World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6277
World Ranking
9782
National Ranking
4126

Mira Dontcheva 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 Mira Dontcheva 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: 78 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Mira Dontcheva 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 Mira Dontcheva 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Mira Dontcheva is affiliated with Adobe Systems in the United States, contributing to research in the fields of Computer Science and Social Sciences. Their work intersects multiple subfields, including Sociology and Political Science, Human-Computer Interaction, Computer Vision and Pattern Recognition, Communication, and Management Information Systems.

The scientist's recent publications focus notably on topics such as Digital Games and Media, Radio, Podcasts, and Digital Media, FinTech, Crowdfunding, and Digital Finance, Multimedia Communication and Technology, Digital Communication and Language, Innovative Human-Technology Interaction, and Persona Design and Applications.

Mira Dontcheva has authored several papers, including:

  • StreamSketch (2021), published in Proceedings of the ACM on Human-Computer Interaction
  • PodReels: Human-AI Co-Creation of Video Podcast Teasers (2024), presented at Designing Interactive Systems Conference
  • Yarn: Adding Meaning to Shared Personal Data through Structured Storytelling (2020), published by Canada Human-Computer Communications Society
  • CrowdFolio (2021), published in Proceedings of the ACM on Human-Computer Interaction
  • PodReels: Human-AI Co-Creation of Video Podcast Teasers (2023), available on arXiv (Cornell University)

Collaboration has played a role in their research, with frequent coauthors including Dingzeyu Li and Lydia B. Chilton, each having coauthored two papers with Dontcheva, as well as contributions alongside Zhicong Lu, Rubaiat Habib Kazi, and Li-Yi Wei.

The venues where Dontcheva's work has been published reflect a focus on human-computer interaction and interactive systems, with repeated contributions to the Proceedings of the ACM on Human-Computer Interaction, Designing Interactive Systems Conference, Canada Human-Computer Communications Society, and arXiv preprints.

Their multidisciplinary research addresses the interaction between humans and technology, applying methods and insights from social sciences and computer science domains, emphasizing areas such as multimedia communication, digital finance, and innovative approaches to storytelling and data representation.

Best Publications

  • Interactive digital photomontage

    Aseem Agarwala;Mira Dontcheva;Maneesh Agrawala;Steven Drucker

  • Two studies of opportunistic programming: interleaving web foraging, learning, and writing code

    Joel Brandt;Philip J. Guo;Joel Lewenstein;Mira Dontcheva

  • Example-centric programming: integrating web search into the development environment

    Joel Brandt;Mira Dontcheva;Marcos Weskamp;Scott R. Klemmer

  • DataTone: Managing Ambiguity in Natural Language Interfaces for Data Visualization

    Tong Gao;Mira Dontcheva;Eytan Adar;Zhicheng Liu

  • Layered acting for character animation

    Mira Dontcheva;Gary Yngve;Zoran Popović

  • Generating photo manipulation tutorials by demonstration

    Floraine Grabler;Maneesh Agrawala;Wilmot Li;Mira Dontcheva

  • Pause-and-play: automatically linking screencast video tutorials with applications

    Suporn Pongnumkul;Mira Dontcheva;Wilmot Li;Jue Wang

  • Data Illustrator: Augmenting Vector Design Tools with Lazy Data Binding for Expressive Visualization Authoring

    Zhicheng Liu;John Thompson;Alan Wilson;Mira Dontcheva

  • MatrixWave: Visual Comparison of Event Sequence Data

    Jian Zhao;Zhicheng Liu;Mira Dontcheva;Aaron Hertzmann

  • MixT: automatic generation of step-by-step mixed media tutorials

    Pei-Yu Chi;Sally Ahn;Amanda Ren;Mira Dontcheva

  • Patterns and Sequences: Interactive Exploration of Clickstreams to Understand Common Visitor Paths

    Zhicheng Liu;Yang Wang;Mira Dontcheva;Matthew Hoffman

  • Discovery-based games for learning software

    Tao Dong;Mira Dontcheva;Diana Joseph;Karrie Karahalios

  • Data-Driven Guides: Supporting Expressive Design for Information Graphics

    Nam Wook Kim;Eston Schweickart;Zhicheng Liu;Mira Dontcheva

  • Summarizing personal web browsing sessions

    Mira Dontcheva;Steven M. Drucker;Geraldine Wade;David Salesin

  • MixT: automatic generation of step-by-step mixed media tutorials

    Pei-Yu Chi;Sally Ahn;Amanda Ren;Björn Hartmann

  • Combining crowdsourcing and learning to improve engagement and performance

    Mira Dontcheva;Robert R. Morris;Joel R. Brandt;Elizabeth M. Gerber

  • Affective computational priming and creativity

    Sheena Lewis;Mira Dontcheva;Elizabeth Gerber

  • PixelTone: a multimodal interface for image editing

    Gierad P. Laput;Mira Dontcheva;Gregg Wilensky;Walter Chang

  • How to Resolve IP Aliases

    Neil Spring;Mira Dontcheva;Maya Rodrig;David Wetherall

  • No Code Required: Giving Users Tools to Transform the Web

    Allen Cypher;Mira Dontcheva;Tessa Lau;Jeffrey Nichols

  • DemoCut: generating concise instructional videos for physical demonstrations

    Pei-Yu Chi;Joyce Liu;Jason Linder;Mira Dontcheva

  • A Framework for content-adaptive photo manipulation macros: Application to face, landscape, and global manipulations

    Floraine Berthouzoz;Wilmot Li;Mira Dontcheva;Maneesh Agrawala

Frequent Co-Authors

Steven M. Drucker
Steven M. Drucker Microsoft (United States)
Wilmot Li
Wilmot Li Adobe Systems (United States)
David Salesin
David Salesin Google (United States)
Michael F. Cohen
Michael F. Cohen Facebook (United States)
Aaron Hertzmann
Aaron Hertzmann Adobe Systems (United States)
Scott R. Klemmer
Scott R. Klemmer University of California, San Diego
Eytan Adar
Eytan Adar University of Michigan–Ann Arbor
Maneesh Agrawala
Maneesh Agrawala Stanford University
Aseem Agarwala
Aseem Agarwala Adobe Systems (United States)
Elizabeth M. Gerber
Elizabeth M. Gerber Northwestern University

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