World's Best Scientists 2026 revealed!
Dragan Pamučar

Dragan Pamučar

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Engineering and Technology
Serbia
2026

D-Index & Metrics

Engineering and Technology

D-Index
86
Citations
29182
World Ranking
356
National Ranking
2

Dragan Pamučar publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Dragan Pamučar sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 117 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 59 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 661 publications — 98th percentile

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

The last bar groups every scientist with 804 publications or more.

Dragan Pamučar D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Dragan Pamučar sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 94 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 24 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 86 D-Index — 96th percentile

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

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Serbia Leader Award

Overview

Dragan Pamučar is affiliated with the University of Belgrade in Serbia. Their research spans several interconnected fields, primarily focusing on decision sciences and engineering. Within these broad areas, the scientist's work covers management science and operations research, control and systems engineering, strategy and management, artificial intelligence, and industrial and manufacturing engineering.

Their research topics prominently involve multi-criteria decision making, optimization and mathematical programming, sustainable supply chain management, fuzzy systems and optimization, rough sets and fuzzy logic, fuzzy and soft set theory, and municipal solid waste management.

Dragan Pamučar has published in a variety of venues, with frequent appearances in the following journals:

  • Engineering Applications of Artificial Intelligence
  • Expert Systems with Applications
  • Applied Soft Computing
  • Symmetry
  • Mathematics

Among recent notable papers, the following are included:

  • "Assessment of alternative fuel vehicles for sustainable road transportation of United States using integrated fuzzy FUCOM and neutrosophic fuzzy MARCOS methodology", 2021, The Science of The Total Environment
  • "Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo'B) multi-criteria model", 2020, Journal of Cleaner Production
  • "A New Fuzzy MARCOS Method for Road Traffic Risk Analysis", 2020, Mathematics
  • "Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives", 2022, Expert Systems with Applications
  • "A novel LOPCOW-DOBI multi-criteria sustainability performance assessment methodology: An application in developing country banking sector", 2022, Omega

The scientist has collaborated extensively with several frequent coauthors who have contributed to many joint publications. These coauthors include Vladimir Šimić, Muhammet Deveci, Nasreen Kausar, Ilgın Gökaşar, and Darko Božanić.

In addition to journal papers, Dragan Pamučar has contributed to book publications with major publishers in the scientific community. Recent books include:

  • "Computational Intelligence for Engineering and Management Applications" (2023), Springer Science+Business Media
  • "Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023", Springer International Publishing
  • "Computational Intelligence for Modern Business Systems" (2023), Springer Nature

Best Publications

  • Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)

    Željko Stević;Dragan Pamučar;Adis Puška;Prasenjit Chatterjee

  • The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)

    Dragan Pamučar;Goran Ćirović

  • A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM)

    Dragan Pamučar;Željko Stević;Siniša Sremac

  • Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model

    Fatih Ecer;Dragan Pamucar

  • Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia

    Ljubomir Gigović;Dragan Pamučar;Darko Božanić;Srđan Ljubojević

  • Modification of the Best–Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers

    Dragan Pamučar;Ivan Petrović;Goran Ćirović

  • Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives

    Unknown

  • Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018

    Mirko Stojčić;Edmundas Kazimieras Zavadskas;Dragan Pamučar;Željko Stević

  • Application of GIS-Interval Rough AHP Methodology for Flood Hazard Mapping in Urban Areas

    Ljubomir Gigović;Dragan Pamučar;Zoran Bajić;Siniša Drobnjak

  • A New Fuzzy MARCOS Method for Road Traffic Risk Analysis

    Miomir Stanković;Željko Stević;Dillip Kumar Das;Marko Subotić

  • Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model

    Unknown

  • The Combination of Expert Judgment and GIS-MAIRCA Analysis for the Selection of Sites for Ammunition Depots

    Ljubomir Gigović;Dragan Pamučar;Zoran Bajić;Milić Milićević

  • A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms

    Unknown

  • Evaluating the performance of suppliers based on using the R'AMATEL-MAIRCA method for green supply chain implementation in electronics industry

    Kajal Chatterjee;Dragan Pamucar;Edmundas Kazimieras Zavadskas

  • New model for determining criteria weights: Level Based Weight Assessment (LBWA) model

    Mališa Žižović;Dragan Pamučar

  • Assessment of alternative fuel vehicles for sustainable road transportation of United States using integrated fuzzy FUCOM and neutrosophic fuzzy MARCOS methodology

    Dragan Pamucar;Fatih Ecer;Muhammet Deveci

  • Integration of interval rough AHP and interval rough MABAC methods for evaluating university web pages

    Dragan Pamučar;Željko Stević;Edmundas Kazimieras Zavadskas

  • A sensitivity analysis in MCDM problems: A statistical approach

    Irik Mukhametzyanov;Dragan Pamucar

  • Personal Mobility in Metaverse With Autonomous Vehicles Using Q-Rung Orthopair Fuzzy Sets Based OPA-RAFSI Model

    Unknown

  • Fermatean fuzzy Heronian mean operators and MEREC‐based additive ratio assessment method: An application to food waste treatment technology selection

    Unknown

  • A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China

    Yi Wang;Haoyuan Hong;Wei Chen;Shaojun Li

  • Green logistic vehicle routing problem: Routing light delivery vehicles in urban areas using a neuro-fuzzy model

    Goran Irović;Dragan Pamučar;Darko Boanić

  • MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services

    Fatih Ecer;Dragan Pamucar

  • Assessment of third-party logistics provider using multi-criteria decision-making approach based on interval rough numbers

    Dragan Pamucar;Kajal Chatterjee;Edmundas Kazimieras Zavadskas

  • GIS-Fuzzy DEMATEL MCDA model for the evaluation of the sites for ecotourism development: A case study of “Dunavski ključ” region, Serbia

    Ljubomir Gigović;Dragan Pamučar;Darko Lukić;Slobodanka Marković

  • Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

    Željko Stević;Dragan Pamučar;Marko Vasiljević;Gordan Stojić

Frequent Co-Authors

Željko Stević
Željko Stević University of East Sarajevo
Muhammet Deveci
Muhammet Deveci University College London
Prasenjit Chatterjee
Prasenjit Chatterjee Maulana Abul Kalam Azad University of Technology
Samarjit Kar
Samarjit Kar National Institute of Technology Durgapur
Edmundas Kazimieras Zavadskas
Edmundas Kazimieras Zavadskas Vilnius Gediminas Technical University
Abbas Mardani
Abbas Mardani Qazvin University of Medical Sciences
Tahir Mahmood
Tahir Mahmood International Islamic University, Islamabad
Yu-Ming Chu
Yu-Ming Chu Huzhou University
Madjid Tavana
Madjid Tavana La Salle University
Shankar Chakraborty
Shankar Chakraborty Jadavpur University

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