D-Index & Metrics Best Publications

D-Index & Metrics

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 131 Citations 59,582 693 World Ranking 5 National Ranking 4

Research.com Recognitions

Awards & Achievements

2000 - Member of the National Academy of Engineering For leadership in mixed integer nonlinear programming (MINLP) model formulation and solution for process design and operation.

Overview

What is he best known for?

The fields of study he is best known for:

  • Mathematical optimization
  • Artificial intelligence
  • Mechanical engineering

Ignacio E. Grossmann mainly investigates Mathematical optimization, Nonlinear programming, Integer programming, Nonlinear system and Scheduling. His Mathematical optimization study incorporates themes from Algorithm and Work in process. The study incorporates disciplines such as Representation, Heat exchanger, Relaxation, Process engineering and Process in addition to Nonlinear programming.

As part of the same scientific family, Ignacio E. Grossmann usually focuses on Integer programming, concentrating on Linear programming and intersecting with Selection. His study looks at the relationship between Nonlinear system and topics such as Integer, which overlap with Algebraic number. His Scheduling research includes themes of Job scheduler, Net present value and Time horizon.

His most cited work include:

  • An outer-approximation algorithm for a class of mixed-integer nonlinear programs (1034 citations)
  • Systematic Methods of Chemical Process Design (755 citations)
  • Simultaneous optimization models for heat integration—II. Heat exchanger network synthesis (727 citations)

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

Ignacio E. Grossmann focuses on Mathematical optimization, Nonlinear programming, Scheduling, Linear programming and Integer programming. His research in Mathematical optimization intersects with topics in Algorithm, Decomposition and Nonlinear system. Nonlinear programming is closely attributed to Branch and bound in his research.

His Scheduling research is multidisciplinary, incorporating perspectives in Electricity and Job shop scheduling.

He most often published in these fields:

  • Mathematical optimization (59.82%)
  • Nonlinear programming (17.59%)
  • Scheduling (15.02%)

What were the highlights of his more recent work (between 2017-2021)?

  • Mathematical optimization (59.82%)
  • Linear programming (13.48%)
  • Scheduling (15.02%)

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

His primary areas of study are Mathematical optimization, Linear programming, Scheduling, Process engineering and Nonlinear programming. In Mathematical optimization, Ignacio E. Grossmann works on issues like Nonlinear system, which are connected to Integer and Global optimization. His Linear programming study also includes

  • Electric power that connect with fields like Integer programming,
  • Supply chain together with Operations research and Reinforcement learning.

His research on Scheduling also deals with topics like

  • Development most often made with reference to Shale gas,
  • Industrial engineering and Stochastic programming most often made with reference to Electricity. His studies deal with areas such as Distillation, Heat exchanger, Work and Biomass as well as Process engineering. His Nonlinear programming study combines topics from a wide range of disciplines, such as Upper and lower bounds, Process and Applied mathematics.

Between 2017 and 2021, his most popular works were:

  • A review and comparison of solvers for convex MINLP (68 citations)
  • Expanding scope and computational challenges in process scheduling (42 citations)
  • Deterministic electric power infrastructure planning: Mixed-integer programming model and nested decomposition algorithm (32 citations)

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

  • Mathematical optimization
  • Artificial intelligence
  • Programming language

His scientific interests lie mostly in Mathematical optimization, Linear programming, Nonlinear programming, Work in process and Nonlinear system. His research in Mathematical optimization is mostly concerned with Solver. Ignacio E. Grossmann combines subjects such as Scheduling, Scheduling system, Customer service and Electric power with his study of Linear programming.

The concepts of his Nonlinear programming study are interwoven with issues in Finite set, Numerical analysis, Applied mathematics and Sequential quadratic programming. His Work in process study integrates concerns from other disciplines, such as Process, Process synthesis and Process management. His Nonlinear system study combines topics in areas such as Quadratic equation, Quadratic programming, Quadratically constrained quadratic program, Quadratic growth and Selection.

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

Systematic methods for chemical process design

L.T. Biegler;I.E. Grossmann;A.W. Westerberg.
(1997)

1823 Citations

An outer-approximation algorithm for a class of mixed-integer nonlinear programs

Marco A. Duran;Ignacio E. Grossmann.
Mathematical Programming (1986)

1654 Citations

Systematic Methods of Chemical Process Design

Lorenz T. Biegler;Ignacio E. Grossmann;Arthur W. Westerberg.
(1997)

1163 Citations

Simultaneous optimization models for heat integration—II. Heat exchanger network synthesis

Terrence Fu Yee;Ignacio E. Grossmann.
Computers & Chemical Engineering (1990)

1105 Citations

An algorithmic framework for convex mixed integer nonlinear programs

Pierre Bonami;Lorenz T. Biegler;Andrew R. Conn;GéRard CornuéJols.
Discrete Optimization (2008)

904 Citations

State-of-the-art review of optimization methods for short-term scheduling of batch processes

Carlos Alberto Mendez;Jaime Cerda;Ignacio E. Grossmann;Iiro Harjunkoski.
Computers & Chemical Engineering (2006)

892 Citations

A combined penalty function and outer-approximation method for MINLP optimization

J. Viswanathan;I.E. Grossmann.
Computers & Chemical Engineering (1990)

809 Citations

A structural optimization approach in process synthesis. II: Heat recovery networks

Soterios A. Papoulias;Ignacio E. Grossmann.
Computers & Chemical Engineering (1983)

775 Citations

Computers and Chemical Engineering

Mariano Martín;Ignacio E. Grossmann;Zdravko Kravanja.
(2014)

771 Citations

Retrospective on optimization

Lorenz T. Biegler;Ignacio E. Grossmann.
Computers & Chemical Engineering (2004)

711 Citations

Best Scientists Citing Ignacio E. Grossmann

Mahmoud M. El-Halwagi

Mahmoud M. El-Halwagi

Texas A&M University

Publications: 182

Efstratios N. Pistikopoulos

Efstratios N. Pistikopoulos

Texas A&M University

Publications: 168

Fengqi You

Fengqi You

Cornell University

Publications: 167

Christodoulos A. Floudas

Christodoulos A. Floudas

Texas A&M University

Publications: 148

José María Ponce-Ortega

José María Ponce-Ortega

Universidad Michoacana de San Nicolás de Hidalgo

Publications: 116

Zdravko Kravanja

Zdravko Kravanja

University of Maribor

Publications: 115

Marianthi G. Ierapetritou

Marianthi G. Ierapetritou

University of Delaware

Publications: 111

Lorenz T. Biegler

Lorenz T. Biegler

Carnegie Mellon University

Publications: 110

Christos T. Maravelias

Christos T. Maravelias

Princeton University

Publications: 108

Gonzalo Guillén-Gosálbez

Gonzalo Guillén-Gosálbez

ETH Zurich

Publications: 106

François Maréchal

François Maréchal

École Polytechnique Fédérale de Lausanne

Publications: 90

Lazaros G. Papageorgiou

Lazaros G. Papageorgiou

University College London

Publications: 88

Ana Paula Barbosa-Póvoa

Ana Paula Barbosa-Póvoa

University of Lisbon

Publications: 87

Alexander Mitsos

Alexander Mitsos

RWTH Aachen University

Publications: 85

Rafiqul Gani

Rafiqul Gani

Korea Advanced Institute of Science and Technology

Publications: 82

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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