activity
20172021
most citedTransition to synchrony in degree-frequency correlated Sakaguchi-Kuramoto model

39 citations · 63 across the 3 of their papers we have counts for

collaborators

6 papers

nlin.AO202118 cited

Amplification of explosive width in complex networks

Pitambar Khanra, Prosenjit Kundu, Pinaki Pal +2

We present an adaptive coupling strategy to induce hysteresis/explosive synchronization (ES) in complex networks of phase oscillators Sakaguchi-Kuramoto model). The coupling strate…

nlin.AO2019

Optimizing synchronization in multiplex networks of phase oscillators

Prosenjit Kundu, Pitambar Khanra, Chittaranjan Hens +1

We present an analytical scheme to achieve optimal synchronization in multiplex networks of frustrated and non-frustrated phase oscillators. We derive a multiplex synchrony alignme…

nlin.AO20196 cited

Emergent dynamics in delayed attractive-repulsively coupled networks

Prosenjit Kundu, Lekha Sharma, Mauparna Nandan +3

We investigate different emergent dynamics namely oscillation quenching and revival of oscillation in a global network of identical oscillators coupled with diffusive (positive) de…

nlin.AO2018

Explosive synchronization in phase-frustrated multiplex networks

Pitambar Khanra, Prosenjit Kundu, Chittaranjan Hens +1

We investigate the phenomenon of first order transition (explosive synchronization (ES)) in adaptively coupled phase-frustrated bi-layer multiplex network. We consider Sakaguchi-Ku…

nlin.AO2018

Perfect synchronization in networks of phase-frustrated oscillators

Prosenjit Kundu, Chittaranjan Hens, Baruch Barzel +1

Synchronizing phase frustrated Kuramoto oscillators, a challenge that has found applications from neuronal networks to the power grid, is an eluding problem, as even small phase-la…

nlin.AO201739 cited

Transition to synchrony in degree-frequency correlated Sakaguchi-Kuramoto model

Prosenjit Kundu, Pitambar Khanra, Chittaranjan Hens +1

We investigate transition to synchrony in degree-frequency correlated Sakaguchi-Kuramoto (SK) model on complex networks both analytically and numerically. We analytically derive se…