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 40 Citations 12,250 266 World Ranking 2548 National Ranking 4

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Programming language

His primary areas of study are Artificial intelligence, Engineering management, Cyber-physical system, Operations research and Management science. László Monostori has included themes like Computer-integrated manufacturing and Machining in his Artificial intelligence study. His Engineering management research integrates issues from Simulation and Collaboration.

His Operations research research incorporates themes from Control, Production manager, Industrial engineering and Simulation system. His Management science research is multidisciplinary, incorporating elements of Concept learning and Artifact. His Information and Communications Technology research includes elements of MTConnect, Underline and Data science.

His most cited work include:

  • Cyber-physical systems in manufacturing (656 citations)
  • Cyber-physical systems in manufacturing (656 citations)
  • Cyber-physical production systems: Roots, expectations and R&D challenges (595 citations)

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

László Monostori mostly deals with Manufacturing engineering, Artificial intelligence, Systems engineering, Computer-integrated manufacturing and Artificial neural network. His Manufacturing engineering study combines topics from a wide range of disciplines, such as Control and Software engineering. Within one scientific family, László Monostori focuses on topics pertaining to Scheduling under Artificial intelligence, and may sometimes address concerns connected to Job shop scheduling.

The various areas that László Monostori examines in his Systems engineering study include Production planning and Product. His biological study spans a wide range of topics, including Distributed manufacturing and Advanced manufacturing. László Monostori interconnects Control engineering, Expert system, Fuzzy control system and Process in the investigation of issues within Artificial neural network.

He most often published in these fields:

  • Manufacturing engineering (22.65%)
  • Artificial intelligence (21.76%)
  • Systems engineering (19.41%)

What were the highlights of his more recent work (between 2010-2021)?

  • Systems engineering (19.41%)
  • Production planning (12.35%)
  • Product (6.47%)

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

His primary areas of investigation include Systems engineering, Production planning, Product, Industrial engineering and Automotive industry. His Systems engineering research is multidisciplinary, incorporating perspectives in Agile software development, Capacity planning and Risk analysis. His study on Production planning also encompasses disciplines like

  • Scheduling which is related to area like Job shop scheduling, Lead time, Machine learning and Artificial intelligence,
  • Decision support system and related Rejection rate and Big data.

The Artificial intelligence study combines topics in areas such as Information and Communications Technology and The Internet. His study focuses on the intersection of The Internet and fields such as Management science with connections in the field of Process management. His research in Industrial engineering intersects with topics in Service, Engineering ethics and Industrial technology.

Between 2010 and 2021, his most popular works were:

  • Cyber-physical systems in manufacturing (656 citations)
  • Cyber-physical systems in manufacturing (656 citations)
  • Cyber-physical production systems: Roots, expectations and R&D challenges (595 citations)

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

  • Artificial intelligence
  • Machine learning
  • Programming language

László Monostori mainly focuses on Systems engineering, Production planning, Cyber-physical system, Artificial intelligence and Volume. His work on Autonomous logistics as part of general Systems engineering research is frequently linked to Enterprise modelling, thereby connecting diverse disciplines of science. His research in Production planning intersects with topics in Control engineering, Order, Simulation and Decomposition.

László Monostori integrates several fields in his works, including Cyber-physical system, The Internet, Information and Communications Technology and Engineering management. The concepts of his The Internet study are interwoven with issues in Data science, MTConnect and Underline. The study incorporates disciplines such as Lead time, Scheduling, Machine learning and Manufacturing execution system in addition to Artificial intelligence.

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

Cyber-physical production systems: Roots, expectations and R&D challenges

László Monostori;László Monostori.
Procedia CIRP (2014)

1026 Citations

Cyber-physical systems in manufacturing

L. Monostori;L. Monostori;B. Kádár;T. Bauernhansl;T. Bauernhansl;S. Kondoh.
Cirp Annals-manufacturing Technology (2016)

1023 Citations

Agent-based systems for manufacturing

László Monostori;László Monostori;József Váncza;József Váncza;Srt Kumara.
Cirp Annals-manufacturing Technology (2006)

787 Citations

Complexity in engineering design and manufacturing

Waguih ElMaraghy;Hoda ElMaraghy;Tetsuo Tomiyama;Laszlo Monostori.
Cirp Annals-manufacturing Technology (2012)

562 Citations

Value creation and decision-making in sustainable society

K. Ueda;K. Ueda;T. Takenaka;József Váncza;József Váncza;László Monostori;László Monostori.
CIRP Annals (2009)

269 Citations

Hierarchy in distributed shop floor control

Luc Bongaerts;László Monostori;Duncan McFarlane;Botond Kádár.
Computers in Industry (2000)

222 Citations

Machine Learning Approaches to Manufacturing

L. Monostori;A. Markus;H. Van Brussel;E. Westkämpfer.
CIRP Annals (1996)

205 Citations

Emergent synthesis methodologies for manufacturing

K. Ueda;A. Márkus;László Monostori;Hjj Kals.
CIRP Annals (2001)

201 Citations

Survey paper: A survey of applications and requirements of unique identification systems and RFID techniques

Elisabeth Ilie-Zudor;Zsolt Kemény;Fred van Blommestein;László Monostori.
Computers in Industry (2011)

200 Citations

A Market Approach to Holonic Manufacturing

A. Márkus;T. Kis Váncza;L. Monostori.
CIRP Annals (1996)

174 Citations

Best Scientists Citing László Monostori

József Váncza

József Váncza

Budapest University of Technology and Economics

Publications: 51

Lihui Wang

Lihui Wang

Royal Institute of Technology

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Dimitris Mourtzis

Dimitris Mourtzis

University of Patras

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Paulo Leitão

Paulo Leitão

Polytechnic Institute of Bragança

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Damien Trentesaux

Damien Trentesaux

Centre national de la recherche scientifique, CNRS

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Hoda A. ElMaraghy

Hoda A. ElMaraghy

University of Windsor

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Xiangyu Wang

Xiangyu Wang

Curtin University

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Paul Valckenaers

Paul Valckenaers

KU Leuven

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George Chryssolouris

George Chryssolouris

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Christoph Herrmann

Christoph Herrmann

Technische Universität Braunschweig

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Shimon Y. Nof

Shimon Y. Nof

Purdue University West Lafayette

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Berend Denkena

Berend Denkena

University of Hannover

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Duncan McFarlane

Duncan McFarlane

University of Cambridge

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Duc Truong Pham

Duc Truong Pham

University of Birmingham

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Xun Xu

Xun Xu

University of Auckland

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George Q. Huang

George Q. Huang

University of Hong Kong

Publications: 12

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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