Mubarak Shah

91 total papers · 4.1k total citations
39 papers, 2.3k citations indexed

About

Mubarak Shah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mubarak Shah has authored 39 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Mubarak Shah's work include Anomaly Detection Techniques and Applications (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Human Pose and Action Recognition (6 papers). Mubarak Shah is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Human Pose and Action Recognition (6 papers). Mubarak Shah collaborates with scholars based in United States, Australia and United Arab Emirates. Mubarak Shah's co-authors include Javed Ahmed, Mikel Rodríguez, Radu Tudor Ionescu, Florinel-Alin Croitoru, Vlad Hondru, Arslan Basharat, Saad Ali, Yaser Sheikh, Fahad Shahbaz Khan and Chen Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Mubarak Shah

34 papers receiving 2.2k citations

Hit Papers

Action MACH a spatio-temp... 2008 2026 2014 2020 2008 2023 2025 250 500 750
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition
    2008 832 citations Mikel Rodríguez, Javed Ahmed et al. profile →
  2. Diffusion Models in Vision: A Survey
    2023 774 citations Florinel-Alin Croitoru, Vlad Hondru et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  3. Foundation Models Defining a New Era in Vision: A Survey and Outlook
    2025 37 citations Muzammal Naseer, Salman Khan et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Author Peers

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

Author Last Decade Papers Cites
Mubarak Shah 1.6k 900 335 151 114 39 2.3k
Hakan Bilen 1.8k 1.2× 1.2k 1.3× 228 0.7× 125 0.8× 63 0.6× 51 2.4k
Yanghao Li 2.4k 1.6× 1.2k 1.3× 504 1.5× 266 1.8× 131 1.1× 34 3.1k
Xiangbo Shu 2.3k 1.5× 1.1k 1.2× 271 0.8× 107 0.7× 82 0.7× 85 2.9k
Oriol Pujol 1.0k 0.7× 788 0.9× 270 0.8× 116 0.8× 82 0.7× 85 2.1k
Roland Memisevic 2.0k 1.3× 1.5k 1.7× 245 0.7× 190 1.3× 135 1.2× 43 3.0k
Hamed Pirsiavash 2.3k 1.5× 1.0k 1.1× 174 0.5× 160 1.1× 72 0.6× 54 2.8k
Xinmei Tian 2.1k 1.4× 1.2k 1.4× 343 1.0× 117 0.8× 77 0.7× 116 2.8k
Gregory Shakhnarovich 2.3k 1.5× 818 0.9× 375 1.1× 184 1.2× 114 1.0× 44 3.1k
Yanfeng Wang 1.3k 0.9× 991 1.1× 257 0.8× 84 0.6× 177 1.6× 132 2.3k
I. Cohen 1.9k 1.2× 397 0.4× 240 0.7× 115 0.8× 52 0.5× 41 2.3k

Countries citing papers authored by Mubarak Shah

Since Specialization
Citations

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

Fields of papers citing papers by Mubarak Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mubarak Shah

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