Arvind Satyanarayan
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- Data Visualization and Analytics 25
- Video Analysis and Summarization 7
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- Scientific Computing and Data Management 3
- Human-Computer Interaction top 2%
- Health Informatics top 5%
- Artificial Intelligence top 2%
- Explainable Artificial Intelligence (XAI) 3
- Semantic Web and Ontologies 3
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- Multimedia Communication and Technology 10
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- Software Engineering Research 8
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- Tactile and Sensory Interactions 3
- Co-authors
- Jeffrey HeerKanit WongsuphasawatDominik MoritzJane HoffswellRyan P. RussellAlexander MordvintsevShan CarterLudwig Schubert
- Cited by
- Computer Vision and Pattern RecognitionInformation Systems and ManagementHuman-Computer Interaction
- Journals
- IEEE Transactions on Visualization and Computer Graphics (10 papers)Computer Graphics Forum (5 papers)Big Data & Society (1 paper)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Arvind Satyanarayan
37 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 1.2k
- Information Systems and Management 243
- Human-Computer Interaction 172
- Health Informatics 31
- Artificial Intelligence 668
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | Designing for Semi-Formal Programming with Foundation Models | 2024 | 1 |
| 8 | 2024 | 2 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 3 | |
| 17 | 2022 | 34 | |
| 18 | 2022 | 45 | |
| 19 | 2020 | 32 | |
| 20 | 2018 | 126 |
About Arvind Satyanarayan
Arvind Satyanarayan is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Human Factors and Ergonomics, Health Informatics and Information Systems and Management, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Data Visualization and Analytics (25 papers), Multimedia Communication and Technology (10 papers), Software Engineering Research (8 papers), Video Analysis and Summarization (7 papers), Explainable Artificial Intelligence (XAI) (3 papers), Semantic Web and Ontologies (3 papers), Tactile and Sensory Interactions (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Information Systems and Management (243 citations), Human-Computer Interaction (172 citations), Health Informatics (31 citations) and Artificial Intelligence (668 citations). Arvind Satyanarayan has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Jeffrey Heer, Kanit Wongsuphasawat, Dominik Moritz, Jane Hoffswell, Ryan P. Russell, Alexander Mordvintsev, Shan Carter, Ludwig Schubert, Chris Olah and Ian Johnson. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Big Data & Society, Scopus (Elsevier) and CHI Conference on Human Factors in Computing Systems.
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.