World's Best Scientists 2026 revealed!
Fernanda B. Viégas

Fernanda B. Viégas

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 45 6970 6768 3049 2934 79 29719

Fernanda B. Viégas publications per year

The chart shows the history of publications by Fernanda B. Viégas between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Fernanda B. Viégas published across 27 years, from 1999 to 2025, averaging 3.9 papers a year. Output peaked at 10 publications in 2007. 11 of the 104 publications appeared in the last two years.

No. of publications
2 4 6 8 10
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 10. Peak 10 publications in 2007. 1999: 2 publications 2000: 0 publications 2001: 0 publications 2002: 1 publication 2003: 0 publications 2004: 6 publications 2005: 0 publications 2006: 7 publications 2007: 10 publications 2008: 9 publications 2009: 10 publications 2010: 5 publications 2011: 1 publication 2012: 2 publications 2013: 1 publication 2014: 0 publications 2015: 2 publications 2016: 2 publications 2017: 8 publications 2018: 4 publications 2019: 9 publications 2020: 2 publications 2021: 2 publications 2022: 1 publication 2023: 9 publications 2024: 4 publications 2025: 7 publications
1999 2025

104 publications in total across all disciplines

View publications per year as a table
Fernanda B. Viégas: publications per year, 1999 to 2025
Year Publications
1999 2
2000 0
2001 0
2002 1
2003 0
2004 6
2005 0
2006 7
2007 10
2008 9
2009 10
2010 5
2011 1
2012 2
2013 1
2014 0
2015 2
2016 2
2017 8
2018 4
2019 9
2020 2
2021 2
2022 1
2023 9
2024 4
2025 7
Total 104
Download as CSV

Fernanda B. Viégas 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 Fernanda B. Viégas 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: 79 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 79
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

Fernanda B. Viégas 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 Fernanda B. Viégas 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, 44–45 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: 45 D-Index — 51st percentile

51% 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
40–41 907
42–43 821
44–45 763 45
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

Fernanda B. Viégas is a researcher affiliated with Harvard University in the United States. Their academic work primarily falls within the field of Computer Science, with a particular emphasis on Artificial Intelligence, Computer Vision and Pattern Recognition, and Safety Research. They have also contributed to areas such as Human-Computer Interaction and General Social Sciences.

Their research covers several key topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Explainable Artificial Intelligence (XAI)
  • Data Visualization and Analytics
  • Ethics and Social Impacts of AI
  • Persona Design and Applications
  • Computational and Text Analysis Methods

Fernanda B. Viégas has co-authored numerous publications with several frequent collaborators. Notable co-authors include:

  • Martin Wattenberg (21 joint publications)
  • Kenneth Li (6 joint publications)
  • Yida Chen (5 joint publications)
  • Catherine Vance Yeh (4 joint publications)
  • Aoyu Wu (4 joint publications)

Their publications appear in a variety of venues, most often in arXiv (Cornell University), where they have 18 papers published. Other venues include:

  • IEEE Transactions on Visualization and Computer Graphics
  • IEEE Computer Graphics and Applications
  • Proceedings of the International AAAI Conference on Web and Social Media

Recent papers by Fernanda B. Viégas include:

  • "Just Say No to Single Embeddings: Why Your AI Needs Multiple Perspectives" (2025), published in arXiv (Cornell University)
  • "Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task" (2022), published in arXiv (Cornell University)
  • "AttentionViz: A Global View of Transformer Attention" (2023), published in IEEE Transactions on Visualization and Computer Graphics
  • "Inference-Time Intervention: Eliciting Truthful Answers from a Language Model" (2023), published in arXiv (Cornell University)
  • "An Interpretability Illusion for BERT" (2021), published in arXiv (Cornell University)

Their work engages deeply with aspects of AI interpretability, including the visualization of transformer attention mechanisms and interventions for improving language model outputs. This complements their contributions in developing techniques surrounding topic modeling, natural language processing, and ethical considerations in AI.

