Kristina Lerman

University of Southern California

Papers

15

Total Citations

1,009

H-Index

11

About

Kristina Lerman is a computational researcher whose work spans swarm robotics, multi-agent systems, and social media analytics. She is perhaps best known for her foundational contributions to the mathematical modeling of collective robot behavior, developing probabilistic and macroscopic frameworks that allow researchers to analytically predict and understand emergent phenomena in distributed robotic systems. Her 2006 paper on dynamic task allocation in multi-robot systems, with 278 citations, stands as a landmark contribution, demonstrating how robots can adaptively redistribute effort in response to changing environments without centralized control. Earlier work, including her 2001 macroscopic analytical model of collaboration and her 2002 study of interference effects in robotic foraging, established rigorous mathematical tools — notably coupled differential equations — for studying group robot dynamics, collectively accumulating hundreds of citations. Lerman also explored the theoretical boundaries of collective system design, contrasting top-down and bottom-up methodologies in multi-agent architectures. More recently, she has extended her analytical lens to online social systems, applying entropy-based methods to characterize user behavior on Twitter. Across her career, Lerman's work is unified by a drive to bring mathematical precision to complex, decentralized systems — whether robotic swarms or human social networks.

Research Focus

Key Achievements

11
H-Index
15
Papers
1,009
Total Citations
67
Avg Citations/Paper
🏆 Most Cited Paper
Analysis of Dynamic Task Allocation in Multi-Robot Systems
278 citations · 2006
📈 Most Prolific Year: 2004 (4 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Southern California

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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