World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
4228
World Ranking
11817
National Ranking
31

Miłosz Kadziński 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 Miłosz Kadziński 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: 126 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Miłosz Kadziński 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 Miłosz Kadziński 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Best Publications

  • How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy.

    Marco Cinelli;Miłosz Kadziński;Michael Gonzalez;Roman Słowiński;Roman Słowiński

  • Robust ordinal regression in preference learning and ranking

    Salvatore Corrente;Salvatore Greco;Miłosz Kadziński;Roman Słowiński

  • Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain

    Kannan Govindan;Miłosz Kadziński;R. Sivakumar

  • Selection of a sustainable third-party reverse logistics provider based on the robustness analysis of an outranking graph kernel conducted with ELECTRE I and SMAA

    Kannan Govindan;Miłosz Kadziński;Ronja Ehling;Grzegorz Miebs

  • Robust ordinal regression for multiple criteria group decision: UTAGMS-GROUP and UTADISGMS-GROUP

    Salvatore Greco;Miłosz Kadziński;Vincent Mousseau;Roman Słowiński

  • Extreme ranking analysis in robust ordinal regression

    MiŁosz Kadziński;Salvatore Greco;Roman SŁowiński;Roman SŁowiński

  • Robust multi-criteria ranking with additive value models and holistic pair-wise preference statements

    Miłosz Kadziński;Tommi Tervonen

  • ELECTREGKMS: Robust ordinal regression for outranking methods

    Salvatore Greco;Miłosz Kadziński;Vincent Mousseau;Roman Słowiński;Roman Słowiński

  • Stochastic ordinal regression for multiple criteria sorting problems

    MiłOsz KadzińSki;Tommi Tervonen

  • Selection of a representative value function in robust multiple criteria sorting

    Salvatore Greco;MiŁosz Kadziński;Roman SŁowiński

  • Selection of a representative value function in robust multiple criteria ranking and choice

    Miłosz Kadziński;Salvatore Greco;Roman Słowiński;Roman Słowiński

  • Robust multi-criteria sorting with the outranking preference model and characteristic profiles

    Miłosz Kadziński;Tommi Tervonen;José Rui Figueira

  • Robust ordinal regression for Dominance-based Rough Set Approach to multiple criteria sorting

    Miłosz Kadziński;Salvatore Greco;Salvatore Greco;Roman Słowiński;Roman Słowiński

  • Comprehensive resilience assessment of electricity supply security for 140 countries

    Patrick Gasser;Johannes Suter;Johannes Suter;Marco Cinelli;Matteo Spada

  • Integrated framework for preference modeling and robustness analysis for outranking-based multiple criteria sorting with ELECTRE and PROMETHEE

    Miłosz Kadziński;Krzysztof Ciomek

  • Evaluation of multi-objective optimization approaches for solving green supply chain design problems

    Miłosz Kadziński;Tommi Tervonen;Michał K. Tomczyk;Rommert Dekker

  • Data-Driven Preference Learning Methods for Value-Driven Multiple Criteria Sorting with Interacting Criteria

    Jiapeng Liu;Milosz Kadzinski;Xiuwu Liao;Xiaoxin Mao

  • Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria

    Jiapeng Liu;Xiuwu Liao;Miłosz Kadziński;Roman Słowiński;Roman Słowiński

  • Selection of a Representative Value Function for Robust Ordinal Regression in Group Decision Making

    Miłosz Kadziński;Salvatore Greco;Roman Słowiński;Roman Słowiński

  • Sustainability evaluation of retrofitting solutions for rural buildings through life cycle approach and multi-criteria analysis

    Lucia Rocchi;Miłosz Kadziński;Maria Elena Menconi;David Grohmann

Frequent Co-Authors

Roman Słowiński
Roman Słowiński Poznań University of Technology
Salvatore Greco
Salvatore Greco University of Portsmouth
José Rui Figueira
José Rui Figueira Instituto Superior Técnico
Vincent Mousseau
Vincent Mousseau CentraleSupélec
Kannan Govindan
Kannan Govindan University of Adelaide
Jafar Rezaei
Jafar Rezaei Delft University of Technology
Rommert Dekker
Rommert Dekker Erasmus University Rotterdam
Manuel López-Ibáñez
Manuel López-Ibáñez University of Manchester
Rajender S. Varma
Rajender S. Varma Environmental Protection Agency
Mallikarjuna N. Nadagouda
Mallikarjuna N. Nadagouda Environmental Protection Agency

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