World's Best Scientists 2026 revealed!
Héctor Muñoz-Avila

Héctor Muñoz-Avila

D-Index & Metrics

Computer Science

D-Index
38
Citations
4640
World Ranking
10401
National Ranking
4342

Héctor Muñoz-Avila 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 Héctor Muñoz-Avila 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: 141 publications — 23rd percentile

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

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

Héctor Muñoz-Avila 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 Héctor Muñoz-Avila 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Héctor Muñoz-Avila is affiliated with Lehigh University in the United States. Their research primarily spans the fields of computer science and engineering, with a focus on artificial intelligence and its applications. Their work notably covers areas such as AI-based problem solving and planning, multi-agent systems and negotiation, and logic, reasoning, and knowledge.

The scientist has contributed to multiple publications, with frequent appearances in venues including:

  • arXiv (Cornell University)
  • Journal of Experimental & Theoretical Artificial Intelligence
  • Proceedings of the International Florida Artificial Intelligence Research Society Conference

Muñoz-Avila's recent papers demonstrate a range of topics within AI and planning, including:

  • "Expectations for agents with goal-driven autonomy," 2020, Journal of Experimental & Theoretical Artificial Intelligence
  • "Hierarchical Reinforcement Learning for Deep Goal Reasoning: An Expressiveness Analysis," 2020, arXiv (Cornell University)
  • "Distributed Map Classification using Local Observations," 2020, arXiv (Cornell University)
  • "HTN Learning via Transfer Learning of Domain Landmarks," 2021, Proceedings of the International Florida Artificial Intelligence Research Society Conference
  • "Task Modifiers for HTN Planning and Acting," 2022, arXiv (Cornell University)

Frequent co-authors collaborating with Muñoz-Avila include:

  • Weihang Yuan
  • Dustin Dannenhauer
  • Michael T. Cox
  • Soheila Sadeghi Eshkevari
  • Soheil Sadeghi Eshkevari

Their research topics intersect with subfields like artificial intelligence, computer vision and pattern recognition, electrical and electronic engineering, industrial and manufacturing engineering, and automotive engineering. Specific themes extend to electric vehicles and infrastructure, vehicle routing optimization methods, transportation and mobility innovations, and reinforcement learning in robotics.

This combination of research interests highlights a multidisciplinary approach to AI methodologies applied to complex systems, autonomous agents, and domain-specific learning processes across engineering and computing disciplines.

Best Publications

  • SHOP: Simple Hierarchical Ordered Planner

    Dana S. Nau;Yue Cao;Amnon Lotem;Hector Muñoz-Avila

  • Conversational Case-Based Reasoning

    David W. Aha;Leonard A. Breslow;Héctor Muñoz-Avila

  • Applications of SHOP and SHOP2

    D. Nau;T.-C. Au;O. Ilghami;U. Kuter

  • Total-order planning with partially ordered subtasks

    Dana Nau;Héctor Muñoz-Avila;Yue Cao;Amnon Lotem

  • HTN-MAKER: learning HTNs with minimal additional knowledge engineering required

    Chad Hogg;Héctor Muñoz-Avila;Ugur Kuter

  • Hierarchical plan representations for encoding strategic game AI

    Hai Hoang;Stephen Lee-Urban;Héctor Muñoz-Avila

  • HICAP: an interactive case-based planning architecture and its application to noncombatant evacuation operations

    Héctor Muñoz-Avila;David W. Aha;Len Breslow;Dana Nau

  • Automatically Generating Game Tactics through Evolutionary Learning

    Marc J. V. Ponsen;Hector Muñoz-Avila;Pieter Spronck;David W. Aha

  • Case-based reasoning integrations

    Cynthia Marling;Mohammed Sqalli;Edwina Rissland;Hector Muñoz-Avila

  • Multimodal Entity Coreference for Cervical Dysplasia Diagnosis

    Dezhao Song;Edward Kim;Xiaolei Huang;Joseph Patruno

  • Case-Based Plan Adaptation: An Analysis and Review

    H. Munoz-Avila;M.T. Cox

  • Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning

    Bryan Auslander;Stephen Lee-Urban;Chad Hogg;Héctor Muñoz-Avila

  • SiN: integrating case-based reasoning with task decomposition

    Héctor Muñoz-Avila;David W. Aha;Dana S. Nau;Rosina Weber

  • RETALIATE: learning winning policies in first-person shooter games

    Megan Smith;Stephen Lee-Urban;Héctor Muñoz-Avila

  • Case-based planning

    Michael T. Cox;Héctor Muñoz-avila;Ralph Bergmann

  • CaMeL: learning method preconditions for HTN planning

    Okhtay Ilghami;Dana S. Nau;Héctor Muñoz-Avila;David W. Aha

  • Planning for manufacturing workpieces by storing, indexing and replaying planning decisions

    Héctor Muñoz-Avila;Frank Weberskirch

  • Learning hierarchical task network domains from partially observed plan traces

    Hankz Hankui Zhuo;Héctor Muñoz-Avila;Qiang Yang

  • LCW-Based Agent Planning for the Semantic Web

    Jeff Heflin;Hector Muñoz-Avila

  • IMPACTing SHOP: Putting an AI Planner Into a Multi-Agent Environment

    Jürgen Dix;Héctor Muñoz-Avila;Dana S. Nau;Lingling Zhang

  • Conversational case-based reasoning

    David W. Aha

Frequent Co-Authors

David W. Aha
David W. Aha United States Naval Research Laboratory
Dana S. Nau
Dana S. Nau University of Maryland, College Park
Ralph Bergmann
Ralph Bergmann University of Trier
Jürgen Dix
Jürgen Dix Clausthal University of Technology
Francesco Ricci
Francesco Ricci Free University of Bozen-Bolzano
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Manuela Veloso
Manuela Veloso Carnegie Mellon University
Martin V. Butz
Martin V. Butz University of Tübingen
Sameer Antani
Sameer Antani National Institutes of Health
Peter I. Cowling
Peter I. Cowling Queen Mary University of London

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 education in Computer Science opens up a range of flexible study and career options. Many students choose 2 year online degrees to quickly start in tech fields or lay the groundwork for further study. For those mindful of budgets, consider researching the cheapest online college options, which can make a degree much more accessible.

Worried about academic records? There are best online colleges that accept low GPA to help those with less-than-perfect transcripts find quality programs.

Your degree doesn’t have to limit your future paths. Just as what jobs can you get with an environmental science degree is a common question, computer science graduates also enjoy diverse opportunities—from software engineering to data analysis and beyond.

Whether you’re starting out or upskilling for a career change, online degrees offer flexible, affordable, and inclusive routes into the fast-evolving field of computer science.

Best Scientists Citing Héctor Muñoz-Avila

Trending Scientists

Recently Published Articles