Adam Perer
Impact in
- Health Informatics top 1%
-
- Data Visualization and Analytics
- Video Analysis and Summarization
Papers in
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- Artificial Intelligence in Healthcare and Education 6
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- Data Visualization and Analytics 38
- Co-authors
- Ben ShneidermanJosua KrauseDavid GotzKenney NgFei WangFrank van HamMarc A. SmithCharles D. Stolper
- 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)CHEST Journal (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Adam Perer
69 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 146
- Health Informatics 107
- Computer Vision and Pattern Recognition 1.3k
- Statistical and Nonlinear Physics 464
- Artificial Intelligence 1.1k
- Information Systems and Management 205
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 11 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 21 | |
| 8 | 2020 | 17 | |
| 9 | 2019 | 28 | |
| 10 | 2015 | 71 | |
| 11 | 2014 | 78 | |
| 12 | 2014 | 136 | |
| 13 | 2014 | 42 | |
| 14 | 2013 | 55 | |
| 15 | Visual Analytics in Healthcare. | 2012 | 3 |
| 16 | 2012 | 5 | |
| 17 | 2009 | 146 | |
| 18 | 2009 | 36 | |
| 19 | Proceedings of the 2008 Workshop on BEyond time and errors: novel evaLuation methods for Information Visualization | 2008 | 1 |
| 20 | 2006 | 136 |
About Adam Perer
Adam Perer is a scholar working on Health Informatics, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Human-Computer Interaction and Safety Research, having authored 74 papers that have together received 2.8k indexed citations. Recurring topics across this work include Data Visualization and Analytics (38 papers), Complex Network Analysis Techniques (19 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), Adversarial Robustness in Machine Learning (4 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Health Informatics (107 citations), Computer Vision and Pattern Recognition (1.3k citations), Statistical and Nonlinear Physics (464 citations), Artificial Intelligence (1.1k citations) and Information Systems and Management (205 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, Fei Wang, Frank van Ham, 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 CHEST Journal.
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.