Fernanda Viégas

23.1k citations
51 papers · 6.2k indexed · 6 hit papers · h-index 32

Fernanda Viégas

50 papers receiving 5.8k citations

Hit Papers

The What-If Tool: Interact...2942004202620112018250500750

Peers

Fernanda Viégas
Comparison fields: 5 of 193
  • Communication 923
  • Computer Vision and Pattern Recognition 2.4k
  • Computer Science Applications 536
  • Health Informatics 134
  • Artificial Intelligence 2.7k
Replace Martin Wattenberg with:
Martin Wattenberg United States
Éric Gilbert United States
Jaime Teevan United States
Noah A. Smith United States
Dan Jurafsky United States
Iryna Gurevych Germany
Deb Roy United States
Eduard Hovy United States
Ed H. United States
Jon Crowcroft United Kingdom
Fernanda Viégas relative to Martin Wattenberg United States Martin Wattenberg's profile →
Citations per field
00.5×1.5×
Martin Wattenberg · 1×
Citations per year

Countries citing papers authored by Fernanda Viégas

Since Specialization
Citations

This map shows the geographic impact of Fernanda Viégas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fernanda Viégas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernanda Viégas more than expected).

Fields of papers citing papers by Fernanda Viégas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernanda Viégas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fernanda Viégas. The network helps show where Fernanda Viégas may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Fernanda Viégas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fernanda Viégas Line = papers co-authored together Fernanda Viégas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 20230
3 2019123
4
Segment Integrated Gradients: Better attributions through regions.
20193
5
TensorFlow.js: Machine Learning for the Web and Beyond
20195
6
Visualizing and Measuring the Geometry of BERT
201970
7 2019222
8
Deep learning of aftershock patterns following large earthquakesbreakdown →
2018223
9 20102
10 20107
11 2009107
12 2009246
13 2008220
14
ManyEyes: a Site for Visualization at Internet Scalebreakdown →
2007484
15 2007237
16 2006153
17 200522
18 2004101
19 200492
20
Studying cooperation and conflict between authors with history flow visualizationsbreakdown →
2004528

About Fernanda Viégas

Fernanda Viégas is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Communication, Architecture and Statistical and Nonlinear Physics, having authored 51 papers that have together received 6.2k indexed citations. Recurring topics across this work include Data Visualization and Analytics (25 papers), Multimedia Communication and Technology (16 papers), Complex Network Analysis Techniques (8 papers), Video Analysis and Summarization (8 papers), Wikis in Education and Collaboration (5 papers), Usability and User Interface Design (5 papers), Topic Modeling (4 papers) and Digital Games and Media (3 papers). The work is most often cited by research in Communication (923 citations), Computer Vision and Pattern Recognition (2.4k citations), Computer Science Applications (536 citations), Health Informatics (134 citations) and Artificial Intelligence (2.7k citations). Fernanda Viégas has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Martin Wattenberg, Judith Donath, Frank van Ham, Kushal Dave, Ian Johnson, Matt McKeon, Nikhil Thorat, Greg S. Corrado, J. FEINBERG and Jeffrey Heer. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Computer-Mediated Communication, Leonardo, Transactions of the Association for Computational Linguistics and Nature.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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