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Mira Dontcheva

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 39 9782 9501 4126 3954 78 6277

Mira Dontcheva publications per year

The chart shows the history of publications by Mira Dontcheva between 1998 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mira Dontcheva published across 29 years, from 1998 to 2026, averaging 3 papers a year. Output peaked at 11 publications in 2012. 5 of the 88 publications appeared in the last two years.

No. of publications
2 4 6 8 10
Bar chart. Horizontal axis: year, 1998 to 2026. Vertical axis: number of publications, 0 to 11. Peak 11 publications in 2012. 1998: 1 publication 1999: 0 publications 2000: 0 publications 2001: 1 publication 2002: 0 publications 2003: 1 publication 2004: 1 publication 2005: 1 publication 2006: 2 publications 2007: 1 publication 2008: 3 publications 2009: 8 publications 2010: 7 publications 2011: 3 publications 2012: 11 publications 2013: 6 publications 2014: 2 publications 2015: 4 publications 2016: 5 publications 2017: 6 publications 2018: 5 publications 2019: 7 publications 2020: 3 publications 2021: 2 publications 2022: 0 publications 2023: 2 publications 2024: 1 publication 2025: 2 publications 2026: 3 publications
1998 2026

88 publications in total across all disciplines

View publications per year as a table
Mira Dontcheva: publications per year, 1998 to 2026
Year Publications
1998 1
1999 0
2000 0
2001 1
2002 0
2003 1
2004 1
2005 1
2006 2
2007 1
2008 3
2009 8
2010 7
2011 3
2012 11
2013 6
2014 2
2015 4
2016 5
2017 6
2018 5
2019 7
2020 3
2021 2
2022 0
2023 2
2024 1
2025 2
2026 3
Total 88
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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.

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, 72–81 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: 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.

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 78
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
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
Download as CSV

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.

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, 38–39 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: 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.

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 39
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
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
Download as CSV

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

External Links

Personal website of Mira Dontcheva

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Related Online Degrees & Career Pathways

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Finally, those planning to pursue advanced degrees should research the best masters degree to get for high growth, salary potential, and industry demand in fields such as artificial intelligence, cybersecurity, or data science.

Best Scientists Citing Mira Dontcheva

Tovi Grossman

Tovi Grossman

University of Toronto

Publications: 38

Maneesh Agrawala

Maneesh Agrawala

Stanford University

Publications: 31

George Fitzmaurice

George Fitzmaurice

Autodesk (United States)

Publications: 31

Huamin Qu

Huamin Qu

Hong Kong University of Science and Technology

Publications: 24

Richard Szeliski

Richard Szeliski

University of Washington

Publications: 21

Brad A. Myers

Brad A. Myers

Carnegie Mellon University

Publications: 21

Bongshin Lee

Bongshin Lee

Microsoft (United States)

Publications: 20

John Stasko

John Stasko

Georgia Institute of Technology

Publications: 19

Shmuel Peleg

Shmuel Peleg

Hebrew University of Jerusalem

Publications: 18

Dongmei Zhang

Dongmei Zhang

Microsoft (United States)

Publications: 18

Björn Hartmann

Björn Hartmann

University of California, Berkeley

Publications: 18

Scott R. Klemmer

Scott R. Klemmer

University of California, San Diego

Publications: 17

Kari Pulli

Kari Pulli

MIT

Publications: 17

Kurt Akeley

Kurt Akeley

RaytriX

Publications: 16

Wilmot Li

Wilmot Li

Adobe Systems (United States)

Publications: 16

Michael S. Bernstein

Michael S. Bernstein

Stanford University

Publications: 15

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