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 57 Citations 11,287 268 World Ranking 803 National Ranking 43
Business and Management D-index 63 Citations 12,737 330 World Ranking 164 National Ranking 11

Overview

What is he best known for?

The fields of study he is best known for:

  • Law
  • Statistics
  • Management

His main research concerns Process, Operations research, Procurement, Project management and Questionnaire. His Process research incorporates themes from Management science, Artificial neural network, Risk analysis, Fuzzy logic and Stakeholder analysis. His work carried out in the field of Operations research brings together such families of science as Quality, Regression analysis, Selection and Recession.

His Procurement study results in a more complete grasp of Marketing. His Project management study frequently draws connections to adjacent fields such as Construction management. His research in Questionnaire intersects with topics in Right to know, Stakeholder, Public relations, Judgement and Call for bids.

His most cited work include:

  • Project risk management in the Queensland engineering construction industry: a survey (234 citations)
  • Criteria for contractor selection (233 citations)
  • Selecting a suitable procurement method for a building project (225 citations)

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

Martin Skitmore mainly investigates Procurement, Operations management, Knowledge management, Bidding and Process. His Procurement research is multidisciplinary, relying on both Government and Operations research. Many of his studies on Government apply to China as well.

The study incorporates disciplines such as Cost estimate, Project management and Construction management in addition to Operations management. In most of his Construction management studies, his work intersects topics such as Engineering management. His Bidding research includes elements of Construction contract, Common value auction and Econometrics.

He most often published in these fields:

  • Procurement (13.40%)
  • Operations management (12.95%)
  • Knowledge management (11.75%)

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

  • China (10.24%)
  • Process management (10.54%)
  • Sustainability (9.19%)

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

Martin Skitmore mostly deals with China, Process management, Sustainability, Environmental economics and Sustainable development. His studies in China integrate themes in fields like Government, Stakeholder, Public participation and Quality. His study in Government is interdisciplinary in nature, drawing from both Process and Identification.

The Process management study combines topics in areas such as Performance management, Questionnaire, Project management, Schedule and Exploratory factor analysis. Martin Skitmore combines subjects such as Procurement, Reuse, Knowledge management and Environmental planning with his study of Sustainability. His Procurement research incorporates elements of Body of knowledge and Critical success factor.

Between 2017 and 2021, his most popular works were:

  • Quantifying stakeholder influence in decision/evaluations relating to sustainable construction in China – A Delphi approach (52 citations)
  • Analyzing collaborative relationships among industrialized construction technology innovation organizations: A combined SNA and SEM approach (42 citations)
  • Stakeholder impact analysis during post-occupancy evaluation of green buildings – A Chinese context (31 citations)

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

  • Law
  • Statistics
  • Management

The scientist’s investigation covers issues in Process management, China, Environmental economics, Environmental pollution and Risk analysis. His research integrates issues of Performance management, Schedule, Citizen journalism, Causal loop diagram and Stakeholder analysis in his study of Process management. As a part of the same scientific family, Martin Skitmore mostly works in the field of China, focusing on Government and, on occasion, General partnership, Incineration, Identification, Municipal solid waste and Waste-to-energy.

The various areas that Martin Skitmore examines in his Risk analysis study include Risk assessment, Bayesian network, Fuzzy logic and Cost overrun. As part of the same scientific family, he usually focuses on Construction management, concentrating on Risk perception and intersecting with Marketing and Process. His Process research is multidisciplinary, incorporating perspectives in Urbanization and Questionnaire.

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

Criteria for contractor selection

Zedan Hatush;Martin Skitmore.
Construction Management and Economics (1997)

458 Citations

Project risk management in the Queensland engineering construction industry: a survey

Terry Lyons;Martin Skitmore.
International Journal of Project Management (2004)

458 Citations

Selecting a suitable procurement method for a building project

Peter E.D. Love;Martin Skitmore;George Earl.
Construction Management and Economics (1998)

405 Citations

Contractor selection using multicriteria utility theory: An additive model

Zedan Hatush;Martin Skitmore.
Building and Environment (1998)

404 Citations

Causes of delays in Saudi Arabian public sector construction projects

Adel Al‐Kharashi;Martin Skitmore.
Construction Management and Economics (2009)

363 Citations

Evaluating contractor prequalification data: selection criteria and project success factors

Zedan Hatush;Martin Skitmore.
Construction Management and Economics (1997)

329 Citations

A critical review of structural equation modeling applications in construction research

Bo Xiong;Martin Skitmore;Bo Xia.
Automation in Construction (2015)

248 Citations

Which procurement system? Towards a universal procurement selection technique

Martin Skitmore;David Marsden.
Construction Management and Economics (1988)

240 Citations

A framework for evaluating the safety performance of construction contractors

S. Thomas Ng;Kam Pong Cheng;R. Martin Skitmore.
Building and Environment (2005)

234 Citations

Professional ethics in the construction industry

Charles Vee;Martin Skitmore.
Engineering, Construction and Architectural Management (2003)

214 Citations

Best Scientists Citing Martin Skitmore

Albert P.C. Chan

Albert P.C. Chan

Hong Kong Polytechnic University

Publications: 107

Heng Li

Heng Li

Hong Kong Polytechnic University

Publications: 68

Peter E.D. Love

Peter E.D. Love

Curtin University

Publications: 56

Geoffrey Qiping Shen

Geoffrey Qiping Shen

Hong Kong Polytechnic University

Publications: 55

Liyin Shen

Liyin Shen

Chongqing University

Publications: 50

Jian Zuo

Jian Zuo

University of Adelaide

Publications: 46

Mohan M. Kumaraswamy

Mohan M. Kumaraswamy

University of Hong Kong

Publications: 36

Xiaoling Zhang

Xiaoling Zhang

Chengdu University of Information Technology

Publications: 36

S. Thomas Ng

S. Thomas Ng

City University of Hong Kong

Publications: 35

Xiangyu Wang

Xiangyu Wang

Curtin University

Publications: 33

David J. Edwards

David J. Edwards

Birmingham City University

Publications: 33

Weisheng Lu

Weisheng Lu

University of Hong Kong

Publications: 27

Vivian W.Y. Tam

Vivian W.Y. Tam

Western Sydney University

Publications: 27

Miroslaw J. Skibniewski

Miroslaw J. Skibniewski

University of Maryland, College Park

Publications: 27

Mei-yung Leung

Mei-yung Leung

City University of Hong Kong

Publications: 26

Gary David Holt

Gary David Holt

University of Central Lancashire

Publications: 25

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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