Dibakar Ghosh

Indian Statistical Institute

Papers

4

Total Citations

29

H-Index

3

About

Dibakar Ghosh is a rising researcher at the forefront of complex systems and collective dynamics, with a focus on multi-agent systems, swarm intelligence, and synchronization phenomena. His work bridges theoretical physics and applied mathematics to understand how simple agents—from bacteria to robots—coordinate to produce emergent behaviors like flocking, swarming, and synchrony. Ghosh’s most cited paper, "Flocking and swarming in a multi-agent dynamical system" (2023, 19 citations), provides foundational insights into how local interactions drive global order in natural and technological collectives. He further advanced the field with "Directional synchrony among self-propelled particles under spatial influence" (2024, 5 citations), exploring how spatial constraints shape coordinated motion. His notable work "Interplay of sync and swarm: Theory and application of swarmalators" (2026) introduces a novel framework unifying synchronization and swarming, with implications for robotics and active matter. Ghosh also explores interdisciplinary frontiers, as seen in "Artificial intelligence and complex networks meet natural sciences" (2025). With a growing citation impact and a knack for tackling fundamental questions in collective behavior, Ghosh is establishing himself as a key voice in understanding how order emerges from complexity—work that resonates across physics, biology, and engineering.

Research Focus

Key Achievements

3
H-Index
4
Papers
29
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Flocking and swarming in a multi-agent dynamical system
19 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Indian Statistical Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago