Shahaf E. Finder

475 citations
3 papers · 38 · h-index 2

Impact in

    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Human Pose and Action Recognition
    • Face and Expression Recognition
    • Advanced Clustering Algorithms Research
    • Anomaly Detection Techniques and Applications
    • Domain Adaptation and Few-Shot Learning

Papers in

Journals
IEEE photonics journal (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
Partner nations
Israel

In The Last Decade

Shahaf E. Finder

2 papers receiving 38 citations

Peers

Shahaf E. Finder
Comparison fields: 5 of 29
  • Computer Vision and Pattern Recognition 14
  • Artificial Intelligence 20
  • Signal Processing 5
  • Human-Computer Interaction 2
  • Health Information Management 1
Replace Avital Oliver with:
Avital Oliver United States
Ruibin Yuan China
Rafael Felix Australia
Jacqueline Pan Thailand
Chris Chinenye Emezue Germany
Zhengyuan Zhou China
Shreyas Saxena Israel
Łukasz Lew United States
Yukang Gan China
Shahaf E. Finder relative to Avital Oliver United States Avital Oliver's profile →
Citations per field
00.5×12×
Avital Oliver · 1×
Citations per year

Countries citing papers authored by Shahaf E. Finder

Since Specialization
Citations

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

Fields of papers citing papers by Shahaf E. Finder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shahaf E. Finder. 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 Shahaf E. Finder. The network helps show where Shahaf E. Finder may publish in the future.

Co-authors

The 3 scholars most cited alongside Shahaf E. Finder, 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 Shahaf E. Finder Line = papers co-authored together Shahaf E. Finder links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 202237
2 20201
3 20220

About Shahaf E. Finder

Shahaf E. Finder is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 38 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (1 paper), Optical Coherence Tomography Applications (1 paper), Bayesian Methods and Mixture Models (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper), Photoacoustic and Ultrasonic Imaging (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (14 citations), Artificial Intelligence (20 citations), Signal Processing (5 citations), Human-Computer Interaction (2 citations) and Health Information Management (1 citation). Shahaf E. Finder has collaborated with scholars based in Israel. Frequent co-authors include Oren Freifeld, Zeev Zalevsky and Eran Treister. Their work appears in journals such as IEEE photonics journal and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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