Linard Hoessly
Papers
1
Total Citations
16
H-Index
1
About
Linard Hoessly is a mathematical researcher whose work lies at the intersection of stochastic processes, reaction network theory, and probability. His primary research areas include the analysis of stationary distributions in complex reaction networks, with a particular focus on autocatalytic systems and condensation phenomena. Hoessly’s major contribution is the explicit derivation of product-form stationary distributions for a broad class of reaction networks that do not satisfy the classical assumptions of weak reversibility or zero deficiency—a significant theoretical advance that expands the toolkit for modeling stochastic chemical systems. His most-cited paper, “Stationary distributions and condensation in autocatalytic reaction networks” (2019), has garnered 16 citations and provides foundational insights into how condensation behavior emerges in these networks. This work is notable for bridging gaps between mathematical theory and applied modeling, offering new pathways for understanding nonequilibrium steady states. Hoessly’s research is highly relevant for students and researchers working in stochastic reaction networks, systems biology, and statistical physics, as it opens doors to analyzing previously intractable systems.
Research Focus
Key Achievements
Top Papers
- 1Stationary distributions and condensation in autocatalytic reaction networks16 citations · 2019