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

Whom Rajeev Sharma trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ron Kohavi
  2. Vladimir Naumovich Vapni
  3. Varun Bajaj
  4. Joshua S. Richman
  5. Ram Bilas Pachori
  6. Hojjat Adeli
  7. Babak Mohammadzadeh Asl
  8. Patrick Flandrin
  9. Samanwoy Ghosh-Dastidar
  10. Johan A. K. Suykens

Who trusts Rajeev Sharma overall

  1. Abhijit Bhattacharyya
  2. Ram Bilas Pachori
  3. Mostafa Rostaghi
  4. Usha R. Acharya

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.

  1. Physiological time-series analysis using approximate entropy and sample entropy. (American Journal of Physiology. Heart and Circulatory Physiology)
  2. The Nature of Statistical Learning Theory
  3. A Mathematical Theory of Communication
  4. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal (Artif. Intell. Medicine)
  5. Sample entropy analysis of neonatal heart rate variability. (American Journal of Physiology. Regulatory Integrative and Comparative Physiology)
  6. Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  7. Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions (Expert systems with applications)
  8. Bivariate Empirical Mode Decomposition (IEEE Signal Processing Letters)
  9. Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition (IEEE Transactions on Information Technology in Biomedicine)
  10. Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients

Their papers