What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Composite material
- Mechanical engineering
His main research concerns Mechanics, Discrete element method, Computer simulation, Process engineering and Particle size.
His Mechanics research incorporates themes from Mixing and Mineralogy.
His studies in Discrete element method integrate themes in fields like Fluid dynamics, Composite material, Coating and Fluidization.
His Process engineering research incorporates elements of Process modeling, Pharmaceutical manufacturing, Process control, Quality by Design and Process analytical technology.
His Particle size study incorporates themes from Isothermal process, Chemical kinetics, Reaction rate, Excipient and Dissolution.
His study explores the link between Chemical engineering and topics such as Work that cross with problems in Catalysis.
His most cited work include:
- The Future of Pharmaceutical Manufacturing Sciences. (179 citations)
- Thermal conversion of biomass: Comprehensive reactor and particle modeling (165 citations)
- Decomposition of limestone: The influence of CO2 and particle size on the reaction rate (128 citations)
What are the main themes of his work throughout his whole career to date?
Johannes Khinast mainly focuses on Mechanics, Composite material, Chemical engineering, Process engineering and Coating.
His work carried out in the field of Mechanics brings together such families of science as Mixing and Mixing.
His work blends Composite material and Capsule studies together.
Johannes Khinast has included themes like Pellets and Catalysis in his Chemical engineering study.
His work deals with themes such as Discrete element method and Optical coherence tomography, which intersect with Coating.
His research on Bubble frequently connects to adjacent areas such as Mass transfer.
He most often published in these fields:
- Mechanics (15.95%)
- Composite material (12.34%)
- Chemical engineering (11.51%)
What were the highlights of his more recent work (between 2016-2021)?
- Process engineering (10.26%)
- Discrete element method (6.38%)
- Mechanics (15.95%)
In recent papers he was focusing on the following fields of study:
Johannes Khinast mostly deals with Process engineering, Discrete element method, Mechanics, Composite material and Residence time distribution.
While the research belongs to areas of Process engineering, Johannes Khinast spends his time largely on the problem of Active ingredient, intersecting his research to questions surrounding Extrusion.
His study looks at the relationship between Discrete element method and topics such as Coating, which overlap with Surface finish.
Johannes Khinast combines subjects such as Mixing and Material properties with his study of Mechanics.
His work on Compaction as part of general Composite material study is frequently linked to Capsule, bridging the gap between disciplines.
His Mixing research extends to the thematically linked field of Impeller.
Between 2016 and 2021, his most popular works were:
- 3D printing of oral drugs: a new reality or hype? (46 citations)
- A Review of PAT Strategies in Secondary Solid Oral Dosage Manufacturing of Small Molecules. (39 citations)
- Control of three different continuous pharmaceutical manufacturing processes: Use of soft sensors. (32 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Composite material
- Mechanical engineering
His primary areas of study are Mechanics, Process engineering, Residence time distribution, Discrete element method and Coating.
His work on Volumetric flow rate as part of general Mechanics research is often related to Robotics, thus linking different fields of science.
The study incorporates disciplines such as Process modeling, Compression molding, Molding and Core in addition to Process engineering.
His Residence time distribution study combines topics from a wide range of disciplines, such as Pharmaceutical manufacturing, Point and Granulation.
His studies deal with areas such as Cuboid, Computational fluid dynamics, Artificial intelligence and Scale as well as Discrete element method.
Johannes Khinast has included themes like Task, Optical coherence tomography and General-purpose computing on graphics processing units in his Coating study.
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