World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
7123
World Ranking
11518
National Ranking
4733

Paulo Blikstein 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 Paulo Blikstein 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: 180 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Paulo Blikstein 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 Paulo Blikstein 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

Paulo Blikstein is affiliated with Columbia University in the United States. Their research spans the fields of Computer Science and Social Sciences, with specific focus on applications in these areas and intersections with Sociology, Political Science, Developmental and Educational Psychology, Education, and Communication.

Their contributions cover various topics including:

  • Teaching and Learning Programming
  • Innovative Teaching and Learning Methods
  • Misinformation and Its Impacts
  • Statistics Education and Methodologies
  • Online Learning and Analytics
  • Social Media and Politics
  • Genetics, Bioinformatics, and Biomedical Research

Blikstein has co-authored numerous publications alongside frequent collaborators such as Leah F. Rosenbaum, Tamar Fuhrmann, Renato Russo, Adelmo Eloy, and Michelle Hoda Wilkerson.

Their recent papers include:

  • EDUCAÇÃO MAKER: ONDE ESTÁ O CURRÍCULO? (2020), Revista e-Curriculum
  • Scientific Inquiry in Middle Schools by combining Computational Thinking, Wet Lab Experiments, and Liquid Handling Robots (2021), Interaction Design and Children
  • Teaching With Hapkit: Enabling Online Haptics Courses With Hands-On Laboratories (2020), IEEE Robotics & Automation Magazine
  • DIY liquid handling robots for integrated STEM education and life science research (2022), PLoS ONE
  • MoDa: Designing a Tool to Interweave Computational Modeling with Real-world Data Analysis for Science Learning in Middle School (2022), Interaction Design and Children

The venues in which Blikstein has published most frequently include:

  • Proceedings.
  • Interaction Design and Children
  • Constructionism Conference Proceedings
  • Journal of Science Education and Technology
  • Educational Technology Research and Development

In addition to articles, Blikstein has contributed to book publications. Notably, they authored Makers at School, Educational Robotics and Innovative Learning Environments (2021), published by Springer International Publishing.

Best Publications

  • Digital Fabrication and Making' in Education: The Democratization of Invention

    Paulo Blikstein

  • Multimodal Learning Analytics and Education Data Mining: Using computational technologies to measure complex learning tasks

    Paulo Blikstein;Paulo Blikstein;Marcelo Aaron Bonilla Worsley

  • Using learning analytics to assess students' behavior in open-ended programming tasks

    Paulo Blikstein

  • Educational Data Mining and Learning Analytics: Applications to Constructionist Research.

    Matthew Berland;Ryan S. Baker;Paulo Blikstein

  • Multimodal learning analytics

    Paulo Blikstein

  • Programming Pluralism: Using Learning Analytics to Detect Patterns in the Learning of Computer Programming

    Paulo Blikstein;Marcelo Worsley;Chris Piech;Mehran Sahami

  • The makers' movement and FabLabs in education: experiences, technologies, and research

    Paulo Blikstein;Dennis Krannich

  • Modeling how students learn to program

    Chris Piech;Mehran Sahami;Daphne Koller;Steve Cooper

  • Gears of our childhood: constructionist toolkits, robotics, and physical computing, past and future

    Paulo Blikstein

  • Children Are Not Hackers: Building a Culture of Powerful Ideas, Deep Learning, and Equity in the Maker Movement.

    Paulo Blikstein;Marcelo Aaron Bonilla Worsley

  • An Atom is Known by the Company it Keeps: A Constructionist Learning Environment for Materials Science Using Agent-Based Modeling

    Paulo Blikstein;Uri Wilensky

  • An Assessment Instrument of Technological Literacies in Makerspaces and FabLabs

    Paulo Blikstein;Zaza Kabayadondo;Andrew Martin;Deborah A. Fields

  • Preparing for Future Learning with a Tangible User Interface: The Case of Neuroscience

    B. Schneider;J. Wallace;P. Blikstein;R. Pea

  • GoGo board: augmenting programmable bricks for economically challenged audiences

    Arnan Sipitakiat;Paulo Blikstein;David P. Cavallo

  • Unraveling Students’ Interaction Around a Tangible Interface using Multimodal Learning Analytics

    Bertrand Schneider;Paulo Blikstein

  • Towards the development of multimodal action based assessment

    Marcelo Worsley;Paulo Blikstein

  • Learning Analytics: From Big Data to Meaningful Data

    Agathe Merceron;Paulo Blikstein;George Siemens

  • Leveraging multimodal learning analytics to differentiate student learning strategies

    Marcelo Worsley;Paulo Blikstein

  • Trap it!: A Playful Human-Biology Interaction for a Museum Installation

    Seung Ah Lee;Engin Bumbacher;Alice M. Chung;Nate Cira

  • Digital Fabrication and ‘Making’ in Education

    Paulo Blikstein

  • Interactive and scalable biology cloud experimentation for scientific inquiry and education

    Zahid Hossain;Engin W Bumbacher;Alice M Chung;Honesty Kim

  • LightUp: an augmented, learning platform for electronics

    Joshua Chan;Tarun Pondicherry;Paulo Blikstein

Frequent Co-Authors

Uri Wilensky
Uri Wilensky Northwestern University
Richard L. Davis
Richard L. Davis University of California, San Francisco
Roy D. Pea
Roy D. Pea Stanford University
Allison M. Okamura
Allison M. Okamura Stanford University
Ryan S. Baker
Ryan S. Baker University of Pennsylvania
Mehran Sahami
Mehran Sahami Stanford University
Daphne Koller
Daphne Koller insitro Inc.
Yasmin B. Kafai
Yasmin B. Kafai University of Pennsylvania
Janet C. Read
Janet C. Read University of Central Lancashire
Carl E. Wieman
Carl E. Wieman Stanford University

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