Giandomenico Nollo

Giandomenico Nollo publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Giandomenico Nollo sits on this spectrum.

Giandomenico Nollo D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Giandomenico Nollo sits on this spectrum.

Best Publications

• Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique

  Luca Faes;Giandomenico Nollo;Alberto Porta

  279
  Citations

• Surrogate data analysis for assessing the significance of the coherence function

  L. Faes;G.D. Pinna;A. Porta;R. Maestri

  231
  Citations

• An integrated approach based on uniform quantization for the evaluation of complexity of short-term heart period variability: Application to 24 h Holter recordings in healthy and heart failure humans.

  A. Porta;L. Faes;M. Masé;G. D’Addio

  181
  Citations

• A method for quantifying atrial fibrillation organization based on wave-morphology similarity

  L. Faes;G. Nollo;R. Antolini;F. Gaita

  159
  Citations

• Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics

  Luca Faes;Alberto Porta;Giandomenico Nollo

  146
  Citations

• Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis

  Luca Faes;Silvia Erla;Giandomenico Nollo

  143
  Citations

• Linear and non-linear brain-heart and brain-brain interactions during sleep.

  Luca Faes;Daniele Marinazzo;Fabrice Jurysta;Giandomenico Nollo

  136
  Citations

• Effect of age on complexity and causality of the cardiovascular control: comparison between model-based and model-free approaches.

  Alberto Porta;Luca Faes;Vlasta Bari;Andrea Marchi

  129
  Citations

• Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks

  Luca Faes;Luca Faes;Alberto Porta;Giandomenico Nollo;Giandomenico Nollo;Michal Javorka

  116
  Citations

• Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions

  Luca Faes;Giandomenico Nollo

  116
  Citations

• Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series

  Luca Faes;Giandomenico Nollo;Alberto Porta

  114
  Citations

• Mutual nonlinear prediction as a tool to evaluate coupling strength and directionality in bivariate time series: comparison among different strategies based on k nearest neighbors.

  Luca Faes;Alberto Porta;Giandomenico Nollo

  113
  Citations

• Testing Frequency-Domain Causality in Multivariate Time Series

  L Faes;A Porta;G Nollo

  110
  Citations

• Information dynamics of brain?heart physiological networks during sleep

  Luca L. Faes;Giandomenico G. Nollo;Fabrice Jurysta;Daniele D. Marinazzo

  109
  Citations

• Estimating the decomposition of predictive information in multivariate systems

  Luca Faes;Dimitris Kugiumtzis;Giandomenico Nollo;Fabrice Jurysta

  109
  Citations

• Mechanisms of causal interaction between short-term RR interval and systolic arterial pressure oscillations during orthostatic challenge

  Luca Faes;Giandomenico Nollo;Alberto Porta

  108
  Citations

• Information domain approach to the investigation of cardio-vascular, cardio-pulmonary, and vasculo-pulmonary causal couplings.

  Luca Faes;Giandomenico Nollo;Alberto Porta

  107
  Citations

• Investigating the mechanisms of cardiovascular and cerebrovascular regulation in orthostatic syncope through an information decomposition strategy

  Luca Faes;Alberto Porta;Gianluca Rossato;Alessandro Adami

  105
  Citations

• Compensated Transfer Entropy as a Tool for Reliably Estimating Information Transfer in Physiological Time Series

  Luca Faes;Giandomenico Nollo;Alberto Porta

  105
  Citations

• A framework for assessing frequency domain causality in physiological time series with instantaneous effects.

  Luca Faes;Silvia Erla;Alberto Porta;Giandomenico Nollo;Giandomenico Nollo

  104
  Citations

• Assessment of Granger Causality by Nonlinear Model Identification: Application to Short-term Cardiovascular Variability

  Luca Faes;Giandomenico Nollo;Ki H. Chon

  93
  Citations