Fernanda Viégas

23.1k citations
52 papers · 6.3k · 6 hit papers · h-index 32

Impact in

Papers in

Fernanda Viégas

51 papers receiving 5.9k citations

Fernanda Viégas's Hit Papers

The What-If Tool: Interactive Probing of Machine Learning Models 2019 · 312 citations
3120+7+14Years since publication250500750

Peers

Fernanda Viégas
Comparison fields: 5 of 192
  • Communication 925
  • Computer Vision and Pattern Recognition 2.4k
  • Health Informatics 136
  • Computer Science Applications 539
  • Artificial Intelligence 2.7k
Replace Mor Naaman with:
Mor Naaman United States
Martin Wattenberg United States
Éric Gilbert United States
Noah A. Smith United States
Jaime Teevan United States
Dan Jurafsky United States
Iryna Gurevych Germany
Eduard Hovy United States
Ed H. United States
Diyi Yang United States
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Citations per field
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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-authors

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

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Hit paper breakdown →
2017912
2
Studying cooperation and conflict between authors with history flow visualizations
Hit paper breakdown →
2004529
3
How to Use t-SNE Effectively
Hit paper breakdown →
2016521
4
ManyEyes: a Site for Visualization at Internet Scale
Hit paper breakdown →
2007488
5
The What-If Tool: Interactive Probing of Machine Learning Models
Hit paper breakdown →
2019312
6 2009248
7 2019242
8 2007238
9
Deep learning of aftershock patterns following large earthquakes
Hit paper breakdown →
2018231
10 2017225
11 2008222
12 2007184
13 2009173
14 1999157
15 2006152
16 2006145
17 2008134
18 2019128
19 2018122
20 2009108

About Fernanda Viégas

Fernanda Viégas is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Artificial Intelligence, Statistical and Nonlinear Physics and Human-Computer Interaction, having authored 52 papers that have together received 6.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (25 papers), Multimedia Communication and Technology (16 papers), Video Analysis and Summarization (8 papers), Complex Network Analysis Techniques (8 papers), Wikis in Education and Collaboration (5 papers), Usability and User Interface Design (5 papers), Topic Modeling (4 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Communication (925 citations), Computer Vision and Pattern Recognition (2.4k citations), Health Informatics (136 citations), Computer Science Applications (539 citations) and Artificial Intelligence (2.7k citations). Fernanda Viégas has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Martin Wattenberg, Judith Donath, Frank van Ham, Kushal Dave, Ian Johnson, Matt McKeon, Nikhil Thorat, Greg S. Corrado, Tolga Bolukbasi and J. FEINBERG. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Computer-Mediated Communication, Communications of the ACM, Queue and interactions.

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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