Joseph Shtok

27 total papers · 1.2k total citations
13 papers, 595 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 595 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 Domain Adaptation and Few-Shot Learning (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 Domain Adaptation and Few-Shot Learning (4 papers). Joseph Shtok collaborates with scholars based in Israel and United States. Joseph Shtok's co-authors include Leonid Karlinsky, Raja Giryes, Rogério Feris, Sivan Harary, Amit Aides, Alex Bronstein, Eli Schwartz, Michael Elad, Michael Zibulevsky and Amit Alfassy 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 574 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Joseph Shtok	393	295	108	76	75	13	595
Hojjat Seyed Mousavi	438 1.1×	274 0.9×	125 1.2×	68 0.9×	67 0.9×	17	640
Renrui Zhang	423 1.1×	291 1.0×	45 0.4×	88 1.2×	22 0.3×	18	680
Shuchang Zhou	378 1.0×	186 0.6×	109 1.0×	32 0.4×	33 0.4×	31	643
Roberto Rigamonti	415 1.1×	126 0.4×	101 0.9×	96 1.3×	26 0.3×	10	549
T. A. Joyce	349 0.9×	191 0.6×	181 1.7×	38 0.5×	85 1.1×	20	665
Michael Mavroforakis	307 0.8×	366 1.2×	123 1.1×	72 0.9×	39 0.5×	16	675
Rongyao Fang	335 0.9×	229 0.8×	39 0.4×	31 0.4×	38 0.5×	6	505
Vardan Papyan	357 0.9×	158 0.5×	48 0.4×	154 2.0×	84 1.1×	12	591
Chris G. Willcocks	315 0.8×	222 0.8×	149 1.4×	27 0.4×	129 1.7×	20	607
Zhuang Liu	265 0.7×	170 0.6×	63 0.6×	15 0.2×	33 0.4×	20	626

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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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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