World's Best Scientists 2026 revealed!
Matthias Scheutz

Matthias Scheutz

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 59 3497 3400 1683 1624 353 10137

Matthias Scheutz publications per year

The chart shows the history of publications by Matthias Scheutz between 1998 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Matthias Scheutz published across 28 years, from 1998 to 2025, averaging 15.6 papers a year. Output peaked at 41 publications in 2017. 39 of the 438 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1998 to 2025. Vertical axis: number of publications, 0 to 41. Peak 41 publications in 2017. 1998: 1 publication 1999: 2 publications 2000: 2 publications 2001: 7 publications 2002: 7 publications 2003: 11 publications 2004: 13 publications 2005: 13 publications 2006: 12 publications 2007: 13 publications 2008: 10 publications 2009: 13 publications 2010: 16 publications 2011: 17 publications 2012: 18 publications 2013: 16 publications 2014: 23 publications 2015: 17 publications 2016: 29 publications 2017: 41 publications 2018: 27 publications 2019: 16 publications 2020: 16 publications 2021: 21 publications 2022: 25 publications 2023: 13 publications 2024: 17 publications 2025: 22 publications
1998 2025

438 publications in total across all disciplines

View publications per year as a table
Matthias Scheutz: publications per year, 1998 to 2025
Year Publications
1998 1
1999 2
2000 2
2001 7
2002 7
2003 11
2004 13
2005 13
2006 12
2007 13
2008 10
2009 13
2010 16
2011 17
2012 18
2013 16
2014 23
2015 17
2016 29
2017 41
2018 27
2019 16
2020 16
2021 21
2022 25
2023 13
2024 17
2025 22
Total 438
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Matthias Scheutz 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 Matthias Scheutz sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 352–361 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 353 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162 353
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
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Matthias Scheutz 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 Matthias Scheutz sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 58–59 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400 59
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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Overview

Matthias Scheutz is affiliated with Tufts University in the United States and has a significant body of research primarily within the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Social Psychology, Cognitive Neuroscience, Control and Systems Engineering, and Computer Vision and Pattern Recognition.

The research of Matthias Scheutz covers a range of topics, with a particular focus on:

  • Social Robot Interaction and Human-Robot Interaction (HRI)
  • Reinforcement Learning in Robotics
  • Ethics and Social Impacts of Artificial Intelligence
  • AI-based Problem Solving and Planning
  • Speech and dialogue systems
  • Robot Manipulation and Learning
  • Domain Adaptation and Few-Shot Learning

Their recent publications include:

  • "Spoken language interaction with robots: Recommendations for future research" (2021) published in Computer Speech & Language
  • "The Interplay Between Emotional Intelligence, Trust, and Gender in Human-Robot Interaction" (2020) published in International Journal of Social Robotics
  • "A Touching Connection: How Observing Robotic Touch Can Affect Human Trust in a Robot" (2021) published in International Journal of Social Robotics
  • "Cognitive cascades: How to model (and potentially counter) the spread of fake news" (2022) published in PLoS ONE
  • "An Attachment Framework for Human-Robot Interaction" (2021) published in International Journal of Social Robotics

Frequent co-authors collaborating with Matthias Scheutz are Theresa Law, Shuchin Aeron, Meia Chita-Tegmark, Boyang Lyu, and Prakash Ishwar.

Their work has been disseminated through various publication venues, with the most frequent being:

  • arXiv (Cornell University)
  • ACM Transactions on Human-Robot Interaction
  • International Journal of Social Robotics
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Access

Best Publications

  • Development environments for autonomous mobile robots: A survey

    James Kramer;Matthias Scheutz

  • Mapping the Landscape of Human-Level Artificial General Intelligence

    Sam S. Adams;Itamar Arel;Joscha Bach;Robert Coop

  • Robot social presence and gender: do females view robots differently than males?

    Paul Schermerhorn;Matthias Scheutz;Charles R. Crowell

  • What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal management and action execution

    Juraj Dzifcak;Matthias Scheutz;Chitta Baral;Paul Schermerhorn

  • First steps toward natural human-like HRI

    Matthias Scheutz;Paul Schermerhorn;James Kramer;David Anderson

  • The Architectural Basis of Affective States and Processes

    Aaron Sloman;Ron Chrisley;Matthias Scheutz

  • Assistive Robots for the Social Management of Health: A Framework for Robot Design and Human-Robot Interaction Research.

    Meia Chita-Tegmark;Matthias Scheutz

  • The utility of affect expression in natural language interactions in joint human-robot tasks

    Matthias Scheutz;Paul Schermerhorn;James Kramer

  • What we can and cannot (yet) do with functional near infrared spectroscopy

    Megan K. Strait;Matthias Scheutz

  • Brainput: enhancing interactive systems with streaming fnirs brain input

    Erin Solovey;Paul Schermerhorn;Matthias Scheutz;Angelo Sassaroli

  • Interactive Task Learning

    John E. Laird;Kevin Gluck;John Anderson;Kenneth D. Forbus

  • Planning for human-robot teaming in open worlds

    Kartik Talamadupula;J. Benton;Subbarao Kambhampati;Paul Schermerhorn

  • When Physical Systems Realize Functions...

    Matthias Scheutz

  • Computationalism: New Directions

    Matthias Scheutz

  • Let me tell you! investigating the effects of robot communication strategies in advice-giving situations based on robot appearance, interaction modality and distance

    Megan Strait;Cody Canning;Matthias Scheutz

  • Incremental natural language processing for HRI

    Timothy Brick;Matthias Scheutz

  • Tell me when and why to do it!: run-time planner model updates via natural language instruction

    Rehj Cantrell;J. Benton;Kartik Talamadupula;Subbarao Kambhampati

  • Useful roles of emotions in artificial agents: a case study from artificial life

    Matthias Scheutz

  • How Robots Can Affect Human Behavior: Investigating the Effects of Robotic Displays of Protest and Distress

    Gordon Briggs;Matthias Scheutz

  • The “big red button” is too late: an alternative model for the ethical evaluation of AI systems

    Thomas Arnold;Matthias Scheutz

  • Moral competence in social robots

    Bertram F. Malle;Matthias Scheutz

  • Value Alignment or Misalignment – What Will Keep Systems Accountable?

    Thomas Arnold;Daniel Kasenberg;Matthias Scheutz

Frequent Co-Authors

Bertram F. Malle
Bertram F. Malle Brown University
Subbarao Kambhampati
Subbarao Kambhampati Arizona State University
Aaron Sloman
Aaron Sloman University of Birmingham
Michael Beetz
Michael Beetz University of Bremen
Michael Levin
Michael Levin Tufts University
Bennett I. Bertenthal
Bennett I. Bertenthal Indiana University
Yiannis Demiris
Yiannis Demiris Imperial College London
Chen Yu
Chen Yu The University of Texas at Austin
Kerstin Dautenhahn
Kerstin Dautenhahn University of Waterloo
Ronald C. Arkin
Ronald C. Arkin Georgia Institute of Technology

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