R. Amar

1.4k citations
10 papers · 929 · h-index 9

Impact in

Papers in

R. Amar

9 papers receiving 881 citations

Peers

R. Amar
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 812
  • Human-Computer Interaction 102
  • Signal Processing 136
  • Artificial Intelligence 329
  • Information Systems and Management 64
Replace James Eagan with:
James Eagan France
Michelle Baldonado United States
Geoffrey Ellis United Kingdom
Matthew Brehmer United States
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Keith Andrews Austria
Emmanuel Pietriga France
T. J. Jankun-Kelly United States
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R. Amar relative to James Eagan France James Eagan's profile →
Citations per field
00.5×1.5×
James Eagan · 1×
Citations per year

Countries citing papers authored by R. Amar

Since Specialization
Citations

This map shows the geographic impact of R. 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 R. Amar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Amar more than expected).

Fields of papers citing papers by R. Amar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. 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 R. Amar. The network helps show where R. Amar may publish in the future.

Co-authors

The 8 scholars most cited alongside R. Amar, 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 R. Amar Line = papers co-authored together R. Amar links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006340
2 2005220
3 200599
4
A Knowledge Task-Based Framework for Design and Evaluation of Information Visualizations
200485
5 200567
6
Multiple-Instance Learning of Real-Valued Data
200157
7 200340
8 200312
9 20239
10 20170

About R. Amar

R. Amar is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Artificial Intelligence, Civil and Structural Engineering and Information Systems, having authored 10 papers that have together received 929 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), Image Retrieval and Classification Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Complex Network Analysis Techniques (1 paper), Geomechanics and Mining Engineering (1 paper) and Gaze Tracking and Assistive Technology (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (812 citations), Human-Computer Interaction (102 citations), Signal Processing (136 citations), Artificial Intelligence (329 citations) and Information Systems and Management (64 citations). R. 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, Kumar Sachin, Steven P. Dow and Richard A. Gordon. 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.

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