World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
7919
World Ranking
13365
National Ranking
848

Nelly Bencomo 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 Nelly Bencomo 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: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Nelly Bencomo 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 Nelly Bencomo 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Nelly Bencomo is affiliated with Durham University in the United Kingdom and has conducted research primarily within the field of Computer Science. Their work encompasses various subfields including Artificial Intelligence, Computer Networks and Communications, Information Systems and Management, Information Systems, and Software.

The scientist's research contributions cover multiple main topics, such as Software System Performance and Reliability, Advanced Software Engineering Methodologies, Scientific Computing and Data Management, Business Process Modeling and Analysis, Software Engineering Research, Reinforcement Learning in Robotics, and Explainable Artificial Intelligence (XAI).

Nelly Bencomo has published extensively in venues including arXiv (Cornell University), Software & Systems Modeling, the 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), IEEE Software, and ACM Transactions on Autonomous and Adaptive Systems.

Recent papers published by Nelly Bencomo include:

  • Opportunities in intelligent modeling assistance, 2020, Software & Systems Modeling
  • A Hitchhiker's Guide to Model-Driven Engineering for Data-Centric Systems, 2020, IEEE Software
  • The uncertainty interaction problem in self-adaptive systems, 2022, Software & Systems Modeling
  • Toward model-driven sustainability evaluation, 2020, Communications of the ACM
  • Towards a Research Agenda for Understanding and Managing Uncertainty in Self-Adaptive Systems, 2023, ACM SIGSOFT Software Engineering Notes

Frequent co-authors collaborating with Nelly Bencomo include Benoît Combemale, Pete Sawyer, Antonio García-Domínguez, Eugene Syriani, and Betty H. C. Cheng.

Best Publications

  • Software Engineering for Self-Adaptive Systems : A Second Research Roadmap

    Rogério de Lemos;Holger Giese;Hausi A. Müller;Mary Shaw

  • Software Engineering for Self-Adaptive Systems: A Research Roadmap

    Betty H. Cheng;Rogério Lemos;Holger Giese;Paola Inverardi

  • Models@ run.time

    G. Blair;N. Bencomo

  • RELAX: Incorporating Uncertainty into the Specification of Self-Adaptive Systems

    Jon Whittle;Pete Sawyer;Nelly Bencomo;Betty H.C. Cheng

  • A Goal-Based Modeling Approach to Develop Requirements of an Adaptive System with Environmental Uncertainty

    Betty H. Cheng;Pete Sawyer;Nelly Bencomo;Jon Whittle

  • Requirements-Aware Systems: A Research Agenda for RE for Self-adaptive Systems

    Pete Sawyer;Nelly Bencomo;Jon Whittle;Emmanuel Letier

  • RELAX: a language to address uncertainty in self-adaptive systems requirement

    Jon Whittle;Pete Sawyer;Nelly Bencomo;Betty H. C. Cheng

  • Goal-Based Modeling of Dynamically Adaptive System Requirements

    H.J. Goldsby;P. Sawyer;N. Bencomo;B.H.C. Cheng

  • Requirements reflection: requirements as runtime entities

    Nelly Bencomo;Jon Whittle;Pete Sawyer;Anthony Finkelstein

  • An Aspect-Oriented and Model-Driven Approach for Managing Dynamic Variability

    Brice Morin;Franck Fleurey;Nelly Bencomo;Jean-Marc Jézéquel

  • [email protected]: a Guided Tour of the State-of-the-Art and Research Challenges

    Nelly Bencomo;Sebastian Götz;Hui Song

  • [email protected]: foundations, applications, and roadmaps

    Nelly Bencomo;Betty H.C. Cheng;Uwe Aßmann

  • The Notion of Self-aware Computing

    Samuel Kounev;Peter R. Lewis;Kirstie L. Bellman;Nelly Bencomo

  • Software engineering for self-adaptive systems: research challenges in the provision of assurances

    Rogério de Lemos;David Garlan;Carlo Ghezzi;Holger Giese

  • Dynamically Adaptive Systems are Product Lines too: Using Model-Driven Techniques to Capture Dynamic Variability of Adaptive Systems

    Nelly Bencomo;Peter Sawyer;Gordon S. Blair;Paul Grace

  • Perpetual assurances for self-adaptive systems

    Danny Weyns;Nelly Bencomo;Radu Calinescu;Javier Camara

  • A View of the Dynamic Software Product Line Landscape

    N. Bencomo;S. Hallsteinsen;Eduardo Santana de Almeida

  • Genie: supporting the model driven development of reflective, component-based adaptive systems

    Nelly Bencomo;Paul Grace;Carlos Flores;Danny Hughes

  • Modeling and Validating Dynamic Adaptation

    Franck Fleurey;Vegard Dehlen;Nelly Bencomo;Brice Morin

  • Supporting decision-making for self-adaptive systems: from goal models to dynamic decision networks

    Nelly Bencomo;Amel Belaggoun

  • Software Engineering Processes for Self-adaptive Systems

    Jesper Andersson;Luciano Baresi;Nelly Bencomo;Rogério de Lemos

  • 08031 -- Software Engineering for Self-Adaptive Systems: A Research Road Map

    Betty H.C. Cheng;Holger Giese;Paola Inverardi;Jeff Magee

Frequent Co-Authors

Gordon S. Blair
Gordon S. Blair Lancaster University
Pete Sawyer
Pete Sawyer Aston University
Betty H. C. Cheng
Betty H. C. Cheng Michigan State University
Jon Whittle
Jon Whittle Commonwealth Scientific and Industrial Research Organisation
Paola Inverardi
Paola Inverardi University of L'Aquila
Holger Giese
Holger Giese Hasso Plattner Institute
Anthony Finkelstein
Anthony Finkelstein University College London
Sam Malek
Sam Malek University of California, Irvine
Hausi A. Müller
Hausi A. Müller University of Victoria
Jean-Marc Jézéquel
Jean-Marc Jézéquel University of Rennes

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