activity
20152025
most citedDetermining the minimum embedding dimension for state space reconstruction through recurrence networks

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.SR2025

Dynamically derived morphology from the recurrence patterns of close binary stars using Kepler data

Anisha R. V. Kashyap, D. Pawar, R. Misra +2

In this work, we propose a novel method to classify close binary stars, derived from the dynamical structure inherent in their light curves. We apply the technique to light curves…

nlin.CD2024

Multivariate data analysis using recurrence measures

Shivam Kumar, R. Misra, G. Ambika

The emergent dynamics of complex systems often arise from the internal dynamical interactions among different elements and hence is to be modeled using multiple variables that repr…

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-bio.NC2017★ 1 cited

Determining the minimum embedding dimension for state space reconstruction through recurrence networks

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

The analysis of observed time series from nonlinear systems is usually done by making a time-delay reconstruction to unfold the dynamics on a multi-dimensional state space. An impo…

physics.data-an2015

How does noise affect the structure of a chaotic attractor: A recurrence network perspective

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

We undertake a preliminary numerical investigation to understand how the addition of white and colored noise to a time series affects the topology and structure of the underlying c…