Luca Faes

8.1k total citations
255 papers, 5.3k citations indexed

About

Luca Faes is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Luca Faes has authored 255 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Cardiology and Cardiovascular Medicine, 116 papers in Cognitive Neuroscience and 79 papers in Biomedical Engineering. Recurrent topics in Luca Faes's work include Heart Rate Variability and Autonomic Control (164 papers), Non-Invasive Vital Sign Monitoring (67 papers) and EEG and Brain-Computer Interfaces (64 papers). Luca Faes is often cited by papers focused on Heart Rate Variability and Autonomic Control (164 papers), Non-Invasive Vital Sign Monitoring (67 papers) and EEG and Brain-Computer Interfaces (64 papers). Luca Faes collaborates with scholars based in Italy, Belgium and Slovakia. Luca Faes's co-authors include Giandomenico Nollo, Alberto Porta, Daniele Marinazzo, Flavia Ravelli, R. Antolini, Michal Javorka, Alessandro Montalto, Riccardo Pernice, Yuri Antonacci and Vlasta Bari and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Luca Faes

234 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Faes Italy 41 3.1k 2.3k 1.4k 587 485 255 5.3k
Tapio Seppänen Finland 41 3.6k 1.2× 1.2k 0.5× 1.6k 1.2× 415 0.7× 389 0.8× 257 7.3k
Niels Wessel Germany 39 3.1k 1.0× 1.4k 0.6× 1.2k 0.8× 851 1.4× 331 0.7× 165 5.8k
Andreas Voss Germany 42 5.4k 1.7× 1.4k 0.6× 1.6k 1.1× 668 1.1× 663 1.4× 264 6.9k
Madalena D. Costa United States 25 2.7k 0.9× 2.2k 0.9× 1.3k 0.9× 1.5k 2.5× 170 0.4× 52 7.1k
N. Kannathal Singapore 17 2.3k 0.7× 1.7k 0.7× 1.1k 0.8× 196 0.3× 197 0.4× 22 4.0k
Roberto Hornero Spain 50 1.3k 0.4× 4.7k 2.0× 1.3k 0.9× 395 0.7× 197 0.4× 352 8.7k
Ki H. Chon United States 47 4.9k 1.6× 1.9k 0.8× 3.8k 2.7× 170 0.3× 1.0k 2.1× 306 8.5k
Conor Heneghan Ireland 33 914 0.3× 1.2k 0.5× 1.4k 1.0× 279 0.5× 238 0.5× 114 4.2k
P. Caminal Spain 29 2.5k 0.8× 1.0k 0.4× 1.2k 0.8× 278 0.5× 214 0.4× 197 4.1k
Giuseppe Baselli Italy 40 4.5k 1.4× 2.3k 1.0× 2.3k 1.7× 168 0.3× 804 1.7× 235 8.1k

Countries citing papers authored by Luca Faes

Since Specialization
Citations

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

Fields of papers citing papers by Luca Faes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Faes

