H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 69 Citations 13,948 430 World Ranking 316 National Ranking 5

Research.com Recognitions

Awards & Achievements

2020 - Member of the National Academy of Engineering For contributions to process systems engineering and large-scale computations, and for national leadership in science/technology policy and management.

2013 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Engineering Sciences

2007 - Fellow of the International Federation of Automatic Control (IFAC)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Programming language

His primary areas of investigation include Mathematical optimization, Process engineering, Optimization problem, Control theory and Distillation. His studies deal with areas such as Nonlinear programming and Robustness as well as Mathematical optimization. His studies in Process engineering integrate themes in fields like Scientific method, Extractive distillation, Biofuel and Conceptual design.

He combines subjects such as Robust optimization, Stochastic programming, Adaptive control, Nonlinear system and Wavelet with his study of Optimization problem. His Control theory research includes themes of Control, Type and Parametric statistics. His Distillation research integrates issues from Control engineering, Process design and Thermodynamics.

His most cited work include:

  • Selective and flexible transformation of biomass-derived platform chemicals by a multifunctional catalytic system (460 citations)
  • Introduction to Model Based Optimization of Chemical Processes on Moving Horizons (183 citations)
  • Dynamic optimization using adaptive control vector parameterization (174 citations)

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

Wolfgang Marquardt mostly deals with Mathematical optimization, Control theory, Process, Nonlinear system and Process engineering. His study in Mathematical optimization is interdisciplinary in nature, drawing from both Discretization, Nonlinear programming and Applied mathematics. His Control theory research is multidisciplinary, incorporating perspectives in Parametric statistics and Model predictive control.

His biological study spans a wide range of topics, including Control engineering and Systems engineering. His research in Systems engineering intersects with topics in Design process and Chemical process. His Process engineering research incorporates themes from Distillation, Biofuel, Conceptual design and Scientific method.

He most often published in these fields:

  • Mathematical optimization (22.91%)
  • Control theory (14.08%)
  • Process (12.44%)

What were the highlights of his more recent work (between 2011-2020)?

  • Process engineering (10.80%)
  • Mathematical optimization (22.91%)
  • Biofuel (4.91%)

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

His primary scientific interests are in Process engineering, Mathematical optimization, Biofuel, Process design and Biochemical engineering. His Process engineering study combines topics from a wide range of disciplines, such as Scientific method, Distillation and Conceptual design. His study focuses on the intersection of Conceptual design and fields such as Systems engineering with connections in the field of Chemical process.

His work in Mathematical optimization addresses subjects such as Control theory, which are connected to disciplines such as Parametric statistics. Process design is a primary field of his research addressed under Process. His work in Biochemical engineering addresses issues such as Combustion, which are connected to fields such as Biomass.

Between 2011 and 2020, his most popular works were:

  • OntoCAPE: A Re-Usable Ontology for Chemical Process Engineering (141 citations)
  • Reaction network flux analysis: Optimization‐based evaluation of reaction pathways for biorenewables processing (75 citations)
  • Fractionation of lignocellulosic biomass using the OrganoCat process (72 citations)

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

  • Statistics
  • Artificial intelligence
  • Programming language

Wolfgang Marquardt spends much of his time researching Mathematical optimization, Process engineering, Optimization problem, Biofuel and Distillation. His Mathematical optimization research incorporates elements of Control variable, Control theory, Exponential stability, Set and Function. The concepts of his Control theory study are interwoven with issues in Robust optimization and Parametric statistics.

The study incorporates disciplines such as Pinch, Conceptual design, Simulation and Pinch point in addition to Process engineering. His research integrates issues of Stochastic optimization and Polymerization in his study of Optimization problem. His Distillation study integrates concerns from other disciplines, such as Control engineering and Constant.

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

Selective and flexible transformation of biomass-derived platform chemicals by a multifunctional catalytic system

Frank M. A. Geilen;Barthel Engendahl;Andreas Harwardt;Wolfgang Marquardt.
Angewandte Chemie (2010)

637 Citations

Introduction to Model Based Optimization of Chemical Processes on Moving Horizons

Thomas Binder;Luise Blank;H. Georg Bock;Roland Bulirsch.
(2001)

273 Citations

Separation of butanol from acetone–butanol–ethanol fermentation by a hybrid extraction–distillation process

Korbinian Kraemer;Andreas Harwardt;Rob Bronneberg;Wolfgang Marquardt.
Computers & Chemical Engineering (2011)

255 Citations

Trends in computer-aided process modeling

W. Marquardt.
Computers & Chemical Engineering (1996)

244 Citations

An ontology-based approach to knowledge management in design processes

Sebastian C. Brandt;Jan Morbach;Michalis Miatidis;Manfred Theißen.
Computers & Chemical Engineering (2008)

241 Citations

Perspectives for process systems engineering—Personal views from academia and industry

Karsten-Ulrich Klatt;Wolfgang Marquardt.
Computers & Chemical Engineering (2009)

240 Citations

Dynamic optimization using adaptive control vector parameterization

Martin Schlegel;Klaus Stockmann;Thomas Binder;Wolfgang Marquardt.
Computers & Chemical Engineering (2005)

240 Citations

A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark

I. Alvarado;D. Limon;D. Muñoz de la Peña;J.M. Maestre.
Journal of Process Control (2011)

200 Citations

Shortcut methods for nonideal multicomponent distillation: 2. Complex columns

J. Bausa;R. v. Watzdorf;W. Marquardt.
Aiche Journal (1998)

184 Citations

OntoCAPE: A Re-Usable Ontology for Chemical Process Engineering

Wolfgang Marquardt;Jan Morbach;Andreas Wiesner;Aidong Yang.
(2012)

176 Citations

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