World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
60
Citations
13266
World Ranking
552
National Ranking
246

Engineering and Technology

D-Index
64
Citations
14745
World Ranking
1653
National Ranking
539

Miroslaw J. Skibniewski publication distribution in Business and Management in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Business and Management in 2026. The highlighted bar marks where Miroslaw J. Skibniewski sits on this spectrum.

35–39 publications: 2 scientists 40–44 publications: 2 scientists 45–49 publications: 5 scientists 50–54 publications: 20 scientists 55–59 publications: 39 scientists 60–64 publications: 66 scientists 65–69 publications: 52 scientists 70–74 publications: 80 scientists 75–79 publications: 83 scientists 80–84 publications: 116 scientists 85–89 publications: 94 scientists 90–94 publications: 111 scientists 95–99 publications: 122 scientists 100–104 publications: 104 scientists 105–109 publications: 113 scientists 110–114 publications: 96 scientists 115–119 publications: 97 scientists 120–124 publications: 112 scientists 125–129 publications: 93 scientists 130–134 publications: 79 scientists 135–139 publications: 69 scientists 140–144 publications: 80 scientists 145–149 publications: 81 scientists 150–154 publications: 85 scientists 155–159 publications: 50 scientists 160–164 publications: 74 scientists 165–169 publications: 61 scientists 170–174 publications: 40 scientists 175–179 publications: 44 scientists 180–184 publications: 47 scientists 185–189 publications: 59 scientists 190–194 publications: 35 scientists 195–199 publications: 37 scientists 200–204 publications: 49 scientists 205–209 publications: 48 scientists 210–214 publications: 34 scientists 215–219 publications: 31 scientists 220–224 publications: 37 scientists 225–229 publications: 34 scientists 230–234 publications: 25 scientists 235–239 publications: 28 scientists 240–244 publications: 34 scientists 245–249 publications: 28 scientists 250–254 publications: 23 scientists 255–259 publications: 22 scientists 260–264 publications: 11 scientists 265–269 publications: 16 scientists 270–274 publications: 23 scientists 275–279 publications: 12 scientists 280–284 publications: 16 scientists 285–289 publications: 10 scientists 290–294 publications: 12 scientists 295–299 publications: 12 scientists 300–304 publications: 8 scientists 305–309 publications: 13 scientists 310–314 publications: 13 scientists 315–319 publications: 6 scientists 320–324 publications: 10 scientists 325–329 publications: 9 scientists 330–334 publications: 7 scientists 335–339 publications: 10 scientists 340–344 publications: 10 scientists 345–349 publications: 7 scientists 350–354 publications: 4 scientists 355–359 publications: 10 scientists 360–364 publications: 3 scientists 365–369 publications: 7 scientists 370–374 publications: 2 scientists 375–379 publications: 8 scientists 380–384 publications: 4 scientists 385–389 publications: 5 scientists 390–394 publications: 5 scientists 395–399 publications: 2 scientists 400–404 publications: 2 scientists 405–409 publications: 4 scientists 410–414 publications: 3 scientists 415–419 publications: 2 scientists 420–424 publications: 5 scientists 425–429 publications: 3 scientists 430–434 publications: 1 scientists 435 publications: 1 scientists 436+ publications: 100 scientists
35 publications 436+

This scientist: 319 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 436 publications or more.

Miroslaw J. Skibniewski D-index placement in Business and Management in 2026

The chart shows the D-index (discipline H-index) distribution of Business and Management scientists ranked by Research.com in 2026. The highlighted bar marks where Miroslaw J. Skibniewski sits on this spectrum.

30 D-Index: 156 scientists 31 D-Index: 159 scientists 32 D-Index: 171 scientists 33 D-Index: 161 scientists 34 D-Index: 135 scientists 35 D-Index: 124 scientists 36 D-Index: 114 scientists 37 D-Index: 111 scientists 38 D-Index: 103 scientists 39 D-Index: 89 scientists 40 D-Index: 81 scientists 41 D-Index: 97 scientists 42 D-Index: 80 scientists 43 D-Index: 69 scientists 44 D-Index: 68 scientists 45 D-Index: 63 scientists 46 D-Index: 54 scientists 47 D-Index: 69 scientists 48 D-Index: 50 scientists 49 D-Index: 58 scientists 50 D-Index: 54 scientists 51 D-Index: 62 scientists 52 D-Index: 54 scientists 53 D-Index: 43 scientists 54 D-Index: 49 scientists 55 D-Index: 35 scientists 56 D-Index: 40 scientists 57 D-Index: 44 scientists 58 D-Index: 34 scientists 59 D-Index: 29 scientists 60 D-Index: 48 scientists 61 D-Index: 32 scientists 62 D-Index: 30 scientists 63 D-Index: 22 scientists 64 D-Index: 22 scientists 65 D-Index: 19 scientists 66 D-Index: 20 scientists 67 D-Index: 18 scientists 68 D-Index: 17 scientists 69 D-Index: 21 scientists 70 D-Index: 20 scientists 71 D-Index: 19 scientists 72 D-Index: 14 scientists 73 D-Index: 10 scientists 74 D-Index: 16 scientists 75 D-Index: 24 scientists 76 D-Index: 13 scientists 77 D-Index: 19 scientists 78 D-Index: 8 scientists 79 D-Index: 6 scientists 80 D-Index: 4 scientists 81 D-Index: 12 scientists 82 D-Index: 7 scientists 83 D-Index: 7 scientists 84 D-Index: 6 scientists 85 D-Index: 10 scientists 86 D-Index: 4 scientists 87 D-Index: 11 scientists 88 D-Index: 6 scientists 89+ D-Index: 96 scientists
30 D-Index 89+

This scientist: 60 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 89 D-Index or more.

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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