Fernanda Viégas

52 papers receiving 7.1k citations

Fernanda Viégas's Hit Papers

The What-If Tool: Interactive Probing of Machine Learning Models 2019 · 364 citations
3640+7+14Years since publication2505007501000

Peers

Fernanda Viégas
Comparison fields: 5 of 197
  • Communication 1.2k
  • Computer Vision and Pattern Recognition 2.9k
  • Health Informatics 181
  • Computer Science Applications 717
  • Artificial Intelligence 3.3k
Replace Mor Naaman with:
Mor Naaman United States
Karrie G. Karahalios United States
MARTIN P. WATTENBERG United States
Éric Gilbert United States
Jaime B. Teevan United States
Nigel Shadbolt United Kingdom
Noah A. Smith United States
Wolfgang Nejdl Germany
Iryna Gurevych Germany
Dan Jurafsky United States
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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 54 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 →
20171125
2
Studying cooperation and conflict between authors with history flow visualizations
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2004602
3
How to Use t-SNE Effectively
Hit paper breakdown →
2016584
4
ManyEyes: a Site for Visualization at Internet Scale
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2007564
5
The What-If Tool: Interactive Probing of Machine Learning Models
Hit paper breakdown →
2019364
6 2009298
7 2019297
8 2007270
9 2017258
10 2008250
11
Deep learning of aftershock patterns following large earthquakes
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2018245
12 2007214
13 2009194
14 1999185
15 2006169
16 2006163
17 2008158
18 2018157
19 2019146
20 2007132

About Fernanda Viégas

Fernanda Viégas is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Communication, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 54 papers that have together received 7.7k indexed citations. Recurring topics across this work include Data Visualization and Analytics (28 papers), Multimedia Communication and Technology (16 papers), Video Analysis and Summarization (9 papers), Wikis in Education and Collaboration (7 papers), Complex Network Analysis Techniques (7 papers), Usability and User Interface Design (6 papers), Digital Games and Media (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Communication (1.2k citations), Computer Vision and Pattern Recognition (2.9k citations), Health Informatics (181 citations), Computer Science Applications (717 citations) and Artificial Intelligence (3.3k citations). Fernanda Viégas has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include MARTIN P. WATTENBERG, Judith S. Donath, Frank van Ham, Kushal S. Dave, Ian Johnson, Nikhil Thorat, Greg S. Corrado, Matt McKeon, Jeffrey Heer and J. FEINBERG. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Computer-Mediated Communication, IBM Systems Journal, 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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