Samaneh Azadi

31 total papers · 588 total citations
11 papers, 200 citations indexed

About

Samaneh Azadi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Samaneh Azadi has authored 11 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Samaneh Azadi's work include Generative Adversarial Networks and Image Synthesis (5 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Samaneh Azadi is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Samaneh Azadi collaborates with scholars based in United States, Hong Kong and Iran. Samaneh Azadi's co-authors include Trevor Darrell, Dong Huk Park, Xihui Liu, Anna Rohrbach, Humphrey Shi, Suvrit Sra, Gong Zhang, Yuxiao Hu, Jiashi Feng and Afsaneh Safavi and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Learning Representations.

In The Last Decade

Samaneh Azadi

11 papers receiving 198 citations

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Author Peers

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

Author Last Decade Papers Cites
Samaneh Azadi 131 59 32 22 20 11 200
Hanshu Yan 138 1.1× 104 1.8× 14 0.4× 18 0.8× 20 1.0× 11 226
Dong Huk Park 214 1.6× 65 1.1× 16 0.5× 20 0.9× 12 0.6× 8 263
Chenlin Meng 120 0.9× 52 0.9× 15 0.5× 17 0.8× 6 0.3× 15 207
Ligong Han 202 1.5× 56 0.9× 14 0.4× 47 2.1× 13 0.7× 19 270
Ziqi Huang 154 1.2× 38 0.6× 9 0.3× 11 0.5× 18 0.9× 11 200
Ivan Skorokhodov 183 1.4× 39 0.7× 39 1.2× 58 2.6× 20 1.0× 20 230
Jiaxiang Tang 235 1.8× 79 1.3× 47 1.5× 29 1.3× 22 1.1× 12 269
Yaxing Wang 132 1.0× 52 0.9× 8 0.3× 12 0.5× 10 0.5× 16 180
Chuanxia Zheng 222 1.7× 39 0.7× 18 0.6× 32 1.5× 7 0.3× 17 256
Haozhi Huang 230 1.8× 27 0.5× 37 1.2× 44 2.0× 12 0.6× 15 270

Countries citing papers authored by Samaneh Azadi

Since Specialization
Citations

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

Fields of papers citing papers by Samaneh Azadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samaneh Azadi

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

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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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