Adam Perer
Impact in
- Health Informatics top 1%
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- Data Visualization and Analytics
- Video Analysis and Summarization
Papers in
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- Data Visualization and Analytics 38
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- Explainable Artificial Intelligence (XAI) 12
- Co-authors
- Ben Shneiderman (8 shared papers)Josua Krause (3 shared papers)David Gotz (5 shared papers)Kenney Ng (3 shared papers)Frank van Ham (1 shared paper)Fei Wang (2 shared papers)Marc A. Smith (2 shared papers)Charles D. Stolper (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (9 papers)Proceedings of the ACM on Human-Computer Interaction (7 papers)Information Visualization (3 papers)Journal of Biomedical Informatics (2 papers)Journal of the American Medical Informatics Association (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Adam Perer
70 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 146
- Health Informatics 110
- Computer Vision and Pattern Recognition 1.3k
- Statistical and Nonlinear Physics 465
- Artificial Intelligence 1.1k
- Information Systems and Management 210
Countries citing papers authored by Adam Perer
This map shows the geographic impact of Adam Perer'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 Adam Perer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Perer more than expected).
Fields of papers citing papers by Adam Perer
This network shows the impact of papers produced by Adam Perer. 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 Adam Perer. The network helps show where Adam Perer may publish in the future.
Co-authors
The 25 scholars most cited alongside Adam Perer, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 324 | |
| 2 | 2016 | 241 | |
| 3 | 2009 | 147 | |
| 4 | 2014 | 140 | |
| 5 | 2006 | 139 | |
| 6 | 2014 | 106 | |
| 7 | 2008 | 105 | |
| 8 | 2014 | 96 | |
| 9 | 2017 | 93 | |
| 10 | 2022 | 88 | |
| 11 | 2014 | 78 | |
| 12 | 2012 | 74 | |
| 13 | 2023 | 73 | |
| 14 | 2015 | 71 | |
| 15 | 2016 | 69 | |
| 16 | 2015 | 59 | |
| 17 | 2013 | 55 | |
| 18 | 2010 | 52 | |
| 19 | MatrixFlow: temporal network visual analytics to track symptom evolution during disease progression. | 2012 | 50 |
| 20 | 2008 | 50 |
About Adam Perer
Adam Perer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems and Signal Processing, having authored 77 papers that have together received 2.9k indexed citations. Recurring topics across this work include Data Visualization and Analytics (38 papers), Complex Network Analysis Techniques (18 papers), Explainable Artificial Intelligence (XAI) (12 papers), Ethics and Social Impacts of AI (8 papers), Time Series Analysis and Forecasting (7 papers), Artificial Intelligence in Healthcare and Education (6 papers), Data Management and Algorithms (4 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Health Informatics (110 citations), Computer Vision and Pattern Recognition (1.3k citations), Statistical and Nonlinear Physics (465 citations), Artificial Intelligence (1.1k citations) and Information Systems and Management (210 citations). Adam Perer has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Ben Shneiderman, Josua Krause, David Gotz, Kenney Ng, Frank van Ham, Fei Wang, Marc A. Smith, Charles D. Stolper, Ido Guy and Enrico Bertini. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings of the ACM on Human-Computer Interaction, Information Visualization, Journal of Biomedical Informatics and Journal of the American Medical Informatics Association.
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.