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Computer Science
Poland
2026

D-Index & Metrics

Computer Science

D-Index
77
Citations
27415
World Ranking
1253
National Ranking
4

Janusz Kacprzyk publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Janusz Kacprzyk sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 687 publications — 98th percentile

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

The last bar groups every scientist with 991 publications or more.

Janusz Kacprzyk D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Janusz Kacprzyk sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in Poland Leader Award
  • 2025 - Research.com Computer Science in Poland Leader Award
  • 2022 - Research.com Computer Science in Poland Leader Award
  • 2020 - Member of the European Academy of Sciences
  • 2014 - Member of Academia Europaea
  • 2010 - Polish Academy of Science
  • 2006 - Fuzzy Systems Pioneer Award, IEEE Computational Intelligence Society
  • 2006 - IEEE Fellow For contributions to use of fuzzy logic in decision making and control.
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts

Overview

Janusz Kacprzyk is affiliated with the Systems Research Institute in Poland. Their research spans multiple fields, primarily within Computer Science, Decision Sciences, and Engineering. Within these fields, their work focuses significantly on subfields including Artificial Intelligence, Management Science and Operations Research, Signal Processing, Control and Systems Engineering, and Statistics and Probability.

The scientist's research addresses a range of topics, with major emphasis on Multi-Criteria Decision Making, Data Management and Algorithms, Fuzzy Logic and Control Systems, Fuzzy Systems and Optimization, Intuitionistic Fuzzy Systems Applications, Cognitive Science and Mapping, as well as Optimization and Mathematical Programming.

Janusz Kacprzyk has published numerous papers, notable recent contributions include:

  • Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture, 2020, Computers in Industry
  • A comprehensive review on type 2 fuzzy logic applications: Past, present and future, 2020, Engineering Applications of Artificial Intelligence
  • Special issue on Agri-Food 4.0 and digitalization in agriculture supply chains - New directions, challenges and applications, 2020, Computers in Industry
  • On the philosophical, cognitive and mathematical foundations of symbiotic autonomous systems, 2021, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • The OWA operator in multiple linear regression, 2022, Applied Soft Computing

Regarding collaborations, Janusz Kacprzyk frequently coauthors with:

  • Sławomir Zadrożny
  • Jan W. Owsiński
  • Eulalia Szmidt
  • Witold Pedrycz
  • Valentina Emilia Bălaş

The scientist's work has been published in various venues, with a concentration in:

  • Notes on Intuitionistic Fuzzy Sets
  • Computers in Industry
  • Engineering Applications of Artificial Intelligence
  • Applied Soft Computing
  • Axioms

Janusz Kacprzyk has also contributed extensively to book publications. Major publishers include:

  • Springer International Publishing, with 38 works including titles such as "International Conference on Advanced Intelligent Systems for Sustainable Development" (2023) and "Information Systems and Technologies" (2022)
  • Springer Nature, with 36 books including "Computational Intelligence for Water and Environmental Sciences" (2022) and "Artificial Intelligence and Machine Learning for COVID-19" (2021)
  • Springer Science+Business Media, with 4 books, including "Flexible Query Answering Systems" (2021)
  • Encyclopedia of complexity and systems science series with 1 book titled "Granular, Fuzzy, and Soft Computing" (2023)

The scientist's career includes several distinctions:

  • Member of the European Academy of Sciences (2020)
  • Member of Academia Europaea (2014)
  • Member of the Polish Academy of Science (2010)
  • Fuzzy Systems Pioneer Award by the IEEE Computational Intelligence Society (2006)
  • IEEE Fellow (2006) for contributions to fuzzy logic in decision making and control
  • Member of the European Academy of Sciences and Arts

Best Publications

  • Distances between intuitionistic fuzzy sets

    Eulalia Szmidt;Janusz Kacprzyk

  • Entropy for intuitionistic fuzzy sets

    Eulalia Szmidt;Janusz Kacprzyk

  • Group decision making with a fuzzy linguistic majority

    J Kacprzyk

  • The Ordered Weighted Averaging Operators

    Ronald R. Yager;Janusz Kacprzyk

  • Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

    Mario Lezoche;Jorge E. Hernandez;Maria del Mar Eva Alemany Díaz;Hervé Panetto

  • A review of soft consensus models in a fuzzy environment

    Enrique Herrera-Viedma;Francisco Javier Cabrerizo;Janusz Kacprzyk;Witold Pedrycz

  • Group decision making and consensus under fuzzy preferences and fuzzy majority

    Janusz Kacprzyk;Mario Fedrizzi;Hannu Nurmi

  • Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice

    Ronald R. Yager;Janusz Kacprzyk;Gleb Beliakov

  • A ‘soft’ measure of consensus in the setting of partial (fuzzy) preferences

    Janusz Kacprzyk;Mario Fedrizzi

  • Computing with Words in Information/Intelligent Systems 1

    Lotfi Asker Zadeh;Janusz Kacprzyk

  • Discussion: Terminological difficulties in fuzzy set theory---The case of “Intuitionistic Fuzzy Sets”

    Didier Dubois;Siegfried Gottwald;Petr Hajek;Janusz Kacprzyk

  • Incomplete Information: Rough Set Analysis

    Ewa Orlowska;J. Kacprzyk

  • A Similarity Measure for Intuitionistic Fuzzy Sets and Its Application in Supporting Medical Diagnostic Reasoning

    Eulalia Szmidt;Janusz Kacprzyk

  • LINGUISTIC SUMMARIES OF DATA USING FUZZY LOGIC

    Janusz Kacprzyk;Ronald R. Yager

  • Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools

    Janusz Kacprzyk;Sławomir Zadrozny

  • A consensus-reaching process under intuitionistic fuzzy preference relations

    Eulalia Szmidt;Janusz Kacprzyk

  • Database Queries with Fuzzy Linguistic Quantifiers

    Janusz Kacprzyk;Andrzej Ziolkowski

  • Fuzziness in database management systems

    Janusz Kacprzyk;Sławomir Zadrożny;Guy De Tré

  • Intuitionistic Fuzzy Sets in some Medical Applications

    Eulalia Szmidt;Janusz Kacprzyk

  • A comprehensive review on type 2 fuzzy logic applications: Past, present and future

    Kanika Mittal;Amita Jain;Kunwar Singh Vaisla;Oscar Castillo

  • Multiperson decision making models using fuzzy sets and possibility theory

    Janusz Kacprzyk;Mario Fedrizzi

  • Advances in Web Intelligence

    Piotr S. Szczepaniak;Janusz Kacprzyk;Adam Niewiadomski

  • Fquery for Access: Fuzzy Querying for a Windows-Based DBMS

    Janusz Kacprzyk;Sławomir Zadrożny

  • Fuzzy Regression Analysis

    Hisao Ishibuchi

Frequent Co-Authors

Sławomir Zadrożny
Sławomir Zadrożny Systems Research Institute
Eulalia Szmidt
Eulalia Szmidt Systems Research Institute
Oscar Castillo
Oscar Castillo Instituto Tecnológico de Tijuana
Witold Pedrycz
Witold Pedrycz University of Alberta
Patricia Melin
Patricia Melin Instituto Tecnológico de Tijuana
Krassimir T. Atanassov
Krassimir T. Atanassov Bulgarian Academy of Sciences
José M. Merigó
José M. Merigó University of Technology Sydney
Lotfi A. Zadeh
Lotfi A. Zadeh University of California, Berkeley
Ronald R. Yager
Ronald R. Yager Iona University
Gabriella Pasi
Gabriella Pasi University of Milano-Bicocca

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