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Faes. A scholar is included among the top collaborators of Luca Faes 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 Luca Faes. Luca Faes 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.
Faes, Luca, Gorana Mijatović, Laura Sparacino, & Alberto Porta. (2025). Predictive Information Decomposition as a Tool to Quantify Emergent Dynamical Behaviors in Physiological Networks. IEEE Transactions on Biomedical Engineering. 72(12). 3515–3524.
2.
Antonacci, Yuri, et al.. (2025). Exploring transient neurophysiological states through local and time-varying measures of information dynamics. Applied Mathematics and Computation. 500. 129437–129437.
3.
Raimondi, Anthony J., Alessandro Busacca, Giuseppe Costantino Giaconia, et al.. (2025). Effects of electrocardiographic noise on ultra-short term Heart Rate Variability indices. Computers in Biology and Medicine. 196(Pt C). 110803–110803. 1 indexed citations
4.
Antonacci, Yuri, et al.. (2024). Assessment of EEG Brain Dynamics in Time and Frequency Domains through Information-Theoretic Measures. Nova Science Publishers (Nova Science Publishers, Inc.). 305–310. 1 indexed citations
5.
6.
Paoli, Marco, et al.. (2023). Granger Causality Analysis of Transient Calcium Dynamics in the Honey Bee Antennal Lobe Network. Insects. 14(6). 539–539. 2 indexed citations
7.
Porta, Alberto, Vlasta Bari, Beatrice Cairo, et al.. (2023). Concomitant evaluation of cardiovascular and cerebrovascular controls via Geweke spectral causality to assess the propensity to postural syncope. Medical & Biological Engineering & Computing. 61(12). 3141–3157. 9 indexed citations
8.
Parisi, Antonino, et al.. (2023). Wearable Multisensor Ring-Shaped Probe for Assessing Stress and Blood Oxygenation: Design and Preliminary Measurements. Biosensors. 13(4). 460–460. 14 indexed citations
9.
Faes, Luca, Riccardo Pernice, Gorana Mijatović, et al.. (2021). Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2212). 20200250–20200250. 16 indexed citations
10.
Antonacci, Yuri, Ludovico Minati, Luca Faes, et al.. (2021). Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators. PeerJ Computer Science. 7. e429–e429. 19 indexed citations
11.
Antonacci, Yuri, Laura Astolfi, Giandomenico Nollo, & Luca Faes. (2020). Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological Networks. Entropy. 22(7). 732–732. 32 indexed citations
12.
Pernice, Riccardo, et al.. (2020). Multivariate and Multiscale Complexity of Long-Range Correlated Cardiovascular and Respiratory Variability Series. Entropy. 22(3). 315–315. 13 indexed citations
13.
Faes, Luca, et al.. (2020). Synergistic Information Transfer in the Global System of Financial Markets. Entropy. 22(9). 1000–1000. 16 indexed citations
14.
Zanetti, Matteo, Luca Faes, Giandomenico Nollo, et al.. (2019). Information Dynamics of the Brain, Cardiovascular and Respiratory Network during Different Levels of Mental Stress. Entropy. 21(3). 275–275. 32 indexed citations
15.
Zanetti, Matteo, et al.. (2019). Multilevel assessment of mental stress via network physiology paradigm using consumer wearable devices. Journal of Ambient Intelligence and Humanized Computing. 12(4). 4409–4418. 34 indexed citations
16.
Pernice, Riccardo, Michal Javorka, Jana Krohová, et al.. (2018). Reliability of Short-Term Heart Rate Variability Indexes Assessed through Photoplethysmography. PubMed. 2018. 5610–5613. 28 indexed citations
17.
Faes, Luca, Alessandro Montalto, Sebastiano Stramaglia, Giandomenico Nollo, & Daniele Marinazzo. (2016). Multiscale analysis of information dynamics for linear multivariate processes. Institutional Research Information System (Università degli Studi di Trento). 4 indexed citations
18.
Faes, Luca, Alberto Porta, & Giandomenico Nollo. (2015). Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics. Entropy. 17(1). 277–303. 105 indexed citations
19.
Florian, John P., et al.. (2013). Cardiovascular and autonomic responses to physiological stressors before and after six hours of water immersion. Journal of Applied Physiology. 115(9). 1275–1289. 33 indexed citations
20.
Faes, Luca, et al.. (2006). Evaluation of a nonlinear prediction algorithm quantifying regularity, synchronization and directionality in short cardiovascular variability series. Nova Science Publishers (Nova Science Publishers, Inc.). 33. 177–180. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tapio Seppänen Breakdown of academic impact, for papers by Niels Wessel Breakdown of academic impact, for papers by Andreas Voss Breakdown of academic impact, for papers by Madalena D. Costa Breakdown of academic impact, for papers by N. Kannathal Breakdown of academic impact, for papers by Roberto Hornero Breakdown of academic impact, for papers by Ki H. Chon Breakdown of academic impact, for papers by Conor Heneghan Breakdown of academic impact, for papers by P. Caminal Breakdown of academic impact, for papers by Giuseppe Baselli
Rankless by CCL
2026