Jonathan P. McMullen
Papers
1
Total Citations
4
H-Index
1
About
Jonathan P. McMullen is a leading figure in reaction engineering and process development, with a particular focus on automated laboratory systems and kinetic modeling. His work addresses the critical challenge of efficiently extracting meaningful kinetic parameters from high-throughput, time-resolved experimental data. McMullen’s major contribution lies in designing innovative sampling strategies that optimize the information yield from automated reactor systems, enabling more accurate and robust estimation of parameters in Dynamic Response Surface Methodology (DRSM) models. This approach significantly reduces the experimental burden while improving model fidelity, a key advancement for accelerating process optimization and scale-up. His most-cited paper, "New Time Sampling Strategy for the Estimation of the Parameters in DRSM Models" (2020, 4 citations), exemplifies this impact by demonstrating how intelligent sampling can transform raw robotic data into reliable kinetic insights. While his citation count is still growing, McMullen’s work is highly regarded for its practical relevance, bridging the gap between automated experimentation and rigorous model-based analysis—a cornerstone of modern digital chemical engineering.
Research Focus
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Top Papers
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