Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
9367 | 1162 | 42.8 | 67% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | PARTIAL DIRECTED COHERENCE | authKW | 818592 | 4% | 69% | 45 |
2 | GRANGER CAUSALITY | authKW | 780667 | 15% | 18% | 169 |
3 | DIRECTED TRANSFER FUNCTION | authKW | 507660 | 3% | 60% | 32 |
4 | TRANSFER ENTROPY | authKW | 407778 | 3% | 40% | 39 |
5 | EFFECTIVE CONNECTIVITY | authKW | 305716 | 6% | 17% | 70 |
6 | BIOSEGNALI | address | 193489 | 1% | 82% | 9 |
7 | FDM | address | 151578 | 1% | 38% | 15 |
8 | DIRECTED TRANSFER FUNCTION DTF | authKW | 133018 | 1% | 56% | 9 |
9 | PARTIAL DIRECTED COHERENCE PDC | authKW | 133018 | 1% | 56% | 9 |
10 | MULTIVARIATE AUTOREGRESSIVE MVAR MODEL | authKW | 131383 | 0% | 100% | 5 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Neuroimaging | 7382 | 10% | 0% | 116 |
2 | Neurosciences | 4648 | 38% | 0% | 436 |
3 | Physics, Mathematical | 2224 | 13% | 0% | 148 |
4 | Physics, Fluids & Plasmas | 1769 | 10% | 0% | 116 |
5 | Engineering, Biomedical | 1223 | 9% | 0% | 100 |
6 | Mathematical & Computational Biology | 1212 | 6% | 0% | 72 |
7 | Computer Science, Cybernetics | 890 | 3% | 0% | 31 |
8 | Radiology, Nuclear Medicine & Medical Imaging | 821 | 11% | 0% | 132 |
9 | Computer Science, Artificial Intelligence | 610 | 7% | 0% | 76 |
10 | Physics, Multidisciplinary | 505 | 11% | 0% | 129 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | BIOSEGNALI | 193489 | 1% | 82% | 9 |
2 | FDM | 151578 | 1% | 38% | 15 |
3 | TI INNOVAT TECHNOL SIGNAL DETECT PROC | 94591 | 1% | 60% | 6 |
4 | FREIBURG DATA ANAL MODELING | 79113 | 1% | 19% | 16 |
5 | NEUROPHYS NEUROPHYSIOL | 78830 | 0% | 100% | 3 |
6 | HELMHOLTZ RADIAT NUCL PHYS | 75556 | 1% | 18% | 16 |
7 | SARATOV BRANCH | 65570 | 3% | 8% | 33 |
8 | BRAIN IMAGING MODELING SECT | 61093 | 1% | 23% | 10 |
9 | PHYS BIOTECH | 59714 | 0% | 45% | 5 |
10 | IRCS PROGRAM | 59121 | 0% | 75% | 3 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | NEUROIMAGE | 14723 | 7% | 1% | 84 |
2 | ENTROPY | 10370 | 2% | 1% | 28 |
3 | JOURNAL OF NEUROSCIENCE METHODS | 9224 | 4% | 1% | 51 |
4 | NEUROINFORMATICS | 7992 | 1% | 3% | 10 |
5 | BIOLOGICAL CYBERNETICS | 5840 | 2% | 1% | 26 |
6 | PHYSICAL REVIEW E | 5145 | 9% | 0% | 103 |
7 | IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 4829 | 3% | 0% | 38 |
8 | BRAIN TOPOGRAPHY | 4184 | 1% | 1% | 11 |
9 | HUMAN BRAIN MAPPING | 3784 | 2% | 1% | 22 |
10 | FRONTIERS IN NEUROINFORMATICS | 3757 | 1% | 2% | 6 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | PORTA, A , FAES, L , (2016) WIENER-GRANGER CAUSALITY IN NETWORK PHYSIOLOGY WITH APPLICATIONS TO CARDIOVASCULAR CONTROL AND NEUROSCIENCE.PROCEEDINGS OF THE IEEE. VOL. 104. ISSUE 2. P. 282 -309 | 95 | 57% | 1 |
2 | FAES, L , ERLA, S , NOLLO, G , (2012) MEASURING CONNECTIVITY IN LINEAR MULTIVARIATE PROCESSES: DEFINITIONS, INTERPRETATION, AND PRACTICAL ANALYSIS.COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE. VOL. . ISSUE . P. - | 54 | 86% | 10 |
3 | SMIRNOV, DA , (2014) QUANTIFICATION OF CAUSAL COUPLINGS VIA DYNAMICAL EFFECTS: A UNIFYING PERSPECTIVE.PHYSICAL REVIEW E. VOL. 90. ISSUE 6. P. - | 64 | 69% | 5 |
4 | BRESSLER, SL , SETH, AK , (2011) WIENER-GRANGER CAUSALITY: A WELL ESTABLISHED METHODOLOGY.NEUROIMAGE. VOL. 58. ISSUE 2. P. 323-329 | 39 | 75% | 164 |
5 | BARNETT, L , SETH, AK , (2014) THE MVGC MULTIVARIATE GRANGER CAUSALITY TOOLBOX: A NEW APPROACH TO GRANGER-CAUSAL INFERENCE.JOURNAL OF NEUROSCIENCE METHODS. VOL. 223. ISSUE . P. 50-68 | 34 | 77% | 65 |
6 | SMIRNOV, DA , MOKHOV, II , (2015) RELATING GRANGER CAUSALITY TO LONG-TERM CAUSAL EFFECTS.PHYSICAL REVIEW E. VOL. 92. ISSUE 4. P. - | 53 | 66% | 2 |
7 | PAPANA, A , KYRTSOU, C , KUGIUMTZIS, D , DIKS, C , (2013) SIMULATION STUDY OF DIRECT CAUSALITY MEASURES IN MULTIVARIATE TIME SERIES.ENTROPY. VOL. 15. ISSUE 7. P. 2635 -2661 | 39 | 89% | 14 |
8 | CHICHARRO, D , LEDBERG, A , (2012) FRAMEWORK TO STUDY DYNAMIC DEPENDENCIES IN NETWORKS OF INTERACTING PROCESSES.PHYSICAL REVIEW E. VOL. 86. ISSUE 4. P. - | 51 | 67% | 15 |
9 | FAES, L , NOLLO, G , (2013) MEASURING FREQUENCY DOMAIN GRANGER CAUSALITY FOR MULTIPLE BLOCKS OF INTERACTING TIME SERIES.BIOLOGICAL CYBERNETICS. VOL. 107. ISSUE 2. P. 217-232 | 35 | 92% | 2 |
10 | MARINAZZO, D , LIAO, W , CHEN, HF , STRAMAGLIA, S , (2011) NONLINEAR CONNECTIVITY BY GRANGER CAUSALITY.NEUROIMAGE. VOL. 58. ISSUE 2. P. 330 -338 | 44 | 67% | 43 |
Classes with closest relation at Level 1 |