Arie Kaufman
- Computer Vision and Pattern Recognition top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Computational Mechanics
- Artificial Intelligence
- Oncology
- Co-authors
- Roni YagelDaniel C. CohenFeng QiuSaad NadeemSteve BrysonMing WanWei Li
- Topics
- Computer Graphics and Visualization Techniques (5 papers)Distributed systems and fault tolerance (3 papers)Model-Driven Software Engineering Techniques (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- IEEE Transactions on Visualization and Computer GraphicsACM Transactions on Programming Languages and SystemsComputers & Graphics
- Partner nations
- IsraelUnited States
In The Last Decade
Arie Kaufman
16 papers receiving 153 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 98
- Computer Graphics and Computer-Aided Design 75
- Computational Mechanics 51
- Artificial Intelligence 32
- Oncology 28
Countries citing papers authored by Arie Kaufman
This map shows the geographic impact of Arie Kaufman'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 Arie Kaufman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arie Kaufman more than expected).
Fields of papers citing papers by Arie Kaufman
This network shows the impact of papers produced by Arie Kaufman. 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 Arie Kaufman. The network helps show where Arie Kaufman may publish in the future.
Co-authorship network of co-authors of Arie Kaufman
This figure shows the co-authorship network connecting the top 25 collaborators of Arie Kaufman. A scholar is included among the top collaborators of Arie Kaufman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arie Kaufman. Arie Kaufman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 38 | |
| 3 | Accelerating simulation and visualization on graphics hardware | 1 |
| 4 | 12 | |
| 5 | 50 | |
| 6 | 13 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 8 |
About Arie Kaufman
Arie Kaufman is a scholar working on Computer Graphics and Computer-Aided Design, Development and Software, having authored 16 papers that have together received 170 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), Distributed systems and fault tolerance (3 papers) and Model-Driven Software Engineering Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (75 citations), Computer Vision and Pattern Recognition (98 citations) and Computational Mechanics (51 citations). Arie Kaufman has collaborated with scholars based in Israel and United States. Frequent co-authors include Roni Yagel, Daniel C. Cohen, Feng Qiu, Saad Nadeem, Steve Bryson, Ming Wan and Wei Li. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Programming Languages and Systems and Computers & Graphics.
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.