Hanoona Rasheed

1.9k total citations · 4 hit papers
7 papers, 778 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 7 papers receiving a total of 778 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 Australia. Hanoona Rasheed's co-authors include Muhammad Maaz, Fahad Shahbaz Khan, Salman Khan, Muhammad Uzair Khattak, Salman Khan, Ming–Hsuan Yang, Abdelrahman Shaker, Eric P. Xing, Rao Muhammad Anwer and Hisham Cholakkal and has published in prestigious journals such as IEEE Transactions on Medical Imaging.

In The Last Decade

Hanoona Rasheed

6 papers receiving 758 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MaPLe: Multi-modal Prompt Learning

2023 322 citations Muhammad Uzair Khattak, Hanoona Rasheed et al. profile →
UNETR++: Delving Into Efficient and Accurate 3D Medical Image Segmentation

2024 128 citations Abdelrahman Shaker, Muhammad Maaz et al. IEEE Transactions on Medical Imaging profile →
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

2024 113 citations Muhammad Maaz, Hanoona Rasheed et al. profile →
SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications

2023 108 citations Abdelrahman Shaker, Muhammad Maaz et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hanoona Rasheed United Arab Emirates	6	493	364	75	53	43	7	778
Sirui Ding China	5	320 0.6×	422 1.2×	138 1.8×	33 0.6×	45 1.0×	11	820
Xi Shen France	12	363 0.7×	307 0.8×	119 1.6×	28 0.5×	97 2.3×	19	672
Ruipeng Zhang China	9	265 0.5×	289 0.8×	55 0.7×	23 0.4×	43 1.0×	12	483
Gautier Izacard France	4	244 0.5×	220 0.6×	64 0.9×	33 0.6×	35 0.8×	6	497
Alaaeldin El-Nouby Sweden	4	438 0.9×	352 1.0×	79 1.1×	34 0.6×	52 1.2×	6	835
Hanli Zhao China	16	355 0.7×	190 0.5×	50 0.7×	33 0.6×	31 0.7×	54	646
Sibei Yang China	15	511 1.0×	354 1.0×	91 1.2×	28 0.5×	33 0.8×	26	714
Yutong Bai China	9	390 0.8×	226 0.6×	86 1.1×	23 0.4×	26 0.6×	19	621
Walid Barhoumi Tunisia	18	460 0.9×	414 1.1×	210 2.8×	67 1.3×	75 1.7×	99	965
Alexandre Sablayrolles France	5	437 0.9×	261 0.7×	72 1.0×	32 0.6×	31 0.7×	7	756

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Rasheed, Hanoona, Muhammad Maaz, Abdelrahman Shaker, et al.. (2024). GLaMM: Pixel Grounding Large Multimodal Model. 13009–13018. 41 indexed citations

2.

Maaz, Muhammad, Hanoona Rasheed, Salman Khan, & Fahad Shahbaz Khan. (2024). Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models. 12585–12602. 113 indexed citations breakdown →

3.

Shaker, Abdelrahman, Muhammad Maaz, Hanoona Rasheed, et al.. (2024). UNETR++: Delving Into Efficient and Accurate 3D Medical Image Segmentation. IEEE Transactions on Medical Imaging. 43(9). 3377–3390. 128 indexed citations breakdown →

4.

Shaker, Abdelrahman, Muhammad Maaz, Hanoona Rasheed, et al.. (2023). SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications. 17379–17390. 108 indexed citations breakdown →

5.

Rasheed, Hanoona, Muhammad Uzair Khattak, Muhammad Maaz, Salman Khan, & Fahad Shahbaz Khan. (2023). Fine-tuned CLIP Models are Efficient Video Learners. 6545–6554. 66 indexed citations

6.

Khattak, Muhammad Uzair, Hanoona Rasheed, Muhammad Maaz, Salman Khan, & Fahad Shahbaz Khan. (2023). MaPLe: Multi-modal Prompt Learning. 19113–19122. 322 indexed citations breakdown →

7.

Rasheed, Hanoona, et al.. (2022). Bridging the Gap Between Object and Image-Level Representations for Open-Vocabulary Detection. 33781–33794.

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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