Robert Amar
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Human-Computer Interaction top 5%
Papers in
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- Data Visualization and Analytics 5
- Advanced Image and Video Retrieval Techniques 2
- Image Retrieval and Classification Techniques 2
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- Advanced Text Analysis Techniques 4
- Co-authors
- John Stasko (5 shared papers)James Eagan (2 shared papers)Sally A. Goldman (2 shared papers)Qi Zhang (1 shared paper)Kumar Sachin (1 shared paper)
- Journals
- Journal of Machine Learning Research (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Materials Today Proceedings (1 paper)International Journal of Research in Engineering and Technology (1 paper)International Conference on Machine Learning (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Robert Amar
8 papers receiving 1.1k citations
Robert Amar's Hit Papers
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 969
- Human-Computer Interaction 113
- Signal Processing 151
- Information Systems and Management 75
- Artificial Intelligence 364
Countries citing papers authored by Robert Amar
This map shows the geographic impact of Robert Amar'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 Robert Amar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Amar more than expected).
Fields of papers citing papers by Robert Amar
This network shows the impact of papers produced by Robert Amar. 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 Robert Amar. The network helps show where Robert Amar may publish in the future.
Co-authors
The 6 scholars most cited alongside Robert Amar, 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 | Low-Level Components of Analytic Activity in Information Visualization Hit paper breakdown → | 2006 | 414 |
| 2 | 2005 | 264 | |
| 3 | 2005 | 116 | |
| 4 | A Knowledge Task-Based Framework for Design and Evaluation of Information Visualizations | 2004 | 104 |
| 5 | 2005 | 77 | |
| 6 | Multiple-Instance Learning of Real-Valued Data | 2001 | 66 |
| 7 | 2003 | 45 | |
| 8 | 2023 | 11 | |
| 9 | 2017 | 0 |
About Robert Amar
Robert Amar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Civil and Structural Engineering and Statistical and Nonlinear Physics, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Advanced Text Analysis Techniques (4 papers), Multimedia Communication and Technology (4 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Recycling and utilization of industrial and municipal waste in materials production (1 paper), Rough Sets and Fuzzy Logic (1 paper) and Magnesium Oxide Properties and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (969 citations), Human-Computer Interaction (113 citations), Signal Processing (151 citations), Information Systems and Management (75 citations) and Artificial Intelligence (364 citations). Robert Amar has collaborated with scholars based in United States and India. Frequent co-authors include John Stasko, James Eagan, Sally A. Goldman, Qi Zhang, Qi Zhang and Kumar Sachin. Their work appears in journals such as Journal of Machine Learning Research, IEEE Transactions on Visualization and Computer Graphics, Materials Today Proceedings, International Journal of Research in Engineering and Technology and International Conference on Machine Learning.
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.