World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
4528
World Ranking
11369
National Ranking
4678

Alyssa Friend Wise 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 Alyssa Friend Wise 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: 113 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Alyssa Friend Wise 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 Alyssa Friend Wise 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Alyssa Friend Wise is affiliated with Vanderbilt University in the United States and has contributed to research primarily in the field of Computer Science with a focus on computer science applications, developmental and educational psychology, education, information systems, and artificial intelligence.

Their work centers extensively on topics related to online learning and analytics, innovative teaching and learning methods, e-learning and knowledge management, explainable artificial intelligence, artificial intelligence in healthcare and education, student assessment and feedback, and educational assessment and improvement.

Frequent co-authors in their research include Yeonji Jung, Xavier Ochôa, Inge Molenaar, Simon Knight, and Qiujie Li. Alyssa Friend Wise has published in multiple venues, notably:

  • Journal of Learning Analytics
  • Journal of Computing in Higher Education
  • Educational Technology Research and Development
  • British Journal of Educational Technology
  • Interactive Learning Environments

Recent papers authored or co-authored by Alyssa Friend Wise are:

  • What Makes Learning Analytics Research Matter, 2021, Journal of Learning Analytics
  • Supporting the shift to digital with student-centered learning analytics, 2020, Educational Technology Research and Development
  • The equalizing effect of teacher dashboards on feedback in K-12 classrooms, 2021, Interactive Learning Environments
  • Learning Analytics Impact: Critical Conversations on Relevance and Social Responsibility, 2020, Journal of Learning Analytics
  • Advancing equity and inclusion in educational practices with AI-powered educational decision support systems (AI-EDSS), 2024, British Journal of Educational Technology

Best Publications

  • Handbook of Learning Analytics

    Charles Lang;George Siemens;Alyssa Wise;Dragan Gasevic

  • Designing pedagogical interventions to support student use of learning analytics

    Alyssa Friend Wise

  • Why Theory Matters More than Ever in the Age of Big Data

    Alyssa Friend Wise;David Williamson Shaffer

  • Visions of CSCL: eight provocations for the future of the field

    Alyssa Friend Wise;Baruch B. Schwarz

  • Getting Down to Details: Using Theories of Cognition and Learning to Inform Tangible User Interface Design

    Alissa Nicole Antle;Alyssa Friend Wise

  • Broadening the notion of participation in online discussions: examining patterns in learners’ online listening behaviors

    Alyssa Friend Wise;Jennifer Speer;Farshid Marbouti;Ying Ting Hsiao

  • Analyzing temporal patterns of knowledge construction in a role-based online discussion

    Alyssa Friend Wise;Ming Ming Chiu

  • Teaching with analytics: Towards a situated model of instructional decision-making

    Alyssa Friend Wise;Yeonji Jung

  • Learning Analytics for Online Discussions: Embedded and Extracted Approaches

    Alyssa Friend Wise;Yuting Zhao;Simone Nicole Hausknecht

  • Time for Change: Why Learning Analytics Needs Temporal Analysis

    Simon Knight;Alyssa Friend Wise;Bodong Chen

  • Attending to others’ posts in asynchronous discussions: Learners’ online “listening” and its relationship to speaking

    Alyssa Friend Wise;Simone Nicole Hausknecht;Yuting Zhao

  • Learning communities in the crowd: Characteristics of content related interactions and social relationships in MOOC discussion forums

    Alyssa Friend Wise;Yi Cui

  • Mining for gold: Identifying content-related MOOC discussion threads across domains through linguistic modeling

    Alyssa Friend Wise;Yi Cui;Wan Qi Jin;Jovita M. Vytasek

  • Learning Analytics in Medical Education Assessment: The Past, the Present, and the Future

    Teresa Chan;Stefanie Sebok-Syer;Brent Thoma;Alyssa Wise

  • Towards more precise design guidance: specifying and testing the functions of assigned student roles in online discussions

    Alyssa Friend Wise;Marzieh Saghafian;Poornima Padmanabhan

  • Learning analytics for online discussions: a pedagogical model for intervention with embedded and extracted analytics

    Alyssa Friend Wise;Yuting Zhao;Simone Nicole Hausknecht

  • Microanalytic Case studies of Individual Participation Patterns in an Asynchronous Online Discussion in an Undergraduate Blended Course

    Alyssa Friend Wise;Nishan Perera;Ying Ting Hsiao;Jennifer Speer

  • Developing Learning Analytics Design Knowledge in the "Middle Space": The Student Tuning Model and Align Design Framework for Learning Analytics Use

    Alyssa Friend Wise;Jovita Maria Vytasek;Simone Hausknecht;Yuting Zhao

  • Learning analytics implementation design

    Alyssa Wise;J.M. Vytasek

  • Youtopia: a collaborative, tangible, multi-touch, sustainability learning activity

    Alissa N. Antle;Alyssa F. Wise;Amanda Hall;Saba Nowroozi

  • Bringing order to chaos in MOOC discussion forums with content-related thread identification

    Alyssa Friend Wise;Yi Cui;Jovita Vytasek

  • Educating Data Scientists and Data Literate Citizens for a New Generation of Data.

    Alyssa Friend Wise

Frequent Co-Authors

Alissa N. Antle
Alissa N. Antle Simon Fraser University
Ming Ming Chiu
Ming Ming Chiu University of Hong Kong
Trena M. Paulus
Trena M. Paulus East Tennessee State University
Inge Molenaar
Inge Molenaar Radboud University
Carolyn Penstein Rosé
Carolyn Penstein Rosé Carnegie Mellon University
Baruch B. Schwarz
Baruch B. Schwarz Hebrew University of Jerusalem
Curtis J. Bonk
Curtis J. Bonk Indiana University
Cindy E. Hmelo-Silver
Cindy E. Hmelo-Silver Indiana University
David Williamson Shaffer
David Williamson Shaffer University of Wisconsin–Madison
Jonathan Sherbino
Jonathan Sherbino McMaster University

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