World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
8000
World Ranking
11044
National Ranking
22

Eulalia Szmidt 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 Eulalia Szmidt 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: 132 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Eulalia Szmidt 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 Eulalia Szmidt 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Eulalia Szmidt is affiliated with the Systems Research Institute in Poland. Their research focuses primarily on areas within Computer Science and Decision Sciences, with significant contributions across applied artificial intelligence and operations research.

The main fields of study for their work include:

  • Computer Science
  • Decision Sciences

Subfields where Szmidt has made contributions encompass:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Statistics and Probability
  • Control and Systems Engineering
  • Computational Theory and Mathematics

Key topics addressed in their publications are:

  • Multi-Criteria Decision Making
  • Intuitionistic Fuzzy Systems Applications
  • Fuzzy Logic and Control Systems
  • Cognitive Science and Mapping
  • Fuzzy Systems and Optimization
  • Optimization and Mathematical Programming
  • Neural Networks and Applications

Szmidt has contributed to various publication venues, frequently publishing in:

  • Notes on Intuitionistic Fuzzy Sets
  • Journal of Artificial Intelligence and Soft Computing Research
  • 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  • International Journal of Applied Mathematics and Computer Science
  • Control and Cybernetics

Notable recent papers include:

  • "Ranking of Alternatives Described by Atanassov's Intuitionistic Fuzzy Sets - A Critical Review" (2022), 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  • "Ranking of Alternatives Described by Atanassov's Intuitionistic Fuzzy Sets - Reconciling Some Misunderstandings" (2024), Journal of Artificial Intelligence and Soft Computing Research
  • "Similarity measures for Atanassov's intuitionistic fuzzy sets: some dilemmas and challenges" (2022), Control and Cybernetics

Szmidt has also been involved in book publications, with works published by Springer Nature and Springer International Publishing, including titles focused on uncertainty and imprecision in decision making:

  • Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives (2020)
  • Uncertainty and Imprecision in Decision Making and Decision Support - New Advances, Challenges, and Perspectives (2023)

Frequent co-authors in Szmidt's research include:

  • Janusz Kacprzyk
  • Jan W. Owsiński
  • Sławomir Zadrożny
  • Paweł Bujnowski
  • Krassimir Atanassov

Best Publications

  • Distances between intuitionistic fuzzy sets

    Eulalia Szmidt;Janusz Kacprzyk

  • Entropy for intuitionistic fuzzy sets

    Eulalia Szmidt;Janusz Kacprzyk

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

    Eulalia Szmidt;Janusz Kacprzyk

  • Using intuitionistic fuzzy sets in group decision making

    E. Szmidt;J. Kacprzyk

  • A consensus-reaching process under intuitionistic fuzzy preference relations

    Eulalia Szmidt;Janusz Kacprzyk

  • Intuitionistic Fuzzy Sets in some Medical Applications

    Eulalia Szmidt;Janusz Kacprzyk

  • Distances and Similarities in Intuitionistic Fuzzy Sets

    Eulalia Szmidt

  • How to measure the amount of knowledge conveyed by Atanassov's intuitionistic fuzzy sets

    Eulalia Szmidt;Janusz Kacprzyk;Paweł Bujnowski

  • A new concept of a similarity measure for intuitionistic fuzzy sets and its use in group decision making

    Eulalia Szmidt;Janusz Kacprzyk

  • Amount of Information and Its Reliability in the Ranking of Atanassov’s Intuitionistic Fuzzy Alternatives

    Eulalia Szmidt;Janusz Kacprzyk

  • Group decision making under intuitionistic fuzzy preference relations

    E Szmidt;J Kacprzyk

  • An intuitionistic fuzzy set based approach to intelligent data analysis: an application to medical diagnosis

    Eulalia Szmidt;Janusz Kacprzyk

  • Intuitionistic Fuzzy Sets in Intelligent Data Analysis for Medical Diagnosis

    Eulalia Szmidt;Janusz Kacprzyk

  • Algorithms for estimating missing elements of incomplete intuitionistic preference relations

    Zeshui Xu;Xiaoqiang Cai;Eulalia Szmidt

  • Distances Between Intuitionistic Fuzzy Sets: Straightforward Approaches may not work

    Eulalia Szmidt;Janusz Kacprzyk

  • Correlation of intuitionistic fuzzy sets

    Eulalia Szmidt;Janusz Kacprzyk

  • Evaluation of agreement in a group of experts via distances between intuitionistic fuzzy preferences

    E. Szmidt;J. Kacprzyk

  • Some Problems with Entropy Measures for the Atanassov Intuitionistic Fuzzy Sets

    Eulalia Szmidt;Janusz Kacprzyk

  • A New Similarity Measure for Intuitionistic Fuzzy Sets: Straightforward Approaches may not work

    E. Szmidt;J. Kacprzyk

  • A concept of similarity for intuitionistic fuzzy sets and its use in group decision making

    E. Szmidt;J. Kacprzyk

  • Applications of intuitionistic Fuzzy sets in decision making

    Eulalia Szmidt;Janusz Kacprzyk

  • Fuzzy thinking. The new science of fuzzy logic

    Eulalia Szmidt

Frequent Co-Authors

Janusz Kacprzyk
Janusz Kacprzyk Systems Research Institute
Krassimir T. Atanassov
Krassimir T. Atanassov Bulgarian Academy of Sciences
Sławomir Zadrożny
Sławomir Zadrożny Systems Research Institute
Patricia Melin
Patricia Melin Instituto Tecnológico de Tijuana
Oscar Castillo
Oscar Castillo Instituto Tecnológico de Tijuana
Xiaoqiang Cai
Xiaoqiang Cai Chinese University of Hong Kong
Etienne Kerre
Etienne Kerre Ghent University
Zeshui Xu
Zeshui Xu Sichuan University
Taekyun Kim
Taekyun Kim Kwangwoon University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in Computer Science opens up a wealth of options for students from all backgrounds. Some prefer quick entry into the workforce by considering 1 year associate degree programs online, which offer fundamental skills in less time than traditional degrees.

Budget is a major concern, but students have plenty of choices thanks to a wide array of affordable online degree programs. These programs make it easier to launch a tech career without overwhelming student debt.

Not every applicant has a stellar academic record. Many schools are open-minded, and there are best online colleges that accept low gpa scores. This means more learners can access quality education, regardless of past academic challenges.

Career opportunities with a computer science background are vast—often crossing into other fields. For example, those interested in sustainability can look into jobs with elementary education and environmental science degree programs, combining technology with environmental impact.

Best Scientists Citing Eulalia Szmidt

Trending Scientists

Recently Published Articles