Amanda S. Hering

Papers

Total Citations

H-Index

About

Amanda S. Hering is a statistician whose research bridges environmental monitoring, spatiotemporal statistics, and the design of efficient data collection systems. Her work addresses critical challenges in environmental science, particularly in optimizing sensor networks for water quality and air pollution monitoring. Hering’s most-cited contributions include methodological advances in change-point detection and multivariate statistical process control, applied to environmental and industrial contexts. She is known for developing robust statistical frameworks that improve the reliability of environmental assessments, with her case study–driven approach (2020) highlighting practical applications of statistical methods in real-world settings. While her citation counts reflect a focused, emerging impact, her work has been instrumental in shaping how researchers design and analyze environmental monitoring networks. Hering’s achievements include leadership roles in statistical societies and collaborations with agencies like the U.S. Environmental Protection Agency, underscoring her commitment to translating statistical theory into actionable environmental solutions. Her research continues to influence students and practitioners seeking to harness data for sustainable resource management.