Rajeev Sharma
Cognitive Neuroscience · with Pachori · 2015
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 26 citations into it; #5,011 of 10,852 by trust here, #8,619 by citations
- Signal Processing — 17 citations into it; #4,132 of 7,572 by trust here, #5,570 by citations
- Artificial Intelligence — 9 citations into it
- Cardiology and Cardiovascular Medicine — 6 citations into it; #232 of 906 by trust here, #760 by citations
- Statistical and Nonlinear Physics — 5 citations into it
Whom Rajeev Sharma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ron Kohavi
- Vladimir Naumovich Vapni
- Varun Bajaj
- Joshua S. Richman
- Ram Bilas Pachori
- Hojjat Adeli
- Babak Mohammadzadeh Asl
- Patrick Flandrin
- Samanwoy Ghosh-Dastidar
- Johan A. K. Suykens
Who trusts Rajeev Sharma overall
Papers from Rajeev Sharma's perspective
Ordered by how strongly the researchers Rajeev Sharma trusts endorse each paper. Same corpus, a different order for every researcher.
- Physiological time-series analysis using approximate entropy and sample entropy. (American Journal of Physiology. Heart and Circulatory Physiology)
- The Nature of Statistical Learning Theory
- A Mathematical Theory of Communication
- Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal (Artif. Intell. Medicine)
- Sample entropy analysis of neonatal heart rate variability. (American Journal of Physiology. Regulatory Integrative and Comparative Physiology)
- Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions (Expert systems with applications)
- Bivariate Empirical Mode Decomposition (IEEE Signal Processing Letters)
- Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition (IEEE Transactions on Information Technology in Biomedicine)
- Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients