Sagie Benaim

696 citations
12 papers · 214 indexed · h-index 7
Topics
Generative Adversarial Networks and Image Synthesis (5 papers)Advanced Image Processing Techniques (4 papers)Digital Media Forensic Detection (3 papers)
Journals
Computer Graphics ForumMathematical Finance2021 IEEE/CVF International Conference on Computer Vision (ICCV)

In The Last Decade

Sagie Benaim

10 papers receiving 196 citations

Peers

Sagie Benaim
Comparison fields: 5 of 53
  • Artificial Intelligence 87
  • Computer Vision and Pattern Recognition 71
  • Finance 62
  • Signal Processing 20
  • Computer Networks and Communications 17
Replace Khursheed Alam with:
Khursheed Alam United States
Lujun Li China
Yannis G. Yatracos Canada
Alexander A. Georgiev Poland
Lu Lin China
Yu. S. Kharin Belarus
William Glover United Kingdom
Jingyu He China
Christophe Crambes France
Sagie Benaim relative to Khursheed Alam United States Khursheed Alam's profile →
Citations per field
00.5×5.7×
Khursheed Alam · 1×
Citations per year

Countries citing papers authored by Sagie Benaim

Since Specialization
Citations

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

Fields of papers citing papers by Sagie Benaim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sagie Benaim

This figure shows the co-authorship network connecting the top 25 collaborators of Sagie Benaim. A scholar is included among the top collaborators of Sagie Benaim 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 Sagie Benaim. Sagie Benaim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 12
3 5
4 1
5 0
6 60
7 6
8 10
9 8
10
One-shot unsupervised cross domain translation
45
11 1
12 66

About Sagie Benaim

Sagie Benaim is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 12 papers that have together received 214 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Advanced Image Processing Techniques (4 papers) and Digital Media Forensic Detection (3 papers). The work is most often cited by research in Finance (62 citations), Computer Vision and Pattern Recognition (71 citations) and Artificial Intelligence (87 citations). Sagie Benaim has collaborated with scholars based in Israel, Denmark and United States. Frequent co-authors include Lior Wolf, Peter K. Friz, Shelly Sheynin, Amit H. Bermano, Idan Schwartz, Ron Mokady, Itai Gat, Yossi Adi, Hila Chefer and Serge Belongie. Their work appears in journals such as Computer Graphics Forum, Mathematical Finance and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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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