Arvind Satyanarayan
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
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- Scientific Computing and Data Management
Papers in
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- Data Visualization and Analytics 29
- Video Analysis and Summarization 10
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- Topic Modeling 6
- Natural Language Processing Techniques 4
- Semantic Web and Ontologies 4
- Co-authors
- Jeffrey Heer (11 shared papers)Kanit Wongsuphasawat (3 shared papers)Dominik Moritz (3 shared papers)Jane Hoffswell (4 shared papers)Chris Olah (1 shared paper)Ian Johnson (1 shared paper)Ludwig Schubert (1 shared paper)Shan Carter (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (11 papers)Computer Graphics Forum (5 papers)Big Data & Society (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)ArXiv.org (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Arvind Satyanarayan
47 papers receiving 2.4k citations
Arvind Satyanarayan's Hit Papers
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 1.5k
- Information Systems and Management 270
- Human-Computer Interaction 202
- Health Informatics 41
- Artificial Intelligence 939
Countries citing papers authored by Arvind Satyanarayan
This map shows the geographic impact of Arvind Satyanarayan'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 Arvind Satyanarayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Satyanarayan more than expected).
Fields of papers citing papers by Arvind Satyanarayan
This network shows the impact of papers produced by Arvind Satyanarayan. 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 Arvind Satyanarayan. The network helps show where Arvind Satyanarayan may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Satyanarayan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Vega-Lite: A Grammar of Interactive Graphics Hit paper breakdown → | 2016 | 561 |
| 2 | The Building Blocks of Interpretability Hit paper breakdown → | 2018 | 340 |
| 3 | 2015 | 192 | |
| 4 | 2014 | 151 | |
| 5 | 2018 | 138 | |
| 6 | 2019 | 103 | |
| 7 | 2013 | 103 | |
| 8 | 2014 | 99 | |
| 9 | Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content | 2022 | 80 |
| 10 | 2014 | 76 | |
| 11 | 2019 | 63 | |
| 12 | 2019 | 63 | |
| 13 | 2020 | 54 | |
| 14 | 2022 | 53 | |
| 15 | 2022 | 43 | |
| 16 | 2018 | 42 | |
| 17 | 2022 | 37 | |
| 18 | 2020 | 35 | |
| 19 | 2020 | 33 | |
| 20 | 2023 | 29 |
About Arvind Satyanarayan
Arvind Satyanarayan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Information Systems and Human-Computer Interaction, having authored 53 papers that have together received 2.5k indexed citations. Recurring topics across this work include Data Visualization and Analytics (29 papers), Multimedia Communication and Technology (10 papers), Video Analysis and Summarization (10 papers), Software Engineering Research (8 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers), Semantic Web and Ontologies (4 papers) and Tactile and Sensory Interactions (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Information Systems and Management (270 citations), Human-Computer Interaction (202 citations), Health Informatics (41 citations) and Artificial Intelligence (939 citations). Arvind Satyanarayan has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Jeffrey Heer, Kanit Wongsuphasawat, Dominik Moritz, Jane Hoffswell, Chris Olah, Ian Johnson, Ludwig Schubert, Shan Carter, Alexander Mordvintsev and Ryan P. Russell. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Big Data & Society, HAL (Le Centre pour la Communication Scientifique Directe) and ArXiv.org.
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.