Hanoona Rasheed

25 total papers · 1.9k total citations
6 papers, 720 citations indexed

About

Hanoona Rasheed is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Hanoona Rasheed has authored 6 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Artificial Intelligence. Recurrent topics in Hanoona Rasheed's work include Multimodal Machine Learning Applications (4 papers), Advanced Neural Network Applications (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Hanoona Rasheed is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Advanced Neural Network Applications (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Hanoona Rasheed collaborates with scholars based in United Arab Emirates, United States and South Korea. Hanoona Rasheed's co-authors include Fahad Shahbaz Khan, Muhammad Maaz, Salman Khan, Muhammad Uzair Khattak, Salman Khan, Abdelrahman Shaker, Ming–Hsuan Yang, Eric P. Xing, Hisham Cholakkal and Rao Muhammad Anwer and has published in prestigious journals such as IEEE Transactions on Medical Imaging.

In The Last Decade

Hanoona Rasheed

6 papers receiving 702 citations

Hit Papers

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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
Hanoona Rasheed 453 333 67 48 39 6 720
Sirui Ding 317 0.7× 420 1.3× 135 2.0× 33 0.7× 44 1.1× 11 802
Alaaeldin El-Nouby 418 0.9× 338 1.0× 77 1.1× 33 0.7× 51 1.3× 6 793
Zijian Zhang 335 0.7× 440 1.3× 137 2.0× 36 0.8× 45 1.2× 18 823
Matthew L. Leavitt 280 0.6× 200 0.6× 60 0.9× 33 0.7× 36 0.9× 12 775
Piotr Mardziel 319 0.7× 518 1.6× 134 2.0× 33 0.7× 43 1.1× 12 897
I. El-Naqa 375 0.8× 382 1.1× 172 2.6× 36 0.8× 47 1.2× 9 698
Patrick W. Gallagher 472 1.0× 281 0.8× 107 1.6× 26 0.5× 61 1.6× 15 739
Zifan Wang 328 0.7× 444 1.3× 144 2.1× 34 0.7× 45 1.2× 17 897
Chenxi Liu 691 1.5× 409 1.2× 80 1.2× 26 0.5× 28 0.7× 12 909
Xiangli Yang 207 0.5× 311 0.9× 48 0.7× 21 0.4× 26 0.7× 7 642

Countries citing papers authored by Hanoona Rasheed

Since Specialization
Citations

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

Fields of papers citing papers by Hanoona Rasheed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanoona Rasheed

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