Hayit Greenspan
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Media Technology top 0.2%
- Biomedical Engineering top 5%
- Co-authors
- Jacob GoldbergerSerge BelongieJitendra MalikChad CarsonIdit DiamantEyal KlangMichal Marianne AmitaiMaayan Frid-Adar
- Topics
- Image Retrieval and Classification Techniques (57 papers)AI in cancer detection (50 papers)Medical Image Segmentation Techniques (34 papers)
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Hayit Greenspan
173 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Computer Vision and Pattern Recognition 4.6k
- Artificial Intelligence 2.5k
- Radiology, Nuclear Medicine and Imaging 2.3k
- Media Technology 988
- Biomedical Engineering 713
Countries citing papers authored by Hayit Greenspan
This map shows the geographic impact of Hayit Greenspan'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 Hayit Greenspan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hayit Greenspan more than expected).
Fields of papers citing papers by Hayit Greenspan
This network shows the impact of papers produced by Hayit Greenspan. 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 Hayit Greenspan. The network helps show where Hayit Greenspan may publish in the future.
Co-authorship network of co-authors of Hayit Greenspan
This figure shows the co-authorship network connecting the top 25 collaborators of Hayit Greenspan. A scholar is included among the top collaborators of Hayit Greenspan 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 Hayit Greenspan. Hayit Greenspan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 18 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 58 | |
| 9 | 8 | |
| 10 | 149 | |
| 11 | 23 | |
| 12 | 22 | |
| 13 | 198 | |
| 14 | Addressing the ImageClef 2009 Challenge Using a Patch-based Visual Words Representation | 8 |
| 15 | TAU MIPLAB at ImageClef 2008 | 2 |
| 16 | 35 | |
| 17 | An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures | 94 |
| 18 | Color- and Texture-based Image Segmentation Using the Expectation-Maximization Algorithm and its Application to Content-Based Image Retrieval. | 39 |
| 19 | Combining image-processing and image compression schemes | 0 |
| 20 | Remote Sensing Image Analysis via a Texture Classification Neural Network | 7 |
About Hayit Greenspan
Hayit Greenspan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 182 papers that have together received 8.3k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (57 papers), AI in cancer detection (50 papers) and Medical Image Segmentation Techniques (34 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.6k citations), Health Informatics (259 citations) and Media Technology (988 citations). Hayit Greenspan has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Jacob Goldberger, Serge Belongie, Jitendra Malik, Chad Carson, Idit Diamant, Eyal Klang, Michal Marianne Amitai, Maayan Frid-Adar, Eli Konen and Yaniv Bar. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.
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.