activity
20042026
most citedMeasure for degree heterogeneity in complex networks and its application to recurrence network analysis

73 citations · 370 across the 21 of their papers we have counts for

collaborators

21 papers

cond-mat.mtrl-sci2026

Strain-Induced Relaxor Multiferroicity at Room Temperature in Hexaferrite BaFe12O19 Thin Films

Yilin Evan Li, Harikrishnan KP, Sankalpa Hazra +19

Multiferroic materials that combine magnetic and electric order at room temperature are rare. Here, we demonstrate strain-induced room-temperature polar order in the ferrimagnetic…

physics.data-an2024

Tracking Dynamical Transitions using Link Density of Recurrence Networks

Rinku Jacob, R. Misra, K P Harikrishnan +1

We present Link Density (LD) computed from the Recurrence Network (RN) of a time series data as an effective measure that can detect dynamical transitions in a system. We illustrat…

q-fin.ST2022★ 11 cited

Recurrence measures and transitions in stock market dynamics

Krishnadas M., K. P. Harikrishnan, G. Ambika

The financial markets are understood as complex dynamical systems whose dynamics is analysed mostly using nonstationary and brief data sets that usually come from stock markets. Fo…

physics.soc-ph2019★ 5 cited

Quantifying information loss on chaotic attractors through recurrence networks

K. P. Harikrishnan, R. Misra, G. Ambika

We propose an entropy measure for the analysis of chaotic attractors through recurrence networks which are un-weighted and un-directed complex networks constructed from time series…

physics.med-ph2018★ 5 cited

Higher order spectral analysis of ECG signals

Yamini Kotriwar, Sneha Kachhara, K. P. Harikrishnan +1

Higher Order Spectral (HOS) analysis is often applied effectively to analyze many bio-medical signals to detect nonlinear and non-Gaussian processes. One of the most basic HOS meth…

nlin.CD2017

Degree weighted recurrence networks for the analysis of time series data

Rinku Jacob, K. P. Harikrishnan, R. Misra +1

Recurrence networks are powerful tools used effectively in the nonlinear analysis of time series data. The analysis in this context is done mostly with unweighted and undirected co…