Arvind Satyanarayan

3.8k citations
42 papers · 1.9k · 2 hit papers · h-index 19

Impact in

Papers in

Arvind Satyanarayan

37 papers receiving 1.9k citations

Arvind Satyanarayan's Hit Papers

The Building Blocks of Interpretability 2018 · 295 citations
2950+3+6Years since publication100200300400500

Peers

Arvind Satyanarayan
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
Replace Enrico Bertini with:
Enrico Bertini United States
Kanit Wongsuphasawat United States
James Eagan France
Dominik Moritz United States
Eser Kandogan United States
Fanny Chevalier Canada
Zhicheng Liu United States
Alex Endert United States
Carsten Görg United States
Arvind Satyanarayan relative to Enrico Bertini United States Enrico Bertini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Arvind Satyanarayan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Vega-Lite: A Grammar of Interactive Graphics
Hit paper breakdown →
2016501
2
The Building Blocks of Interpretability
Hit paper breakdown →
2018295
3 2015171
4 2014142
5 2018126
6 201493
7 201390
8 201469
9 201960
10 202047
11 202245
12 201835
13 202234
14 202234
15 202032
16 202029
17 202320
18 201620
19 202218
20 202213

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 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), Scientific Computing and Data Management (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Semantic Web and Ontologies (3 papers) and Tactile and Sensory Interactions (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, United Kingdom and Denmark. Frequent co-authors include Jeffrey Heer, Kanit Wongsuphasawat, Dominik Moritz, Jane Hoffswell, Ryan P. Russell, Ian Johnson, Ludwig Schubert, Shan Carter, Alexander Mordvintsev and Chris Olah. 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.

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