World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
60
Citations
13266
World Ranking
552
National Ranking
245

Engineering and Technology

D-Index
64
Citations
14745
World Ranking
1651
National Ranking
538

Overview

Miroslaw J. Skibniewski is affiliated with the University of Maryland, College Park in the United States. Their research spans the fields of Engineering and Decision Sciences, with a primary focus on Building and Construction, Civil and Structural Engineering, and Management Science and Operations Research. Their work also covers Strategy and Management as well as Industrial and Manufacturing Engineering.

The scientist's main topics of research include:

  • BIM and Construction Integration
  • Construction Project Management and Performance
  • Innovations in Concrete and Construction Materials
  • Tunneling and Rock Mechanics
  • Infrastructure Maintenance and Monitoring
  • Occupational Health and Safety Research
  • Risk and Safety Analysis

Skibniewski has collaborated frequently with several co-authors, including Limao Zhang, Yue Pan, Zhen-Song Chen, Xianguo Wu, and Xuhui Cong.

Their recent published papers include:

  • Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China, 2020, Information Fusion
  • Shield attitude prediction based on Bayesian-LGBM machine learning, 2023, Information Sciences
  • Factors Affecting 3D Printing Technology Adaptation in Construction, 2021, Journal of Construction Engineering and Management
  • Large-scale group decision-making for prioritizing engineering characteristics in quality function deployment under comparative linguistic environment, 2022, Applied Soft Computing
  • Construction Automation and Robotics for High-Rise Buildings: Development Priorities and Key Challenges, 2020, Journal of Construction Engineering and Management

Frequently publishing in academic journals such as Information Sciences, Journal of Civil Engineering and Management, Information Fusion, Journal of Construction Engineering and Management, and Engineering Construction & Architectural Management, Skibniewski has contributed multiple papers to each venue.

In addition to articles, Skibniewski has authored books published by Springer Nature, including Artificial Intelligence in Construction Engineering and Management (2021) and the forthcoming Intelligent Construction in Tunnels (2025).

Best Publications

  • Determination of Key Performance Indicators with Enterprise Resource Planning Systems in Engineering Construction Firms

    Mirosław J. Skibniewski;Saumyendu Ghosh

  • Selection of performance objectives and key performance indicators in public–private partnership projects to achieve value for money

    Jingfeng Yuan;Alex Yajun Zeng;Miroslaw J. Skibniewski;Qiming Li

  • Evaluation of Advanced Construction Technology with AHP Method

    Miroslaw J. Skibniewski;Li‐Chung Chao

  • DECISION CRITERIA IN CONTRACTOR PREQUALIFICATION

    Jeffrey S. Russell;Miroslaw J. Skibniewski

  • Bayesian-network-based safety risk analysis in construction projects

    Limao Zhang;Limao Zhang;Xianguo Wu;Miroslaw J. Skibniewski;Miroslaw J. Skibniewski;Jingbing Zhong

  • Wireless sensor networks as part of a web-based building environmental monitoring system

    Won Suk Jang;William M. Healy;Miroslaw J. Skibniewski

  • A literature review of the factors limiting the application of BIM in the construction industry

    Chengshuang Sun;Shaohua Jiang;Miroslaw J. Skibniewski;Qingpeng Man

  • Web-based construction project management systems: how to make them successful?

    Unknown

  • Success/Failure Factors and Performance Measures of Web-Based Construction Project Management Systems: Professionals’ Viewpoint

    Pollaphat Nitithamyong;Mirosław J. Skibniewski

  • Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China

    Zhen-Song Chen;Zhen-Song Chen;Xiao-Lu Liu;Kwai-Sang Chin;Witold Pedrycz

  • A dynamic Bayesian network based approach to safety decision support in tunnel construction

    Xianguo Wu;Huitao Liu;Limao Zhang;Limao Zhang;Miroslaw J. Skibniewski;Miroslaw J. Skibniewski

  • Developing Key Performance Indicators for Public-Private Partnership Projects: Questionnaire Survey and Analysis

    Jingfeng Yuan;Chao Wang;Mirosław J. Skibniewski;Qiming Li

  • Multi-classifier information fusion in risk analysis

    Yue Pan;Limao Zhang;Xianguo Wu;Miroslaw J Skibniewski

  • Towards a Fuzzy Bayesian Network Based Approach for Safety Risk Analysis of Tunnel‐Induced Pipeline Damage

    Limao Zhang;Xianguo Wu;Yawei Qin;Miroslaw J. Skibniewski;Miroslaw J. Skibniewski

  • Prospective safety performance evaluation on construction sites.

    Xianguo Wu;Qian Liu;Limao Zhang;Limao Zhang;Miroslaw J. Skibniewski;Miroslaw J. Skibniewski

  • Estimating construction productivity: neural-network-based approach

    Li‐Chung Chao;Miroslaw J. Skibniewski

  • Expertise-Structure and Risk-Appetite-Integrated Two-Tiered Collective Opinion Generation Framework for Large-Scale Group Decision Making

    Unknown

  • Analyzing Enterprise Resource Planning System Implementation Success Factors in the Engineering–Construction Industry

    Boo Young Chung;Mirioslaw J Skibniewski;Henry C Lucas Jr;Young Hoon Kwak

  • Dynamic Model of Excavator

    P. K. Vähä;M. J. Skibniewski

  • Information and Communication Technology Applications in Architecture, Engineering, and Construction Organizations: A 15-Year Review

    Yujie Lu;Yongkui Li;Miroslaw Skibniewski;Zhilei Wu

  • Contractor prequalification data for construction owners

    Jeffrey S. Russell;Donn E. Hancher;Miroslaw J. Skibniewski

  • Developing ERP Systems Success Model for the Construction Industry

    BooYoung Chung;BooYoung Chung;BooYoung Chung;Mirosław J. Skibniewski;Mirosław J. Skibniewski;Mirosław J. Skibniewski;Young Hoon Kwak;Young Hoon Kwak;Young Hoon Kwak

  • Construction automation and robotics for high-rise buildings over the past decades: A comprehensive review

    Shiyao Cai;Zhiliang Ma;Miroslaw J. Skibniewski;Miroslaw J. Skibniewski;Miroslaw J. Skibniewski;Song Bao

Frequent Co-Authors

Limao Zhang
Limao Zhang Huazhong University of Science and Technology
Jeffrey S. Russell
Jeffrey S. Russell University of Wisconsin–Madison
Lieyun Ding
Lieyun Ding Huazhong University of Science and Technology
Albert P.C. Chan
Albert P.C. Chan Hong Kong Polytechnic University
Young Hoon Kwak
Young Hoon Kwak George Washington University
Wei Xiong
Wei Xiong University of Pittsburgh
Heng Li
Heng Li Hong Kong Polytechnic University
Chris Hendrickson
Chris Hendrickson Carnegie Mellon University
Omer Tatari
Omer Tatari University of Central Florida
Zhen-Song Chen
Zhen-Song Chen Wuhan University

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