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Business and Management
Germany
2026
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Engineering and Technology
Germany
2026

D-Index & Metrics

Business and Management

D-Index
96
Citations
36289
World Ranking
63
National Ranking
4

Engineering and Technology

D-Index
91
Citations
33914
World Ranking
241
National Ranking
4

Dmitry Ivanov 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 Dmitry Ivanov 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: 416 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Dmitry Ivanov 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 Dmitry Ivanov 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: 96 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Business and Management in Germany Leader Award
  • 2026 - Research.com Engineering and Technology in Germany Leader Award
  • 2025 - Research.com Business and Management in Germany Leader Award
  • 2025 - Research.com Engineering and Technology in Germany Leader Award
  • 2024 - Research.com Business and Management in Germany Leader Award
  • 2023 - Research.com Business and Management in Germany Leader Award

Overview

Dmitry Ivanov is affiliated with the Berlin School of Economics and Law in Germany. Their research focuses primarily on supply chain resilience, risk management, and the impact of disruptions on global supply networks. Their work spans several interconnected fields including Business, Management and Accounting as well as Engineering, with significant contributions to subfields such as Strategy and Management, Management Information Systems, and Industrial and Manufacturing Engineering.

The main topics of their research include:

  • Supply Chain Resilience and Risk Management
  • Quality and Supply Management
  • Sustainable Supply Chain Management
  • Supply Chain and Inventory Management
  • Digital Transformation in Industry
  • Scheduling and Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization

Their published papers demonstrate a strong engagement with the contemporary challenges of supply chain disruptions and resilience, particularly in the context of the COVID-19 pandemic. Notable papers are:

  • Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case, 2020, Transportation Research Part E Logistics and Transportation Review
  • Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak, 2020, International Journal of Production Research
  • A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0, 2020, Production Planning & Control
  • Viable supply chain model: integrating agility, resilience and sustainability perspectives-lessons from and thinking beyond the COVID-19 pandemic, 2020, Annals of Operations Research
  • Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review, 2020, Annals of Operations Research

The scientist has collaborated frequently with several coauthors, indicating a strong network in their research community. Frequent collaborators include:

  • Alexander Tsipoulanidis
  • Jörn Schönberger
  • Alexandre Dolgui
  • Boris Sokolov
  • Fabio Sgarbossa

Dmitry Ivanov has contributed to various academic journals, with repeated publications in:

  • International Journal of Production Research
  • Annals of Operations Research
  • arXiv (Cornell University)
  • Transportation Research Part E Logistics and Transportation Review
  • International Journal of Production Economics

Their scholarly output also includes several books published primarily by Springer International Publishing and LCC MAKS Press eBooks. Titles include:

  • Introduction to Supply Chain Resilience, 2021
  • Global Supply Chain and Operations Management, 2021 and 2025
  • Introduction to Supply Chain Analytics, 2024
  • Supply Network Dynamics and Control, 2022
  • Introduction to Supply Chain Resilience and Viability, 2025
  • Introduction to Operations and Supply Chain Simulation with AnyLogic, 2025
  • Risk Management at Railway Transports, 2022
  • Supply chain security management, 2022
  • Transportation in Supply Chains, 2023
  • SUPPLY CHAIN SECURITY MANAGEMENT, 2023

The research activity of Dmitry Ivanov covers a range of topics emphasizing the integration of agility, resilience, sustainability, and digital advancements in supply chain management under conditions of disruption and uncertainty.

Best Publications

  • The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics

    Dmitry A. Ivanov;Alexandre Dolgui;Boris V. Sokolov

  • Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

    Dmitry Ivanov

  • Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak

    Dmitry A. Ivanov;Alexandre Dolgui

  • Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review.

    Maciel M. Queiroz;Dmitry Ivanov;Alexandre Dolgui;Samuel Fosso Wamba

  • Review of quantitative methods for supply chain resilience analysis

    Seyedmohsen Hosseini;Dmitry Ivanov;Alexandre Dolgui

  • A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0

    Dmitry Ivanov;Alexandre Dolgui

  • Viable supply chain model: integrating agility, resilience and sustainability perspectives-lessons from and thinking beyond the COVID-19 pandemic.

    Dmitry Ivanov

  • Ripple effect in the supply chain: an analysis and recent literature

    Alexandre Dolgui;Dmitry A. Ivanov;Boris V. Sokolov

  • The Ripple effect in supply chains: trade-off 'efficiency-flexibility-resilience' in disruption management

    Dmitry Ivanov;Boris Sokolov;Alexandre Dolgui

  • Literature review on disruption recovery in the supply chain

    Dmitry A. Ivanov;Alexandre Dolgui;Boris V. Sokolov;Marina Ivanova

  • The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives

    Unknown

  • A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0

    Dmitry Ivanov;Alexandre Dolgui;Boris Sokolov;Frank Werner

  • Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain

    Alexandre Dolgui;Dmitry A. Ivanov;Semyon A. Potryasaev;Boris V. Sokolov

  • Machine learning in manufacturing and industry 4.0 applications

    Rahul Rai;Manoj Kumar Tiwari;Dmitry Ivanov;Alexandre Dolgui

  • Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management

    Dmitry Ivanov;Christopher S. Tang;Alexandre Dolgui;Daria Battini

  • Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics

    Giuseppe Fragapane;Dmitry Ivanov;Mirco Peron;Fabio Sgarbossa

  • Reconfigurable supply chain: the X-network

    Alexandre Dolgui;Dmitry A. Ivanov;Boris V. Sokolov

  • Resilient supplier selection and optimal order allocation under disruption risks

    Seyedmohsen Hosseini;Nazanin Morshedlou;Dmitry Ivanov;M.D. Sarder

  • A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing

    Ian M. Cavalcante;Enzo Morosini Frazzon;Fernando Antonio Forcellini;Dmitry A. Ivanov

  • Coronavirus (COVID-19/SARS-CoV-2) and supply chain resilience: A research note

    Dmitry Ivanov;Ajay Das

  • OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications.

    Dmitry Ivanov;Alexandre Dolgui

  • A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations

    Dmitry A. Ivanov;Boris V. Sokolov;Joachim Kaeschel

  • Revealing interfaces of supply chain resilience and sustainability: a simulation study

    Dmitry A. Ivanov

  • Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies

    Dmitry Ivanov

Frequent Co-Authors

Boris Sokolov
Boris Sokolov Russian Academy of Sciences
Alexandre Dolgui
Alexandre Dolgui IMT Atlantique
Frank Werner
Frank Werner Otto-von-Guericke University Magdeburg
Tsan-Ming Choi
Tsan-Ming Choi University of Liverpool
Suresh P. Sethi
Suresh P. Sethi The University of Texas at Dallas
Richard F. Hartl
Richard F. Hartl University of Vienna
Daria Battini
Daria Battini University of Padua
Hervé Panetto
Hervé Panetto University of Lorraine
Fabio Sgarbossa
Fabio Sgarbossa Norwegian University of Science and Technology
Xiaofan Wang
Xiaofan Wang Shanghai University

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