World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
6381
World Ranking
8484
National Ranking
3629

Tiffany Barnes 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 Tiffany Barnes 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: 363 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Tiffany Barnes 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 Tiffany Barnes 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - ACM Distinguished Member

Overview

Tiffany Barnes is affiliated with North Carolina State University in the United States. Their research spans multiple domains within computer science and psychology, with a significant focus on areas including artificial intelligence and educational technology.

The scientist has published extensively, with notable frequent publication venues being:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • International Journal of Artificial Intelligence in Education
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2

Tiffany Barnes' main fields of study include:

  • Computer Science
  • Psychology

Within these, the subfields of study they focus on are:

  • Artificial Intelligence
  • Computer Science Applications
  • Developmental and Educational Psychology
  • Information Systems
  • Education

The core topics in their research work cover:

  • Intelligent Tutoring Systems and Adaptive Learning
  • Online Learning and Analytics
  • Innovative Teaching and Learning Methods
  • Teaching and Learning Programming
  • Reinforcement Learning in Robotics
  • Software Engineering Research
  • Gender and Technology in Education

Frequent co-authors collaborating with Barnes include:

  • Min Chi
  • Mark Abdelshiheed
  • Mehak Maniktala
  • Thomas Price
  • Preya Shabrina

Some recent publications by Tiffany Barnes are:

  • Adaptive Immediate Feedback for Block-Based Programming: Design and Evaluation, 2022, IEEE Transactions on Learning Technologies
  • A Socially Relevant Focused AI Curriculum Designed for Female High School Students, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Building a Virtual Community of Practice: Teacher Learning for Computational Thinking Infusion, 2022, TechTrends
  • How and When: The Impact of Metacognitive Knowledge Instruction and Motivation on Transfer Across Intelligent Tutoring Systems, 2023, International Journal of Artificial Intelligence in Education
  • Exploring Design Choices to Support Novices' Example Use During Creative Open-Ended Programming, 2022, Proceedings of the 53rd ACM Technical Symposium on Computer Science Education

Tiffany Barnes has been recognized as an ACM Distinguished Member since 2020.

Best Publications

  • The Q-matrix Method: Mining Student Response Data for Knowledge

    Tiffany Barnes

  • Comparing Textual and Block Interfaces in a Novice Programming Environment

    Thomas W. Price;Tiffany Barnes

  • Toward Automatic Hint Generation for Logic Proof Tutoring Using Historical Student Data

    Tiffany Barnes;John Stamper

  • Game2Learn: building CS1 learning games for retention

    Tiffany Barnes;Heather Richter;Eve Powell;Amanda Chaffin

  • Experimental evaluation of an educational game for improved learning in introductory computing

    Michael Eagle;Tiffany Barnes

  • Game2Learn: improving the motivation of CS1 students

    Tiffany Barnes;Eve Powell;Amanda Chaffin;Heather Lipford

  • Educational Data Mining

    Unknown

  • The beauty and joy of computing

    Dan Garcia;Brian Harvey;Tiffany Barnes

  • Experimental evaluation of teaching recursion in a video game

    Amanda Chaffin;Katelyn Doran;Drew Hicks;Tiffany Barnes

  • Understanding problem solving behavior of 6–8 graders in a debugging game

    Zhongxiu Liu;Rui Zhi;Andrew Hicks;Tiffany Barnes

  • Adaptive Immediate Feedback Can Improve Novice Programming Engagement and Intention to Persist in Computer Science

    Samiha Marwan;Ge Gao;Susan Fisk;Thomas W. Price

  • An integrated scenario management strategy

    T.A. Alspaugh;A.I. Anton;T. Barnes;B.W. Mott

  • Experimental evaluation of automatic hint generation for a logic tutor

    John C. Stamper;Michael Eagle;Tiffany Barnes;Marvin Croy

  • Wu's castle: teaching arrays and loops in a game

    Michael Eagle;Tiffany Barnes

  • Program representation for automatic hint generation for a data-driven novice programming tutor

    Wei Jin;Tiffany Barnes;John Stamper;Michael John Eagle

  • Improving retention and graduate recruitment through immersive research experiences for undergraduates

    Teresa Dahlberg;Tiffany Barnes;Audrey Rorrer;Eve Powell

  • MOOC learner behaviors by country and culture; An exploratory analysis

    Zhongxiu Liu;Rebecca Brown;Collin F. Lynch;Tiffany Barnes

  • Preface for the Special Issue on AI-Supported Education in Computer Science

    Tiffany Barnes;Kristy Boyer;Sharon I-Han Hsiao;Nguyen-Thinh Le

  • Use, Modify, Create: Comparing Computational Thinking Lesson Progressions for STEM Classes

    Nicholas Lytle;Veronica Cateté;Danielle Boulden;Yihuan Dong

  • cMotion: A New Game Design to Teach Emotion Recognition and Programming Logic to Children using Virtual Humans

    Samantha L. Finkelstein;Andrea Nickel;Lane Harrison;Evan A. Suma

  • Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education

    Michael E. Caspersen;Stephen H. Edwards;Tiffany Barnes;Daniel D. Garcia

  • Language to Completion: Success in an Educational Data Mining Massive Open Online Class

    Scott A. Crossley;Danielle S. McNamara;Ryan S. Baker;Yuan Wang

  • Evaluation of a Data-Driven Feedback Algorithm for Open-Ended Programming.

    Thomas W. Price;Rui Zhi;Tiffany Barnes

Frequent Co-Authors

Eric N. Wiebe
Eric N. Wiebe North Carolina State University
Danielle S. McNamara
Danielle S. McNamara Arizona State University
Evan A. Suma
Evan A. Suma University of Minnesota
Larry F. Hodges
Larry F. Hodges Clemson University
Scott A. Crossley
Scott A. Crossley Vanderbilt University
Sabarish V. Babu
Sabarish V. Babu Clemson University
Mladen A. Vouk
Mladen A. Vouk North Carolina State University
Ryan S. Baker
Ryan S. Baker University of Pennsylvania
Akos Ledeczi
Akos Ledeczi Vanderbilt University
Jeffrey M. Forbes
Jeffrey M. Forbes University of Colorado Boulder

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