World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
6413
World Ranking
11562
National Ranking
4751

Aaron Steinfeld 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 Aaron Steinfeld 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: 173 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Aaron Steinfeld 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 Aaron Steinfeld 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: 35 D-Index — 20th percentile

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

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

Overview

Aaron Steinfeld is affiliated with Carnegie Mellon University in the United States. Their research spans multiple areas within computer science and engineering, with a focus on human-robot interaction, autonomous vehicle technology, and human-automation safety. The scientist's work intersects with social psychology, computer vision, human-computer interaction, automotive engineering, and artificial intelligence.

Their scholarly contributions include investigations into social robot interaction and human-robot interaction (HRI), autonomous vehicle technology and safety, human-automation interaction and safety, evacuation and crowd dynamics, video surveillance and tracking methods, innovative human-technology interaction, and traffic control and management.

Key recent publications include:

  • Core Challenges of Social Robot Navigation: A Survey (2023), published in ACM Transactions on Human-Robot Interaction
  • Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment (2021), published in Transportation Research Part C Emerging Technologies
  • SocNavBench: A Grounded Simulation Testing Framework for Evaluating Social Navigation (2022), published in ACM Transactions on Human-Robot Interaction
  • Core Challenges of Social Robot Navigation: A Survey (2021), published in arXiv (Cornell University)
  • Synergistic Integration of Large Language Models and Cognitive Architectures for Robust AI: An Exploratory Analysis (2024), published in Proceedings of the AAAI Symposium Series

Frequently collaborating co-authors include Allan Wang, John Zimmerman, Samantha Reig, Jodi Forlizzi, and Henny Admoni.

Their publications appear most often in:

  • arXiv (Cornell University)
  • ACM Transactions on Human-Robot Interaction
  • Proceedings of the AAAI Symposium Series
  • Transportation Research Part C Emerging Technologies
  • IEEE Transactions on Human-Machine Systems

This body of work reflects significant involvement in topics such as the social aspects of robot navigation, simulation frameworks for social navigation evaluation, tactical control strategies for autonomous vehicles using reinforcement learning, and explorations of integrating large language models with cognitive architectures to enhance artificial intelligence robustness.

Best Publications

  • Common metrics for human-robot interaction

    Aaron Steinfeld;Terrence Fong;David Kaber;Michael Lewis

  • Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design

    Qian Yang;Aaron Steinfeld;Carolyn Rosé;John Zimmerman

  • A robotic walker that provides guidance

    A. Morris;R. Donamukkala;A. Kapuria;A. Steinfeld

  • Investigating How Experienced UX Designers Effectively Work with Machine Learning

    Qian Yang;Alex Scuito;John Zimmerman;Jodi Forlizzi

  • Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes

    Qian Yang;Aaron Steinfeld;John Zimmerman

  • The oz of wizard: simulating the human for interaction research

    Aaron Steinfeld;Odest Chadwicke Jenkins;Brian Scassellati

  • Field trial of Tiramisu: crowd-sourcing bus arrival times to spur co-design

    John Zimmerman;Anthony Tomasic;Charles Garrod;Daisy Yoo

  • Impact of robot failures and feedback on real-time trust

    Munjal Desai;Poornima Kaniarasu;Mikhail Medvedev;Aaron Steinfeld

  • Core Challenges of Social Robot Navigation: A Survey.

    Christoforos I. Mavrogiannis;Francesca Baldini;Allan Wang;Dapeng Zhao

  • Moving object detection with laser scanners

    Christoph Mertz;Luis E. Navarro-Serment;Robert MacLachlan;Paul Rybski

  • Effects of changing reliability on trust of robot systems

    Munjal Desai;Mikhail Medvedev;Marynel Vazquez;Sean McSheehy

  • Investigating the Heart Pump Implant Decision Process: Opportunities for Decision Support Tools to Help

    Qian Yang;John Zimmerman;Aaron Steinfeld;Lisa Carey

  • Re-Embodiment and Co-Embodiment: Exploration of social presence for robots and conversational agents

    Michal Luria;Samantha Reig;Xiang Zhi Tan;Aaron Steinfeld

  • Helping visually impaired users properly aim a camera

    Marynel Vázquez;Aaron Steinfeld

  • Interface lessons for fully and semi-autonomous mobile robots

    A. Steinfeld

  • Towards Robot Autonomy in Group Conversations: Understanding the Effects of Body Orientation and Gaze

    Marynel Vazquez;Elizabeth J. Carter;Braden McDorman;Jodi Forlizzi

  • Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment

    Jiqian Dong;Sikai Chen;Sikai Chen;Yujie Li;Runjia Du

  • Creating Trustworthy Robots: Lessons and Inspirations from Automated Systems

    Munjal Desai;Kristen Stubbs;Aaron Steinfeld;Holly Yanco

  • Robot Presence and Human Honesty: Experimental Evidence

    Guy Hoffman;Jodi Forlizzi;Shahar Ayal;Aaron Steinfeld

  • RADAR: a personal assistant that learns to reduce email overload

    Michael Freed;Jaime Carbonell;Geoff Gordon;Jordan Hayes

  • Common metrics for human-robot interaction

    T. Fong;D. Kaber;M. Lewis;J. Scholtz

Frequent Co-Authors

John Zimmerman
John Zimmerman Carnegie Mellon University
Anthony Tomasic
Anthony Tomasic Carnegie Mellon University
Jodi Forlizzi
Jodi Forlizzi Carnegie Mellon University
Holly A. Yanco
Holly A. Yanco University of Massachusetts Lowell
Daniel P. Siewiorek
Daniel P. Siewiorek Carnegie Mellon University
Scott E. Hudson
Scott E. Hudson Carnegie Mellon University
Brad A. Myers
Brad A. Myers Carnegie Mellon University
Terrence Fong
Terrence Fong Ames Research Center
Michael A. Goodrich
Michael A. Goodrich Brigham Young University
Samuel Labi
Samuel Labi Purdue University West Lafayette

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