Aharon Azulay

577 total citations
4 papers, 40 citations indexed

About

Aharon Azulay is a scholar working on Computer Vision and Pattern Recognition, Endocrine and Autonomic Systems and Pharmacology. According to data from OpenAlex, Aharon Azulay has authored 4 papers receiving a total of 40 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Endocrine and Autonomic Systems and 1 paper in Pharmacology. Recurrent topics in Aharon Azulay's work include Advanced Image Processing Techniques (2 papers), Image Enhancement Techniques (2 papers) and Advanced Scientific Research Methods (1 paper). Aharon Azulay is often cited by papers focused on Advanced Image Processing Techniques (2 papers), Image Enhancement Techniques (2 papers) and Advanced Scientific Research Methods (1 paper). Aharon Azulay collaborates with scholars based in Israel and United States. Aharon Azulay's co-authors include Alon Zaslaver, Christian Pritz, Orestis Vantzos and Ohad Fried and has published in prestigious journals such as eLife, PLoS Computational Biology and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Aharon Azulay

4 papers receiving 39 citations

Peers

Aharon Azulay

AGING

EAS

CMN

CVPR

MB

Burcu Gülez United States

Barnabas G. Williams United Kingdom

Brittany Davidson United States

Witawas Handee United States

Michael Muir United States

Raziel Amador Spain

Jade Laguer United States

Clayton Baker United States

Emma Hoffmann United States

Kevin Widjaja United States

Burcu Gülez United States

Aharon Azulay

26 ×1.1

AGING

15 ×1.4

EAS

5 ×0.6

CMN

0 ×0.0

CVPR

19 ×2.4

MB

Citations per year, relative to Aharon Azulay Aharon Azulay (= 1×) peers Burcu Gülez

Countries citing papers authored by Aharon Azulay

Since Specialization

Citations

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

Fields of papers citing papers by Aharon Azulay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aharon Azulay

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

All Works

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4 of 4 papers shown

1.

Pritz, Christian, et al.. (2023). Principles for coding associative memories in a compact neural network. eLife. 12. 9 indexed citations

2.

Azulay, Aharon, et al.. (2023). Diffusing Colors: Image Colorization with Text Guided Diffusion. 1–11. 6 indexed citations

3.

Azulay, Aharon, et al.. (2022). Temporally stable video segmentation without video annotations. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 4 indexed citations

4.

Azulay, Aharon, et al.. (2016). The C. elegans Connectome Consists of Homogenous Circuits with Defined Functional Roles. PLoS Computational Biology. 12(9). e1005021–e1005021. 21 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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