What is he best known for?
The fields of study he is best known for:
- Composite material
- Food science
- Thermodynamics
His primary areas of study are Thermodynamics, Moisture, Isothermal process, Mineralogy and Composite material.
Micha Peleg studied Thermodynamics and Arrhenius equation that intersect with Reaction rate constant.
His biological study spans a wide range of topics, including Water activity, Sorption, Standard deviation, Brittleness and Humidity.
His Isothermal process research incorporates elements of Biological system, Nonlinear system, Differential equation, Survival analysis and Survival data.
His Survival analysis research includes themes of Mechanics and Thermal.
In Composite material, Micha Peleg works on issues like Compressibility, which are connected to Cohesion.
His most cited work include:
- An Empirical Model for the Description of Moisture Sorption Curves (678 citations)
- Reinterpretation of Microbial Survival Curves (608 citations)
- Assessment of a semi-empirical four parameter general model for sigmoid moisture sorption isotherms (266 citations)
What are the main themes of his work throughout his whole career to date?
Micha Peleg mostly deals with Composite material, Thermodynamics, Mineralogy, Isothermal process and Statistics.
His Thermodynamics research is multidisciplinary, relying on both Reaction rate constant and Arrhenius equation.
The various areas that he examines in his Mineralogy study include Moisture and Fractal dimension.
His work in Moisture addresses subjects such as Brittleness, which are connected to disciplines such as Crunchiness.
His Isothermal process research is multidisciplinary, incorporating perspectives in Rate equation, Kinetics, Biological system, Differential equation and Survival analysis.
His research in Rheology intersects with topics in Mechanics, Relaxation, Viscometer and Deformation.
He most often published in these fields:
- Composite material (16.88%)
- Thermodynamics (16.62%)
- Mineralogy (14.61%)
What were the highlights of his more recent work (between 2008-2021)?
- Statistics (11.84%)
- Isothermal process (12.34%)
- Exponential function (4.03%)
In recent papers he was focusing on the following fields of study:
Micha Peleg mainly investigates Statistics, Isothermal process, Exponential function, Thermodynamics and Kinetics.
His research integrates issues of Phenomenological model, Sterilization, Kinetic energy, Mechanics and Nutrient in his study of Isothermal process.
His Exponential function research integrates issues from Biological system, Simulation, Consistency and Nonlinear system.
Micha Peleg combines subjects such as Scientific method, Stochastic modelling and Survival analysis with his study of Biological system.
His studies deal with areas such as Reaction rate constant, Mathematical model and Arrhenius equation as well as Thermodynamics.
His Kinetics study also includes
- Simultaneous equations which connect with Algebraic expression and Atmospheric temperature range,
- Microbial inactivation which intersects with area such as Carbon dioxide.
Between 2008 and 2021, his most popular works were:
- The Arrhenius Equation Revisited (118 citations)
- Microbial Growth Curves: What the Models Tell Us and What They Cannot (106 citations)
- Probabilistic Model of Microbial Cell Growth, Division, and Mortality (38 citations)
In his most recent research, the most cited papers focused on:
- Composite material
- Food science
- Statistics
Micha Peleg spends much of his time researching Isothermal process, Thermodynamics, Kinetics, Statistics and Arrhenius equation.
His Isothermal process study also includes fields such as
- Exponential function together with Thiamine,
- Mathematical model that intertwine with fields like Mechanics.
Micha Peleg combines topics linked to Reaction rate constant with his work on Thermodynamics.
While the research belongs to areas of Kinetics, Micha Peleg spends his time largely on the problem of Simultaneous equations, intersecting his research to questions surrounding Thermal, Atmospheric temperature range and Analytical chemistry.
His work on Logistic function, Survival analysis and Stochastic modelling is typically connected to Sigmoid function as part of general Statistics study, connecting several disciplines of science.
His research in Rate equation focuses on subjects like Ecology, which are connected to Biological system.
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