Muhammad Maaz

3.0k citations
30 papers · 998 · 4 hit papers · h-index 9

Impact in

Papers in

Muhammad Maaz

26 papers receiving 971 citations

Muhammad Maaz's Hit Papers

Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models 2024 · 113 citations
1130+1+2Years since publication100200300

Peers

Muhammad Maaz
Comparison fields: 5 of 127
  • Geriatrics and Gerontology 106
  • Computer Vision and Pattern Recognition 494
  • Health Informatics 27
  • Artificial Intelligence 376
  • Neurology 55
Replace Shirin Enshaeifar with:
Shirin Enshaeifar United Kingdom
Steven A. Hicks Norway
Inga Strümke Norway
Wei Tang United States
Ahmed M. Soliman Egypt
Vajira Thambawita Norway
Xu Sun China
Adane Nega Tarekegn Norway
Yujia Zhou China
Manal Alghamdi Saudi Arabia
Muhammad Maaz relative to Shirin Enshaeifar United Kingdom Shirin Enshaeifar's profile →
Citations per field
00.5×10×15.2×
Shirin Enshaeifar · 1×
Citations per year

Countries citing papers authored by Muhammad Maaz

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Maaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Maaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Maaz Line = papers co-authored together Muhammad Maaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MaPLe: Multi-modal Prompt Learning
Hit paper breakdown →
2023322
2 2019128
3
UNETR++: Delving Into Efficient and Accurate 3D Medical Image Segmentation
Hit paper breakdown →
2024128
4
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
Hit paper breakdown →
2024113
5
SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications
Hit paper breakdown →
2023108
6 202366
7 202441
8 202435
9 20238
10 20227
11 20247
12 20205
13 20224
14 20254
15 20203
16 20233
17 20193
18 20202
19 20212
20 20222

About Muhammad Maaz

Muhammad Maaz is a scholar working on Computer Vision and Pattern Recognition, Economics and Econometrics, Orthodontics, Complementary and Manual Therapy and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 998 indexed citations. Recurring topics across this work include Orthodontics and Dentofacial Orthopedics (5 papers), Temporomandibular Joint Disorders (4 papers), Multimodal Machine Learning Applications (4 papers), Game Theory and Voting Systems (4 papers), Advanced Neural Network Applications (3 papers), Names, Identity, and Discrimination Research (3 papers), COVID-19 diagnosis using AI (2 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Geriatrics and Gerontology (106 citations), Computer Vision and Pattern Recognition (494 citations), Health Informatics (27 citations), Artificial Intelligence (376 citations) and Neurology (55 citations). Muhammad Maaz has collaborated with scholars based in Pakistan, Canada and United States. Frequent co-authors include Hanoona Rasheed, Fahad Shahbaz Khan, Salman Khan, Muhammad Uzair Khattak, Salman Khan, Abdelrahman Shaker, Ming–Hsuan Yang, Julie Richardson, Saad M. Alsaad and Jamaan Alzahrani. Their work appears in journals such as Managerial and Decision Economics, IEEE Access, Artificial Intelligence Review, Psychiatry Research and IEEE Transactions on Medical Imaging.

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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