Best Publications

  • TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

    Martín Abadi;Ashish Agarwal;Paul Barham;Eugene Brevdo

  • Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

    Melvin Johnson;Mike Schuster;Quoc V. Le;Maxim Krikun

  • Studying cooperation and conflict between authors with history flow visualizations

    Fernanda B. Viégas;Martin Wattenberg;Kushal Dave

  • SmoothGrad: removing noise by adding noise

    Daniel Smilkov;Nikhil Thorat;Been Kim;Fernanda B. Viégas

  • ManyEyes: a Site for Visualization at Internet Scale

    F.B. Viegas;M. Wattenberg;F. van Ham;J. Kriss

  • How to Use t-SNE Effectively

    Martin Wattenberg;Fernanda Viégas;Ian Johnson

  • Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

    Been Kim;Martin Wattenberg;Justin Gilmer;Carrie Jun Cai

  • Participatory Visualization with Wordle

    F.B. Viegas;M. Wattenberg;J. Feinberg

  • Talk Before You Type: Coordination in Wikipedia

    F.B. Viegas;M. Wattenberg;J. Kriss;F. van Ham

  • The What-If Tool: Interactive Probing of Machine Learning Models

    James Wexler;Mahima Pushkarna;Tolga Bolukbasi;Martin Wattenberg

  • The Word Tree, an Interactive Visual Concordance

    M. Wattenberg;F.B. Viegas

  • Chat circles

    Fernanda B. Viégas;Judith S. Donath

  • Bloggers' Expectations of Privacy and Accountability: An Initial Survey

    Fernanda B. Viégas

  • Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

    Been Kim;Martin Wattenberg;Justin Gilmer;Carrie Cai

  • Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making

    Carrie J. Cai;Emily Reif;Narayan Hegde;Jason Hipp

  • Voyagers and voyeurs: supporting asynchronous collaborative information visualization

    Jeffrey Heer;Fernanda B. Viégas;Martin Wattenberg

  • Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow

    Kanit Wongsuphasawat;Daniel Smilkov;James Wexler;Jimbo Wilson

  • Deep Learning of Aftershock Patterns Following Large Earthquakes

    Phoebe M. R. DeVries;Phoebe M. R. DeVries;Fernanda Viégas;Martin Wattenberg;Brendan J. Meade

  • Parallel Tag Clouds to explore and analyze faceted text corpora

    Christopher Collins;Fernanda B. Viegas;Martin Wattenberg

  • Visualizing email content: portraying relationships from conversational histories

    Fernanda B. Viégas;Scott Golder;Judith Donath

  • Visualizing and Measuring the Geometry of BERT

    Emily Reif;Ann Yuan;Martin Wattenberg;Fernanda B. Viegas

Frequent Co-Authors

Martin Wattenberg
Martin Wattenberg Harvard University
Been Kim
Been Kim Google (United States)
Jeffrey Heer
Jeffrey Heer University of Washington
Brendan J. Meade
Brendan J. Meade Harvard University
Greg Corrado
Greg Corrado Google (United States)
Zhifeng Chen
Zhifeng Chen Google (United States)
Jeffrey Dean
Jeffrey Dean Google (United States)
Karrie Karahalios
Karrie Karahalios University of Illinois at Urbana-Champaign
D. Sculley
D. Sculley Google (United States)
Maneesh Agrawala
Maneesh Agrawala Stanford University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing Computer Science in the USA unlocks varied education and career options. For many, starting with an associate degree online is an accessible entry point. These flexible programs offer essential skills and a foundation for further study or immediate employment.

If you're looking to increase your value in the job market, consider programs listed among the most valuable masters degrees. These advanced degrees often focus on specialized areas like data science, artificial intelligence, or cybersecurity, which are in high demand across industries.

Budget is a key concern for many students. Exploring the most affordable online colleges can help reduce financial stress without sacrificing program quality. These institutions provide nationally recognized degrees at a fraction of the cost.

Lastly, don’t be discouraged by a lower academic record. You can find a college with low gpa acceptance criteria, making it possible to launch or continue your Computer Science journey.

Best Scientists Citing Fernanda B. Viégas

Trending Scientists

Recently Published Articles