Sharon Alpert

1.5k citations
12 papers · 868 · h-index 9

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Visual Attention and Saliency Detection
    • Medical Image Segmentation Techniques
    • Image Retrieval and Classification Techniques
    • Advanced Neural Network Applications
    • Image and Video Quality Assessment
    • Olfactory and Sensory Function Studies

Papers in

Sharon Alpert

11 papers receiving 833 citations

Peers

Sharon Alpert
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 770
  • Sensory Systems 113
  • Media Technology 103
  • Computer Graphics and Computer-Aided Design 23
  • Human-Computer Interaction 30
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Shuai Zheng United Kingdom
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Shafin Rahman Bangladesh
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Citations per field
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Citations per year

Countries citing papers authored by Sharon Alpert

Since Specialization
Citations

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

Fields of papers citing papers by Sharon Alpert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Sharon Alpert, 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 Sharon Alpert Line = papers co-authored together Sharon Alpert links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2007353
2 2011278
3 201160
4 202059
5 201531
6 201526
7 201225
8 201724
9 20158
10
Learning Fashion Traits with Label Uncertainty
20182
11 20181
12 20141

About Sharon Alpert

Sharon Alpert is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Aerospace Engineering and Industrial and Manufacturing Engineering, having authored 12 papers that have together received 868 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (5 papers), Visual Attention and Saliency Detection (3 papers), AI in cancer detection (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Medical Image Segmentation Techniques (3 papers), 3D Shape Modeling and Analysis (2 papers), Robotics and Sensor-Based Localization (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (770 citations), Sensory Systems (113 citations), Media Technology (103 citations), Computer Graphics and Computer-Aided Design (23 citations) and Human-Computer Interaction (30 citations). Sharon Alpert has collaborated with scholars based in Israel and United States. Frequent co-authors include Ronen Basri, Meirav Galun, Achi Brandt, Gregory Shakhnarovich, Daniel Gläsner, Eran Borenstein, Ella Barkan, Sharbell Hashoul, Pavel Kisilev and Boaz Ophir. Their work appears in journals such as IBM Journal of Research and Development, IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing, Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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