Govindan Rangarajan

Cognitive Neuroscience · 2002–2013

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 15 citations into it; #2,533 of 10,852 by trust here, #4,819 by citations
• Artificial Intelligence — 10 citations into it; #13,720 of 35,345 by trust here, #16,771 by citations
• Signal Processing — 9 citations into it; #3,642 of 7,572 by trust here, #3,913 by citations
• Control and Systems Engineering — 7 citations into it
• Economics and Econometrics — 5 citations into it; #11,994 of 23,481 by trust here, #9,444 by citations

Whom Govindan Rangarajan trusts overall

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

1. Thomas Schreiber
2. Mingzhou Ding
3. Hirotugu Akaike
4. Andrew T. Walden
5. Michael R. Chernick
6. Yonghong Chen
7. Karl J. Friston
8. Ali H. Sayed
9. Ingrid Daubechies
10. Clive W. J. Granger

Who trusts Govindan Rangarajan overall

1. Guanrong Chen
2. Xiang Li
3. Mattia F. Pagnotta
4. Martin A. Vinck
5. Xiaohai Sun
6. Lionel C. Barnett
7. Anil K. Seth
8. Ali Shojaie
9. Jin Zhou
10. Justin Riddle

Papers from Govindan Rangarajan's perspective

Ordered by how strongly the researchers Govindan Rangarajan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Partial directed coherence: a new concept in neural structure determination (Biological cybernetics)
2. Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. (Magnetic Resonance Imaging)
3. Investigating causal relations by econometric models and cross-spectral methods
4. Dynamic causal modelling
5. Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment (Biological cybernetics)
6. Wavelet Methods for Time Series Analysis (Technometrics)
7. Ten Lectures on Wavelets
8. Frequency decomposition of conditional Granger causality and application to multivariate neural field potential data. (Journal of Neuroscience Methods)
9. Matrix analysis
10. Reply to ``Comment on `Performance of different synchronization measures in real data: A case study on electroencephalographic signals' ''

Their papers

• Analyzing multiple nonlinear time series with extended Granger causality (2004) — 397 citations
• Estimating Granger causality from fourier and wavelet transforms of time series data. (2007) — 323 citations
• Multivariate Granger causality: an estimation framework based on factorization of the spectral density matrix (2013)
• Analyzing information flow in brain networks with nonparametric Granger causality (2008) — 398 citations
• Stability of synchronized chaos in coupled dynamical systems (2002) — 142 citations