Mostafa Rostaghi
Economics and Econometrics · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 9 citations into it
- Statistical and Nonlinear Physics — 9 citations into it
- Cognitive Neuroscience — 6 citations into it
- Artificial Intelligence — 5 citations into it
- Molecular Biology — 5 citations into it
Whom Mostafa Rostaghi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chstoph Bandt
- Madalena Costa
- Massimiliano Zanin
- Long Zhang
- Claude E. Shannon
- Luciano Zunino
- Ary L. Goldberger
- Ralph G. Andrzejak
- Rajeev Sharma
- Roberto Hornero
Papers from Mostafa Rostaghi's perspective
Ordered by how strongly the researchers Mostafa Rostaghi trusts endorse each paper. Same corpus, a different order for every researcher.
- Permutation entropy: a natural complexity measure for time series. (Physical Review Letters)
- Physiological time-series analysis using approximate entropy and sample entropy. (American Journal of Physiology. Heart and Circulatory Physiology)
- Multiscale entropy analysis of biological signals. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- A Mathematical Theory of Communication
- Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Permutation Entropy and Its Main Biomedical and Econophysics Applications: A Review (Entropy)
- Bearing fault diagnosis using multi-scale entropy and adaptive neuro-fuzzy inference (Expert systems with applications)
- Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals (Entropy)
- Interpretation of the Lempel-Ziv Complexity Measure in the Context of Biomedical Signal Analysis
- Weighted-permutation entropy: a complexity measure for time series incorporating amplitude information. (Physical review. E, Statistical, nonlinear, and soft matter physics)
Their papers
- Application of dispersion entropy to status characterization of rotary machines (2019) — 104 citations
- Dispersion Entropy: A Measure for Time-Series Analysis (2016) — 736 citations