Saha, S., Deshmukh, P. C., Kheifets, A. S. et al. (2019). Dominance of correlation and relativistic effects on photodetachment time delay well above threshold. Physical Review A, 99(6). DOI: 10.1103/PhysRevA.99.063413
Category: Physics
The specific angular momenta of superthin galaxies
Jadhav, V. Y., & Banerjee, A. (2019). The specific angular momenta of superthin galaxies: Cue to their origin?. Monthly Notices of the Royal Astronomical Society, 488(1), 547-558. DOI: 10.1093/mnras/stz1680
Link deletion in directed complex networks
Kashyap, G., & Ambika, G. (2019). Link deletion in directed complex networks. Physica A: Statistical Mechanics and its Applications, 514, 631-643. DOI: 10.1016/j.physa.2018.09.156
Weighted recurrence networks for the analysis of time-series data
Jacob, R., Harikrishnan, K. P., Misra, R., & Ambika, G. (2019). Weighted recurrence networks for the analysis of time-series data. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 475(2221). DOI: 10.1098/rspa.2018.0256
Role of time scales and topology on the dynamics of complex networks
Gupta, K., & Ambika, G. (2019). Role of time scales and topology on the dynamics of complex networks. Chaos, 29(3). DOI: 10.1063/1.5063753
Frequency locking and travelling burst sequences in community structured network of inhibitory neurons with differing time-scales
Mozumdar, K., & Ambika, G. (2019). Frequency locking and travelling burst sequences in community structured network of inhibitory neurons with differing time-scales. Communications in Nonlinear Science and Numerical Simulation, 69, 320-328. DOI: 10.1016/j.cnsns.2018.09.026
Synapse loss and progress of Alzheimer’s disease – A network model
Kashyap, G., Bapat, D., Das, D., … & Ambika, G. (2019). Synapse loss and progress of Alzheimer’s disease – A network model. Scientific Reports, 9(1). DOI: 10.1038/s41598-019-43076-y
Quantifying information loss on chaotic attractors through recurrence networks
Harikrishnan, K. P., Misra, R., & Ambika, G. (2019). Quantifying information loss on chaotic attractors through recurrence networks. Physics Letters A, 383(27). DOI: 10.1016/j.physleta.2019.125854
Bimodality and scaling in recurrence networks from ECG data
Kachhara, S., & Ambika, G. (2019). Bimodality and scaling in recurrence networks from ECG data. EPL, 127(6). DOI: 10.1209/0295-5075/127/60004
Classification of close binary stars using recurrence networks
George, S. V., Misra, R., & Ambika, G. (2019). Classification of close binary stars using recurrence networks. Chaos, 29(11). DOI: 10.1063/1.5120739