martinerie, et al.. (2016). Riemannian Geometry Applied to Detection of Respiratory States From EEG Signals: The Basis for a Brain–Ventilator Interface. IEEE Transactions on Biomedical Engineering. 64(5). 1138–1148. 30 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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