World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
12893
World Ranking
6067
National Ranking
363

Robert John 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 Robert John 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: 223 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Robert John 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 Robert John 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Robert John is affiliated with the University of Nottingham in the United Kingdom and has a research focus primarily within the field of Computer Science. Their work encompasses several subfields including Artificial Intelligence, Management Science and Operations Research, Statistics and Probability, Computational Theory and Mathematics, and Industrial and Manufacturing Engineering.

Within their scholarly contributions, Robert John has addressed a variety of topics with notable emphasis on Multi-Criteria Decision Making, Fuzzy Logic and Control Systems, and Neural Networks and Applications. Additional areas of interest include Fuzzy Systems and Optimization, Fatigue and fracture mechanics, Imbalanced Data Classification Techniques, and Ecology and Vegetation Dynamics Studies.

The researcher has published in numerous academic venues. Frequent venues include:

  • IEEE Transactions on Fuzzy Systems
  • SSRN Electronic Journal
  • Journal of Craniofacial Surgery
  • Applied Soft Computing
  • Journal of Environmental Management

Among their recent publications are:

  • "Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS," 2021, Applied Soft Computing
  • "A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method," 2020, Journal of Environmental Management
  • "Interval type-2 fuzzy sets improved by Simulated Annealing for locating the electric charging stations," 2020, Information Sciences
  • "Alpha-cut representation used for defuzzification in rule-based systems," 2020, Fuzzy Sets and Systems
  • "A Comprehensive Study of the Efficiency of Type-Reduction Algorithms," 2020, IEEE Transactions on Fuzzy Systems

Collaboration has been a part of their research activities, with frequent co-authors including Ender Özcan, Jonathan M. Garibaldi, Muhammet Deveci, Dragan Pamučar, and Seda Türk.

In addition to journal articles, Robert John has contributed to the literature with a book published by Springer Nature titled Soft Computing Techniques and Applications in 2020.

Best Publications

  • Type-2 fuzzy sets made simple

    J.M. Mendel;R.I.B. John

  • Interval Type-2 Fuzzy Logic Systems Made Simple

    J.M. Mendel;R.I. John;F. Liu

  • Geometric Type-1 and Type-2 Fuzzy Logic Systems

    S. Coupland;R. John

  • Type-2 Fuzzy Logic: A Historical View

    R. John;S. Coupland

  • The collapsing method of defuzzification for discretised interval type-2 fuzzy sets

    Sarah Greenfield;Francisco Chiclana;Simon Coupland;Robert John

  • Type 2 fuzzy sets: an appraisal of theory and applications

    Robert John

  • Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by type-2 linguistic quantifiers

    Shang-Ming Zhou;Francisco Chiclana;Robert I. John;Jonathan M. Garibaldi

  • Computer aided fuzzy medical diagnosis

    P. R. Innocent;R. I. John

  • Modeling uncertainty in clinical diagnosis using fuzzy logic

    R.I. John;P.R. Innocent

  • Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS

    Muhammet Deveci;Ender Özcan;Robert I. John;Dragan Pamucar

  • A Fast Geometric Method for Defuzzification of Type-2 Fuzzy Sets

    S. Coupland;R. John

  • Grey sets and greyness

    Yingjie Yang;Robert John

  • Neuro-fuzzy clustering of radiographic tibia image data using type 2 fuzzy sets

    R. I. John;P. R. Innocent;M. R. Barnes

  • A method of learning weighted similarity function to improve the performance of nearest neighbor

    Mansoor Zolghadri Jahromi;Elham Parvinnia;Robert John

  • A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method

    Muhammet Deveci;Muhammet Deveci;Ender Özcan;Robert John;Catalin-Felix Covrig

  • Fuzzy Logic Control System for Autonomous Sailboats

    R. Stelzer;T. Proll;R.I. John

  • Multi-objective evolutionary algorithms and hyper-heuristics for wind farm layout optimisation

    Wenwen Li;Ender Özcan;Robert John

  • Hybrid Learning for Interval Type-2 Intuitionistic Fuzzy Logic Systems as Applied to Identification and Prediction Problems

    Imo Eyoh;Robert John;Geert De Maere;Erdal Kayacan

  • A survey-based type-2 fuzzy logic system for energy management in hybrid electrical vehicles

    Javier Solano Martínez;Robert I. John;Daniel Hissel;Marie-Cécile Péra

  • The sampling method of defuzzification for type-2 fuzzy sets: Experimental evaluation

    Sarah Greenfield;Francisco Chiclana;Robert John;Simon Coupland

Frequent Co-Authors

Jonathan M. Garibaldi
Jonathan M. Garibaldi University of Nottingham
Ender Özcan
Ender Özcan University of Nottingham
Francisco Chiclana
Francisco Chiclana De Montfort University
Jerry M. Mendel
Jerry M. Mendel University of Southern California
Isaac Triguero
Isaac Triguero University of Nottingham
Muhammet Deveci
Muhammet Deveci University College London
Erdal Kayacan
Erdal Kayacan Aarhus University
Francisco Herrera
Francisco Herrera University of Granada
Graham Kendall
Graham Kendall MILA University
Adel M. Alimi
Adel M. Alimi University of Sfax

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