World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
66
Citations
18209
World Ranking
384
National Ranking
178

Engineering and Technology

D-Index
64
Citations
16979
World Ranking
1626
National Ranking
533

Tugrul U. Daim 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 Tugrul U. Daim 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: 713 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Tugrul U. Daim 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 Tugrul U. Daim 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: 66 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

Tugrul U. Daim is affiliated with Portland State University in the United States. Their research spans multiple fields, predominantly Business, Management and Accounting, and Engineering. Within these fields, their work frequently addresses subfields such as Strategy and Management, Management of Technology and Innovation, Management Science and Operations Research, Economics and Econometrics, and Information Systems.

The scientist's research output includes a significant focus on topics related to Innovation and Knowledge Management, Intellectual Property and Patents, Technology Adoption and User Behaviour, Technology Assessment and Management, Innovation Diffusion and Forecasting, Blockchain Technology Applications and Security, and Innovation Policy and R&D.

A selection of recent papers exemplifies the thematic spectrum of their work:

  • Supply chain resilience during the COVID-19 pandemic, 2022, Technology in Society
  • Integrated blockchain and internet of things in the food supply chain: Adoption barriers, 2022, Technovation
  • Moving Towards Industry 5.0 in the Pharmaceutical Manufacturing Sector: Challenges and Solutions for Germany, 2022, IEEE Transactions on Engineering Management
  • Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain, 2021, Technological Forecasting and Social Change
  • Forecasting technological positioning through technology knowledge redundancy: Patent citation analysis of IoT, cybersecurity, and Blockchain, 2020, Technological Forecasting and Social Change

The scientist frequently collaborates with the following co-authors:

  • Haydar Yalçın
  • Marina Dabić
  • Mahak Sharma
  • Amir Shaygan
  • Dirk Meissner

Publication venues where their work appears regularly include:

  • Technology in Society (35 publications)
  • IEEE Transactions on Engineering Management (24 publications)
  • Technological Forecasting and Social Change (19 publications)
  • Technovation (6 publications)
  • Journal of Knowledge Management (6 publications)

In addition to journal articles, the scientist has contributed to books published by major academic publishers. These include two books with Springer International Publishing - Roadmapping Future (2021) and Cybersecurity (2023) - and one book with Edward Elgar Publishing titled Digital Transformations (2022).

Best Publications

  • Forecasting emerging technologies: Use of bibliometrics and patent analysis

    Tugrul U. Daim;Guillermo Rueda;Hilary Martin;Pisek Gerdsri

  • A review of scenario planning

    Muhammad Amer;Tugrul U. Daim;Antonie Jetter

  • Using artificial neural network models in stock market index prediction

    Erkam Guresen;Gulgun Kayakutlu;Tugrul U. Daim

  • Measuring the efficiency of university technology transfer

    Timothy R. Anderson;Tugrul U. Daim;Francois F. Lavoie

  • Exploring the communication breakdown in global virtual teams

    Tugrul U. Daim;Anita Ha;Shawn Reutiman;Brennan Hughes

  • Selection of Renewable Energy Technologies for a Developing County: A Case of Pakistan

    Muhammad Amer;Tugrul U. Daim

  • USER-CENTRIC INNOVATIONS IN NEW PRODUCT DEVELOPMENT — SYSTEMATIC IDENTIFICATION OF LEAD USERS HARNESSING INTERACTIVE AND COLLABORATIVE ONLINE-TOOLS

    Volker Bilgram;Alexander Brem;Kai-Ingo Voigt

  • Supply chain resilience during the COVID-19 pandemic

    Unknown

  • A taxonomic review of methods and tools applied in technology assessment

    Thien A. Tran;Tugrul Daim

  • Organizational Adoption of Enterprise Resource Planning Systems: A Conceptual Framework

    Nuri Basoglu;Tugrul Daim;Onur Kerimoglu

  • Application of technology roadmaps for renewable energy sector

    Muhammad Amer;Tugrul U. Daim

  • Implementing technology roadmap process in the energy services sector: A case study of a government agency

    Tugrul U. Daim;Terry Oliver

  • Exploring gender differences in attitudes of university students towards entrepreneurship

    Marina Dabic;Tugrul Daim;Elvan Bayraktaroglu;Ivan Novak

  • Technology mining: Artificial intelligence in manufacturing

    Gordana Zeba;Marina Dabić;Marina Dabić;Mirjana Čičak;Tugrul Daim;Tugrul Daim;Tugrul Daim

  • Multi-Criteria Applications in Renewable Energy Analysis, a Literature Review

    Rimal Abu Taha;Tugrul Daim

  • Evaluation of energy storage technologies for integration with renewable electricity: Quantifying expert opinions

    Tugrul U. Daim;Xin Li;Jisun Kim;Scott Simms

  • Identifying and prioritizing impediments of industry 4.0 to sustainable digital manufacturing: A mixed method approach

    Unknown

  • Product and process innovation in manufacturing firms: a 30-year bibliometric analysis

    Giacomo Marzi;Marina Dabic;Marina Dabic;Tugrul U. Daim;Edwin Garces

  • A strategy to assist management in workforce engagement and employee retention in the high tech engineering environment

    Elizabeth Kennedy;Tugrul U. Daim

  • Integrated blockchain and internet of things in the food supply chain: Adoption barriers

    Unknown

  • Use of analytic hierarchy process (AHP) for selection of 3PL providers

    Tugrul U. Daim;Andreas Udbye;Aparna Balasubramanian

  • Exploring technology acceptance for mobile services

    Kenny Phan;Tugrul Unsal Daim

  • Book ReviewSectoral systems of innovation: Concepts, issues and analyses of six major sectors in EuropeSectoral Systems of Innovation: Concepts, Issues and Analyses of Six Major Sectors in Europe, Franco Malerba (Ed.), Cambridge, UK (2004), 519 pp.

    Unknown

  • Exploring the communication breakdown in global virtual teams

    Tugrul U. Daim;Anita Ha;Shawn Reutiman;Brennan Hughes

Frequent Co-Authors

Marina Dabić
Marina Dabić University of Zagreb
Alexander Brem
Alexander Brem University of Stuttgart
Joe Tidd
Joe Tidd University of Sussex
Dirk Meissner
Dirk Meissner National Research University Higher School of Economics
Haluk Demirkan
Haluk Demirkan University of Washington
Elias G. Carayannis
Elias G. Carayannis George Washington University
Cornelius Herstatt
Cornelius Herstatt Leuphana University of Lüneburg
Claudia Eckert
Claudia Eckert The Open University
Miltiadis D. Lytras
Miltiadis D. Lytras American College of Greece
Paul P. Maglio
Paul P. Maglio University of California, Merced

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