Eran Borenstein
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Media Technology top 10%
- Computational Mechanics
- Aerospace Engineering
- Co-authors
- Shimon UllmanE. SharonJitendra MalikSharon AlpertStuart GemanWei Zhang
- Topics
- Advanced Image and Video Retrieval Techniques (4 papers)Image Retrieval and Classification Techniques (2 papers)Generative Adversarial Networks and Image Synthesis (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionThe Annals of Applied Statistics
- Partner nations
- United StatesIsrael
In The Last Decade
Eran Borenstein
6 papers receiving 399 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 354
- Artificial Intelligence 68
- Media Technology 51
- Computational Mechanics 50
- Aerospace Engineering 34
Countries citing papers authored by Eran Borenstein
This map shows the geographic impact of Eran Borenstein'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 Eran Borenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eran Borenstein more than expected).
Fields of papers citing papers by Eran Borenstein
This network shows the impact of papers produced by Eran Borenstein. 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 Eran Borenstein. The network helps show where Eran Borenstein may publish in the future.
Co-authorship network of co-authors of Eran Borenstein
This figure shows the co-authorship network connecting the top 25 collaborators of Eran Borenstein. A scholar is included among the top collaborators of Eran Borenstein 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 Eran Borenstein. Eran Borenstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 106 | |
| 5 | 60 | |
| 6 | 185 |
About Eran Borenstein
Eran Borenstein is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Computational Mechanics, having authored 6 papers that have together received 423 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (354 citations), Computer Graphics and Computer-Aided Design (21 citations) and Media Technology (51 citations). Eran Borenstein has collaborated with scholars based in United States and Israel. Frequent co-authors include Shimon Ullman, E. Sharon, Jitendra Malik, Sharon Alpert, Stuart Geman, Wei Zhang and Wei Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and The Annals of Applied Statistics.
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.