Joseph Shtok
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging
- Computational Mechanics top 10%
- Biomedical Engineering
- Co-authors
- Leonid KarlinskySivan HararyRogério FerisRaja GiryesAmit AidesAlex BronsteinMichael EladMichael Zibulevsky
- Topics
- Medical Imaging Techniques and Applications (5 papers)Image and Signal Denoising Methods (4 papers)Advanced Neural Network Applications (4 papers)
- Journals
- IEEE Transactions on Medical ImagingInternational Journal of Biomedical ImagingarXiv (Cornell University)
- Partner nations
- IsraelUnited States
In The Last Decade
Joseph Shtok
13 papers receiving 578 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 394
- Artificial Intelligence 295
- Radiology, Nuclear Medicine and Imaging 108
- Computational Mechanics 76
- Biomedical Engineering 75
Countries citing papers authored by Joseph Shtok
This map shows the geographic impact of Joseph Shtok'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 Joseph Shtok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Shtok more than expected).
Fields of papers citing papers by Joseph Shtok
This network shows the impact of papers produced by Joseph Shtok. 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 Joseph Shtok. The network helps show where Joseph Shtok may publish in the future.
Co-authorship network of co-authors of Joseph Shtok
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Shtok. A scholar is included among the top collaborators of Joseph Shtok 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 Joseph Shtok. Joseph Shtok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 78 | |
| 4 | 245 | |
| 5 | Delta-encoder: an effective sample synthesis method for few-shot object recognition | 64 |
| 6 | Hybrid Remote Expert - an Emerging Pattern of Industrial Remote Support. | 3 |
| 7 | 51 | |
| 8 | 35 | |
| 9 | 2 | |
| 10 | 18 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 82 |
About Joseph Shtok
Joseph Shtok is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 13 papers that have together received 598 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Image and Signal Denoising Methods (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (394 citations), Artificial Intelligence (295 citations) and Media Technology (64 citations). Joseph Shtok has collaborated with scholars based in Israel and United States. Frequent co-authors include Leonid Karlinsky, Sivan Harary, Rogério Feris, Raja Giryes, Amit Aides, Alex Bronstein, Michael Elad, Michael Zibulevsky, Eli Schwartz and Abhishek Kumar. Their work appears in journals such as IEEE Transactions on Medical Imaging, International Journal of Biomedical Imaging and arXiv (Cornell University).
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.