Oron Ashual

791 total citations
2 papers, 19 citations indexed

About

Oron Ashual is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Infectious Diseases. According to data from OpenAlex, Oron Ashual has authored 2 papers receiving a total of 19 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Computer Graphics and Computer-Aided Design and 0 papers in Infectious Diseases. Recurrent topics in Oron Ashual's work include Advanced Image and Video Retrieval Techniques (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Multimodal Machine Learning Applications (1 paper). Oron Ashual is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Multimodal Machine Learning Applications (1 paper). Oron Ashual collaborates with scholars based in Israel. Oron Ashual's co-authors include Uriel Singer, Devi Parikh, Adam Polyak, Shelly Sheynin, Yaniv Taigman and Lior Wolf and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Oron Ashual

2 papers receiving 17 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oron Ashual Israel	2	14	7	2	2	1	2	19
Jason J. Yu Canada	2	8 0.6×	7 1.0×	1 0.5×	2 1.0×		2	12
D. Haitz Germany	4	11 0.8×	4 0.6×	1 0.5×	1 0.5×		4	16
X. R. Lyu China	4	7 0.5×	7 1.0×		7 3.5×		9	26
W. C. Yan China	1	5 0.4×	3 0.4×				2	5
Xue Ben China	3	8 0.6×	2 0.3×	1 0.5×			6	14
Florian Bordes Canada	2	10 0.7×	2 0.3×	2 1.0×	1 0.5×		4	12
A. Ghosh Canada	1	4 0.3×	3 0.4×				2	4
Wojciech Stokowiec Poland	2	6 0.4×	5 0.7×		6 3.0×		4	13
L. Guevara Ecuador	2	8 0.6×			2 1.0×	1 1.0×	4	14

Countries citing papers authored by Oron Ashual

Since Specialization

Citations

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

Fields of papers citing papers by Oron Ashual

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oron Ashual

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

All Works

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2 of 2 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.

Ashual, Oron & Lior Wolf. (2020). Interactive Scene Generation via Scene Graphs with Attributes. Proceedings of the AAAI Conference on Artificial Intelligence. 34(9). 13651–13654. 1 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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