Azad Shademan

34 total papers · 1.1k total citations
30 papers, 746 citations indexed

About

Azad Shademan is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Azad Shademan has authored 30 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 11 papers in Biomedical Engineering and 8 papers in Mechanical Engineering. Recurrent topics in Azad Shademan's work include Advanced Vision and Imaging (13 papers), Soft Robotics and Applications (7 papers) and Robotics and Sensor-Based Localization (7 papers). Azad Shademan is often cited by papers focused on Advanced Vision and Imaging (13 papers), Soft Robotics and Applications (7 papers) and Robotics and Sensor-Based Localization (7 papers). Azad Shademan collaborates with scholars based in Canada, United States and Iran. Azad Shademan's co-authors include Axel Krieger, Peter C.W. Kim, Simon Léonard, Ryan Decker, Justin D. Opfermann, Martin Jägersand, Farrokh Janabi‐Sharifi, Amir‐massoud Farahmand, Amir massoud Farahmand and Travis Dick and has published in prestigious journals such as Science Translational Medicine, IEEE Transactions on Biomedical Engineering and Surgical Endoscopy.

In The Last Decade

Azad Shademan

28 papers receiving 714 citations

Hit Papers

Supervised autonomous rob... 2016 2026 2019 2022 2016 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Azad Shademan 313 257 231 119 110 30 746
Abhilash K. Pandya 286 0.9× 197 0.8× 315 1.4× 65 0.5× 36 0.3× 33 898
Zhongliang Jiang 443 1.4× 137 0.5× 203 0.9× 33 0.3× 83 0.8× 42 797
Fernando Arámbula Cosı́o 210 0.7× 246 1.0× 176 0.8× 47 0.4× 54 0.5× 61 686
Elvis C. S. Chen 237 0.8× 301 1.2× 284 1.2× 104 0.9× 22 0.2× 89 632
Alexandre Krupa 560 1.8× 396 1.5× 232 1.0× 185 1.6× 134 1.2× 49 894
Giuseppe Megali 335 1.1× 214 0.8× 289 1.3× 51 0.4× 60 0.5× 44 662
Emmanuel Wilson 436 1.4× 154 0.6× 308 1.3× 72 0.6× 26 0.2× 37 878
Bernhard Fuerst 472 1.5× 304 1.2× 354 1.5× 77 0.6× 59 0.5× 33 811
Yutong Ban 124 0.4× 290 1.1× 204 0.9× 80 0.7× 16 0.1× 20 649
Rajesh Kumar 163 0.5× 550 2.1× 232 1.0× 131 1.1× 17 0.2× 37 902

Countries citing papers authored by Azad Shademan

Since Specialization
Citations

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

Fields of papers citing papers by Azad Shademan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azad Shademan

This figure shows the co-authorship network connecting the top 25 collaborators of Azad Shademan. A scholar is included among the top collaborators of Azad Shademan 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 Azad Shademan. Azad Shademan 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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