The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where John J. Sansalone sits on this spectrum.
This scientist: 212 publications — 52nd percentile
52% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where John J. Sansalone sits on this spectrum.
This scientist: 38 D-Index — 20th percentile
20% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
John J. Sansalone is affiliated with the University of Florida in the United States and specializes in research within Environmental Science and Engineering. Their work concentrates on subfields such as Environmental Engineering, Civil and Structural Engineering, Ocean Engineering, Computational Mechanics, and Water Science and Technology.
The scientist has contributed extensively to topics including Urban Stormwater Management Solutions, Water Systems and Optimization, Groundwater Flow and Contamination Studies, Particle Dynamics in Fluid Flows, Asphalt Pavement Performance Evaluation, Wind and Air Flow Studies, and Infrastructure Maintenance and Monitoring.
Publications by John J. Sansalone have appeared frequently in venues such as the Journal of Environmental Engineering, Water Research, Transportation Research Record Journal of the Transportation Research Board, Advanced Materials, and Journal of Hydrology.
Recent papers include "A CFD-ML augmented alternative to residence time for clarification basin scaling and design" (2021, Water Research), "Implementing machine learning to optimize the cost-benefit of urban water clarifier geometrics" (2022, Water Research), "Baffled clarification basin hydrodynamics and elution in a continuous time domain" (2021, Journal of Hydrology), "Large-eddy simulation of flow turbulence in clarification systems" (2021, Acta Mechanica), and "Unit Operation and Process Modeling with Physics-Informed Machine Learning" (2024, Journal of Environmental Engineering).
Frequent co-authors include Haochen Li, David Spelman, Mariana Marchioni, and A. Raimondi. The collaboration with Haochen Li is notable, with multiple joint publications.
John J. Sansalone;Steven G. Buchberger
John J. Sansalone;Joseph M. Koran;Joseph A. Smithson;Steven G. Buchberger
John J. Sansalone;Steven G. Buchberger
John J. Sansalone;Chad M. Cristina
Dilek Turer;J. Barry Maynard;J. John Sansalone
John Joseph Sansalone;John Joseph Sansalone;X Kuang;X Kuang;Vittorio Ranieri;Vittorio Ranieri
Jong-Yeop Kim;John J. Sansalone
John J. Sansalone;Steven G. Buchberger;Souhail R. Al-Abed
Christopher M. Dean;John J. Sansalone;Frank K. Cartledge;John H. Pardue
J. Sansalone;X. Kuang;G. Ying;Vittorio Ranieri
X. Kuang;J. Sansalone;G. Ying;V. Ranieri
S. K. Mishra;Vijay P. Singh;J. J. Sansalone;V. Aravamuthan
Dingfang Liu;John J. Sansalone;Frank K. Cartledge
John J. Sansalone
Donald W. Glenn;John J. Sansalone
J. J. Sansalone;S. G. Buchberger
A. Palla;J. J. Sansalone;I. Gnecco;L. G. Lanza
Chad M. Cristina;John J. Sansalone
John J Sansalone;Jonathan P Hird;Frank K Cartledge;Marty E Tittlebaum
Vadake R. Srinivasan;John J. Sansalone
Jong-Yeop Kim;John J. Sansalone
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