World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6434
World Ranking
10677
National Ranking
173

Carmel Domshlak 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 Carmel Domshlak 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: 108 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Carmel Domshlak 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 Carmel Domshlak 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Carmel Domshlak is affiliated with the Technion - Israel Institute of Technology in Israel and specializes in computer science with a focus on artificial intelligence and related subfields. Their research broadly covers AI-based problem solving and planning, constraint satisfaction, optimization, model-driven software engineering, logic and reasoning, machine learning, recommender systems, and data management.

The scientist has contributed to various publication venues with a concentration in conferences dedicated to planning, scheduling, combinatorial search, and data management. Notable venues include:

  • Proceedings of the International Symposium on Combinatorial Search
  • Proceedings of the International Conference on Automated Planning and Scheduling
  • Proceedings of the ACM on Management of Data

Recent publications by Carmel Domshlak showcase active engagement with automated planning and search strategies. Their works include:

  • When Abstractions Met Landmarks, 2021, Proceedings of the International Conference on Automated Planning and Scheduling
  • To UCT, or not to UCT? (Position Paper), 2021, Proceedings of the International Symposium on Combinatorial Search

Co-authorships have been part of their research framework, including collaborations with several scholars such as Michael Katz, Sagi Lefler, Daniel Gnad, Jöerg Hoffmann, and Coral Scharf. These collaborations reflect interdisciplinary exchanges across topics related to combinatorial search, planning, and recommender systems.

Main research fields reflect a sustainable focus on computer science, predominantly through artificial intelligence research. Specific areas of study covered in their publications include:

  • Artificial Intelligence
  • Information Systems
  • Computer Networks and Communications
  • Software
  • Signal Processing

The main topics addressed in Carmel Domshlak's research are varied and reflect comprehensive work areas in AI and computational techniques:

  • AI-based Problem Solving and Planning
  • Constraint Satisfaction and Optimization
  • Model-Driven Software Engineering Techniques
  • Logic, Reasoning, and Knowledge
  • Machine Learning and Algorithms
  • Recommender Systems and Techniques
  • Data Management and Algorithms

Best Publications

  • CP-nets: a tool for representing and reasoning with conditional ceteris paribus preference statements

    Craig Boutilier;Ronen I. Brafman;Carmel Domshlak;Holger H. Hoos

  • Landmarks, Critical Paths and Abstractions: What's the Difference Anyway?

    Malte Helmert;Carmel Domshlak

  • CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements

    C. Boutilier;R. I. Brafman;C. Domshlak;H. H. Hoos

  • From one to many: planning for loosely coupled multi-agent systems

    Ronen I. Brafman;Carmel Domshlak

  • Preference-Based Constrained Optimization with CP-Nets

    Craig Boutilier;Ronen I. Brafman;Carmel Domshlak;Holger H. Hoos

  • Preferences in AI: An overview

    Carmel Domshlak;Eyke Hüllermeier;Souhila Kaci;Henri Prade

  • On graphical modeling of preference and importance

    Ronen I. Brafman;Carmel Domshlak;Solomon E. Shimony

  • Cost-optimal planning with landmarks

    Erez Karpas;Carmel Domshlak

  • Introducing variable importance tradeoffs into CP-nets

    Ronen I. Brafman;Carmel Domshlak

  • Preference Handling - An Introductory Tutorial

    Ronen I. Brafman;Carmel Domshlak

  • Factored planning: how, when, and when not

    Ronen I. Brafman;Carmel Domshlak

  • A general, fully distributed multi-agent planning algorithm

    Raz Nissim;Ronen I. Brafman;Carmel Domshlak

  • CP-nets: Reasoning and Consistency Testing.

    Carmel Domshlak;Ronen I. Brafman

  • Sensor networks and distributed CSP: communication, computation and complexity

    Ramón Béjar;Carmel Domshlak;Cèsar Fernández;Carla Gomes

  • Probabilistic planning via heuristic forward search and weighted model counting

    Carmel Domshlak;Jörg Hoffmann

  • Structure and complexity in planning with unary operators

    Ronen I. Brafman;Carmel Domshlak

  • Optimal admissible composition of abstraction heuristics

    Michael Katz;Carmel Domshlak

  • Better than the real thing?: iterative pseudo-query processing using cluster-based language models

    Oren Kurland;Lillian Lee;Carmel Domshlak

  • Preference-based configuration of web page content

    Carmel Domshlak;Ronen I. Brafman;Solomon E. Shimony

  • Reasoning about soft constraints and conditional preferences: complexity results and approximation techniques

    C. Domshlak;F. Rossi;K. B. Venable;T. Walsh

  • Red-black planning

    Carmel Domshlak;Jörg Hoffmann;Michael Katz

  • CP-nets: a tool for represent-ing and reasoning with conditional ceteris paribus state-ments

    Craig Boutilier;Ronen I. Brafman;Carmel Domshlak;Holger H. Hoos

Frequent Co-Authors

Ronen I. Brafman
Ronen I. Brafman Ben-Gurion University of the Negev
Jörg Hoffmann
Jörg Hoffmann Saarland University
Avigdor Gal
Avigdor Gal Technion – Israel Institute of Technology
Holger H. Hoos
Holger H. Hoos RWTH Aachen University
David Poole
David Poole University of British Columbia
Craig Boutilier
Craig Boutilier Google (United States)
Malte Helmert
Malte Helmert University of Basel
Shaul Markovitch
Shaul Markovitch Technion – Israel Institute of Technology
Thorsten Joachims
Thorsten Joachims Cornell University
Toby Walsh
Toby Walsh University of New South Wales

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