D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 59 Citations 11,821 358 World Ranking 1114 National Ranking 456
Chemistry D-index 45 Citations 7,817 251 World Ranking 12720 National Ranking 3441

Overview

What is he best known for?

The fields of study he is best known for:

  • Organic chemistry
  • Statistics
  • Artificial intelligence

Zoltan K. Nagy spends much of his time researching Crystallization, Optimal control, Control theory, Process engineering and Nucleation. Zoltan K. Nagy has included themes like Scientific method, Ultraviolet visible spectroscopy, Analytical chemistry, Metastability and Crystal in his Crystallization study. His work deals with themes such as Mathematical optimization and Model predictive control, which intersect with Control theory.

His Model predictive control research incorporates elements of Control system, Automatic control, Control engineering, Nonlinear system and Setpoint. His Process engineering research includes themes of Controllability, Process design and Operating point. His Nucleation research incorporates themes from In situ and Infrared spectroscopy.

His most cited work include:

  • Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations (549 citations)
  • First-principles and direct design approaches for the control of pharmaceutical crystallization (246 citations)
  • Nonlinear Model Predictive Control: From Theory to Application (241 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Crystallization, Nucleation, Process engineering, Control theory and Chemical engineering. His Crystallization research is multidisciplinary, relying on both Scientific method, Work, Crystallography, Crystal and Supersaturation. His studies deal with areas such as Analytical chemistry, Suspension and Dissolution as well as Nucleation.

He has researched Process engineering in several fields, including Plug flow, Pharmaceutical manufacturing, Active ingredient, Process analytical technology and Continuous crystallization. He works mostly in the field of Control theory, limiting it down to concerns involving Model predictive control and, occasionally, Mathematical optimization, Nonlinear model, Process control, Control engineering and Optimization problem. The Chemical engineering study combines topics in areas such as Polymer, Membrane and Solvent.

He most often published in these fields:

  • Crystallization (61.11%)
  • Nucleation (26.01%)
  • Process engineering (21.72%)

What were the highlights of his more recent work (between 2018-2021)?

  • Crystallization (61.11%)
  • Process engineering (21.72%)
  • Chemical engineering (21.46%)

In recent papers he was focusing on the following fields of study:

Zoltan K. Nagy mainly investigates Crystallization, Process engineering, Chemical engineering, Work and Pharmaceutical manufacturing. His Crystallization research includes elements of Scientific method, Phase, Supersaturation, SCALE-UP and Suspension. His work deals with themes such as Process design, Unit operation and Continuous crystallization, which intersect with Process engineering.

His work in the fields of Emulsion overlaps with other areas such as Experimental validation. His Work study deals with Volumetric flow rate intersecting with Mode, Feedback control, Plug flow and Control theory. His research investigates the connection between Nucleation and topics such as Robustness that intersect with problems in Process control and Model predictive control.

Between 2018 and 2021, his most popular works were:

  • A perspective on Quality-by-Control (QbC) in pharmaceutical continuous manufacturing (32 citations)
  • Data reconciliation in the Quality-by-Design (QbD) implementation of pharmaceutical continuous tablet manufacturing. (9 citations)
  • Development of Continuous Filtration in a Novel Continuous Filtration Carousel Integrated with Continuous Crystallization (8 citations)

In his most recent research, the most cited papers focused on:

  • Organic chemistry
  • Statistics
  • Artificial intelligence

Zoltan K. Nagy mostly deals with Crystallization, Process engineering, Chemical engineering, Scientific method and Filtration. His study in Crystallization is interdisciplinary in nature, drawing from both Selection, Mixing, Supersaturation and Nucleation. In Nucleation, Zoltan K. Nagy works on issues like Process analytical technology, which are connected to Model predictive control, Robustness and Process control.

His Process engineering research is multidisciplinary, incorporating elements of Mass transfer, Solvent, Volumetric flow rate, Model free and Continuous crystallization. His work on Tableting as part of general Chemical engineering study is frequently linked to Microcrystalline cellulose, therefore connecting diverse disciplines of science. Zoltan K. Nagy interconnects Work, Active ingredient and Particle size in the investigation of issues within Scientific method.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations

Moritz Diehl;H.Georg Bock;Johannes P. Schlöder;Rolf Findeisen.
Journal of Process Control (2002)

835 Citations

Applying Kolb's Experiential Learning Cycle for Laboratory Education

Mahmoud Abdulwahed;Zoltan K Nagy.
Journal of Engineering Education (2009)

448 Citations

Nonlinear Model Predictive Control: From Theory to Application

Frank Allgöwer;Rolf Findeisen;Zoltan K. Nagy.
Journal of The Chinese Institute of Chemical Engineers (2004)

408 Citations

First-principles and direct design approaches for the control of pharmaceutical crystallization

Mitsuko Fujiwara;Zoltan K. Nagy;Jie W. Chew;Richard D. Braatz.
Journal of Process Control (2005)

376 Citations

Robust nonlinear model predictive control of batch processes

Zoltan K. Nagy;Richard D. Braatz.
Aiche Journal (2003)

330 Citations

Assessment of Recent Process Analytical Technology (PAT) Trends: A Multiauthor Review

Levente L. Simon;Hajnalka Pataki;György Marosi;Fabian Meemken.
Organic Process Research & Development (2015)

324 Citations

Advances and new directions in crystallization control

Zoltan K. Nagy;Richard D. Braatz.
Annual Review of Chemical and Biomolecular Engineering (2012)

288 Citations

Recent advances in the monitoring, modelling and control of crystallization systems

Zoltan K. Nagy;Zoltan K. Nagy;Gilles Fevotte;Herman Kramer;Levente L. Simon.
Chemical Engineering Research & Design (2013)

276 Citations

Open-loop and closed-loop robust optimal control of batch processes using distributional and worst-case analysis

Zoltan K. Nagy;Zoltan K. Nagy;Richard D. Braatz.
Journal of Process Control (2004)

250 Citations

The impact of direct nucleation control on crystal size distribution in pharmaceutical crystallization processes

Mohd Rushdi Abu Bakar;Zoltan K. Nagy;Ali N. Saleemi;Chris D. Rielly.
Crystal Growth & Design (2009)

241 Citations

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