World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7545
World Ranking
9239
National Ranking
3933

Maya Cakmak 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 Maya Cakmak 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: 133 publications — 20th percentile

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

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

Maya Cakmak 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 Maya Cakmak 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: 40 D-Index — 37th percentile

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

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

Overview

Maya Cakmak is affiliated with the University of Washington in the United States. Their research spans several fields including Computer Science, Engineering, and Psychology, with notable subfields in Control and Systems Engineering, Human-Computer Interaction, Artificial Intelligence, Social Psychology, and Computer Vision and Pattern Recognition.

Their main research topics cover Social Robot Interaction and Human-Robot Interaction (HRI), Robot Manipulation and Learning, Innovative Human-Technology Interaction, Digital Mental Health Interventions, Multimodal Machine Learning Applications, Robotic Path Planning Algorithms, and Machine Learning and Algorithms.

Recent publications by Maya Cakmak include:

  • Algorithmic and Human Teaching of Sequential Decision Tasks, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Exploring Teens as Robot Operators, Users and Witnesses in the Wild, 2020, Frontiers in Robotics and AI
  • Following Natural Language Instructions for Household Tasks With Landmark Guided Search and Reinforced Pose Adjustment, 2022, IEEE Robotics and Automation Letters
  • Immersive participatory design of assistive robots to support older adults, 2024, Ergonomics
  • Affordance-Aware Handovers With Human Arm Mobility Constraints, 2021, IEEE Robotics and Automation Letters

Maya Cakmak frequently publishes in venues such as arXiv (Cornell University), IEEE Robotics and Automation Letters, the ACM/IEEE International Conference on Human-Robot Interaction (HRI), Frontiers in Robotics and AI, and the International Conference on Robotics and Automation (ICRA).

Co-authorship collaborations include researchers Dieter Fox, Elin A. Björling, Chris Paxton, Yu-Wei Chao, and Balakumar Sundaralingam, reflecting a pattern of collaborative work across multiple publications.

In addition to journal and conference articles, Maya Cakmak has contributed to book publications, notably with a publication by Springer Science+Business Media titled RoboCup 2021: Robot World Cup XXIV in 2022.

Best Publications

  • Power to the People: The Role of Humans in Interactive Machine Learning

    Saleema Amershi;Maya Cakmak;W. Bradley Knox;Todd Kulesza

  • To Afford or Not to Afford: A New Formalization of Affordances Toward Affordance-Based Robot Control

    Erol Şahin;Maya Çakmak;Mehmet R. Doğar;Emre Uğur

  • Toward seamless human-robot handovers

    Kyle Strabala;Min Kyung Lee;Anca Dragan;Jodi Forlizzi

  • Trajectories and keyframes for kinesthetic teaching: a human-robot interaction perspective

    Baris Akgun;Maya Cakmak;Jae Wook Yoo;Andrea Lockerd Thomaz

  • Designing robot learners that ask good questions

    Maya Cakmak;Andrea L. Thomaz

  • Toys that Listen: A Study of Parents, Children, and Internet-Connected Toys

    Emily McReynolds;Sarah Hubbard;Timothy Lau;Aditya Saraf

  • Keyframe-based Learning from Demonstration Method and Evaluation

    Baris Akgun;Maya Cakmak;Karl Jiang;Andrea Lockerd Thomaz

  • Designing Interactions for Robot Active Learners

    Maya Cakmak;Crystal Chao;Andrea L Thomaz

  • Human preferences for robot-human hand-over configurations

    Maya Cakmak;Siddhartha S. Srinivasa;Min Kyung Lee;Jodi Forlizzi

  • Supporting mental model accuracy in trigger-action programming

    Justin Huang;Maya Cakmak

  • Vision-and-Dialog Navigation

    Jesse Thomason;Michael Murray;Maya Cakmak;Luke Zettlemoyer

  • Using spatial and temporal contrast for fluent robot-human hand-overs

    Maya Cakmak;Siddhartha S. Srinivasa;Min Kyung Lee;Sara Kiesler

  • Adaptive Coordination Strategies for Human-Robot Handovers

    Chien-Ming Huang;Maya Cakmak;Bilge Mutlu

  • Herb 2.0: Lessons Learned From Developing a Mobile Manipulator for the Home

    S. S. Srinivasa;D. Berenson;M. Cakmak;A. Collet

  • RoboFlow: A flow-based visual programming language for mobile manipulation tasks

    Sonya Alexandrova;Zachary Tatlock;Maya Cakmak

  • Characterizing the Design Space of Rendered Robot Faces

    Alisa Kalegina;Grace Schroeder;Aidan Allchin;Keara Berlin

  • Computational Human-Robot Interaction

    Andrea Thomaz;Guy Hoffman;Maya Cakmak

  • Transparent active learning for robots

    Crystal Chao;Maya Cakmak;Andrea L. Thomaz

  • Robot Programming by Demonstration with Interactive Action Visualizations

    Sonya Alexandrova;Maya Cakmak;Kaijen Hsiao;Leila Takayama

  • Algorithmic and human teaching of sequential decision tasks

    Maya Cakmak;Manuel Lopes

  • Enabling Building Service Robots to Guide Blind People: A Participatory Design Approach

    Shiri Azenkot;Catherine Feng;Maya Cakmak

  • Robot Programming by Demonstration with situated spatial language understanding

    Maxwell Forbes;Rajesh P. N. Rao;Luke Zettlemoyer;Maya Cakmak

Frequent Co-Authors

Andrea L. Thomaz
Andrea L. Thomaz The University of Texas at Austin
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Rajesh P. N. Rao
Rajesh P. N. Rao University of Washington
Jodi Forlizzi
Jodi Forlizzi Carnegie Mellon University
Dieter Fox
Dieter Fox University of Washington
Luke Zettlemoyer
Luke Zettlemoyer University of Washington
Sara Kiesler
Sara Kiesler Carnegie Mellon University
Bilge Mutlu
Bilge Mutlu University of Wisconsin–Madison
Peter Stone
Peter Stone The University of Texas at Austin

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