Joseph Shtok

1.2k total citations
13 papers, 598 citations indexed

About

Joseph Shtok is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Joseph Shtok has authored 13 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Joseph Shtok's work include Medical Imaging Techniques and Applications (5 papers), Image and Signal Denoising Methods (4 papers) and Advanced Neural Network Applications (4 papers). Joseph Shtok is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Image and Signal Denoising Methods (4 papers) and Advanced Neural Network Applications (4 papers). Joseph Shtok collaborates with scholars based in Israel and United States. Joseph Shtok's co-authors include Leonid Karlinsky, Sivan Harary, Rogério Feris, Raja Giryes, Alex Bronstein, Amit Aides, Michael Elad, Eli Schwartz, Michael Zibulevsky and Alexander M. Bronstein and has published in prestigious journals such as IEEE Transactions on Medical Imaging, International Journal of Biomedical Imaging and arXiv (Cornell University).

In The Last Decade

Joseph Shtok

13 papers receiving 578 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Joseph Shtok Israel	8	394	295	108	76	75	13	598
Arsenii Ashukha Russia	4	520 1.3×	181 0.6×	31 0.3×	52 0.7×	26 0.3×	6	694
Vardan Papyan United States	8	365 0.9×	160 0.5×	50 0.5×	158 2.1×	85 1.1×	12	600
Mengyang Yu United Kingdom	17	853 2.2×	301 1.0×	23 0.2×	73 1.0×	91 1.2×	26	980
Nicolae-Cătălin Ristea Romania	10	173 0.4×	295 1.0×	37 0.3×	17 0.2×	39 0.5×	25	484
Pan Ji China	15	783 2.0×	230 0.8×	29 0.3×	56 0.7×	63 0.8×	37	915
Faouzi Ghorbel Tunisia	14	558 1.4×	77 0.3×	43 0.4×	63 0.8×	34 0.5×	99	667
Bart Goossens Belgium	12	330 0.8×	66 0.2×	99 0.9×	38 0.5×	69 0.9×	50	507

Countries citing papers authored by Joseph Shtok

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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13 of 13 papers shown

Schwartz, Eli, et al.. (2024). NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning. 206–212. 2 indexed citations

Karlinsky, Leonid, Joseph Shtok, Sivan Harary, et al.. (2021). StarNet: towards Weakly Supervised Few-Shot Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 1743–1753. 10 indexed citations

Karlinsky, Leonid, Amit Aides, Joseph Shtok, et al.. (2019). LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. 6541–6550. 78 indexed citations

Karlinsky, Leonid, Joseph Shtok, Sivan Harary, et al.. (2019). RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. 5192–5201. 245 indexed citations

Schwartz, Eli, Leonid Karlinsky, Joseph Shtok, et al.. (2018). Delta-encoder: an effective sample synthesis method for few-shot object recognition. arXiv (Cornell University). 31. 2845–2855. 64 indexed citations

Karlinsky, Leonid, et al.. (2017). Fine-Grained Recognition of Thousands of Object Categories with Single-Example Training. 965–974. 51 indexed citations

Shtok, Joseph, et al.. (2017). Hybrid Remote Expert - an Emerging Pattern of Industrial Remote Support.. 33–40. 3 indexed citations

Elad, Michael, et al.. (2015). Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks. IEEE Transactions on Medical Imaging. 34(7). 1474–1485. 35 indexed citations

Shtok, Joseph, Michael Elad, & Michael Zibulevsky. (2013). Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography. International Journal of Biomedical Imaging. 2013. 1–20. 2 indexed citations

10.

Shtok, Joseph, Michael Elad, & Michael Zibulevsky. (2011). Sparsity-based Sinogram Denoising for low-dose Computed Tomography. 569–572. 18 indexed citations

11.

Shtok, Joseph, Michael Elad, & Michael Zibulevsky. (2009). Direct adaptive algorithms for CT reconstruction. 6. 181–184. 2 indexed citations

12.

Shtok, Joseph, Michael Elad, & Michael Zibulevsky. (2008). Adaptive filtered-back-projection for computed tomography. 528–532. 6 indexed citations

13.

Elad, Michael, et al.. (2007). A wide-angle view at iterated shrinkage algorithms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6701. 670102–670102. 82 indexed citations

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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