Shelly Sheynin

587 total citations
3 papers, 97 citations indexed

About

Shelly Sheynin is a scholar working on Computer Vision and Pattern Recognition, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Shelly Sheynin has authored 3 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Clinical Psychology and 1 paper in Cognitive Neuroscience. Recurrent topics in Shelly Sheynin's work include Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Functional Brain Connectivity Studies (1 paper). Shelly Sheynin is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Functional Brain Connectivity Studies (1 paper). Shelly Sheynin collaborates with scholars based in Israel and United States. Shelly Sheynin's co-authors include Lior Wolf, Sagie Benaim, Uriel Singer, Adam Polyak, Israel Liberzon, Jony Sheynin, Devi Parikh, Oron Ashual, Ziv Ben‐Zion and Roee Admon and has published in prestigious journals such as NeuroImage and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Shelly Sheynin

3 papers receiving 92 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shelly Sheynin Israel	3	55	26	14	13	11	3	97
Neeraj Varshney India	6	66 1.2×	19 0.7×	11 0.8×	2 0.2×	3 0.3×	51	187
Haifa F. Alhasson Saudi Arabia	8	29 0.5×	53 2.0×	3 0.2×	8 0.6×	2 0.2×	33	131
Hui Yuan China	5	18 0.3×	10 0.4×	14 1.0×	2 0.2×	9 0.8×	14	58
Liuyu Xiang China	6	74 1.3×	83 3.2×	5 0.4×	2 0.2×	3 0.3×	14	140
Jakob D. Havtorn Denmark	5	170 3.1×	18 0.7×	3 0.2×	4 0.3×	2 0.2×	7	228
Davide Testuggine United States	2	60 1.1×	37 1.4×	2 0.1×	3 0.2×	2 0.2×	2	88
Joost van Amersfoort United Kingdom	6	89 1.6×	22 0.8×	5 0.4×		2 0.2×	6	126
K Ananthajothi India	7	35 0.6×	12 0.5×	15 1.1×	3 0.2×		30	127
Pei Yu China	5	31 0.6×	61 2.3×	9 0.6×	1 0.1×	4 0.4×	14	114

Countries citing papers authored by Shelly Sheynin

Since Specialization

Citations

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

Fields of papers citing papers by Shelly Sheynin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shelly Sheynin

This figure shows the co-authorship network connecting the top 25 collaborators of Shelly Sheynin. A scholar is included among the top collaborators of Shelly Sheynin 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 Shelly Sheynin. Shelly Sheynin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Sheynin, Shelly, Adam Polyak, Uriel Singer, et al.. (2024). Emu Edit: Precise Image Editing via Recognition and Generation Tasks. 8871–8879. 18 indexed citations

2.

Sheynin, Shelly, Lior Wolf, Ziv Ben‐Zion, et al.. (2021). Deep learning model of fMRI connectivity predicts PTSD symptom trajectories in recent trauma survivors. NeuroImage. 238. 118242–118242. 19 indexed citations

3.

Sheynin, Shelly, Sagie Benaim, & Lior Wolf. (2021). A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8475–8484. 60 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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