Saad Ali

4.9k total citations · 2 hit papers
37 papers, 3.1k citations indexed

About

Saad Ali is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Saad Ali has authored 37 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Saad Ali's work include Human Pose and Action Recognition (10 papers), Video Analysis and Summarization (10 papers) and Anomaly Detection Techniques and Applications (10 papers). Saad Ali is often cited by papers focused on Human Pose and Action Recognition (10 papers), Video Analysis and Summarization (10 papers) and Anomaly Detection Techniques and Applications (10 papers). Saad Ali collaborates with scholars based in United States, Lebanon and France. Saad Ali's co-authors include Mubarak Shah, Jingen Liu, Omar Javed, Arslan Basharat, Mubarak Shah, Takeo Kanade, Mikel Rodríguez, Min Hu, Amir Tamrakar and Hui Cheng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Saad Ali

36 papers receiving 2.9k citations

Hit Papers

A 3-dimensional sift descriptor and its application to ac... 2007 2026 2013 2019 2007 2007 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saad Ali United States 17 2.8k 1.4k 586 293 239 37 3.1k
Wu Liu China 32 2.9k 1.0× 750 0.5× 811 1.4× 224 0.8× 87 0.4× 139 3.5k
R. Venkatesh Babu India 31 3.2k 1.2× 1.7k 1.2× 256 0.4× 144 0.5× 117 0.5× 149 3.9k
Feng Zheng China 31 2.7k 1.0× 965 0.7× 524 0.9× 142 0.5× 67 0.3× 133 3.6k
I. Haritaoglu United States 15 2.9k 1.0× 630 0.5× 293 0.5× 216 0.7× 75 0.3× 34 3.1k
James Ferryman United Kingdom 26 1.8k 0.7× 661 0.5× 194 0.3× 118 0.4× 143 0.6× 112 2.3k
Weiming Hu China 18 2.2k 0.8× 1.3k 0.9× 1.2k 2.0× 378 1.3× 98 0.4× 43 3.2k
Hamed Pirsiavash United States 21 2.3k 0.8× 1.0k 0.7× 175 0.3× 159 0.5× 72 0.3× 54 2.8k
T.N. Tan United Kingdom 8 1.6k 0.6× 543 0.4× 450 0.8× 182 0.6× 61 0.3× 14 1.9k
Ramakant Nevatia United States 25 2.8k 1.0× 724 0.5× 272 0.5× 168 0.6× 263 1.1× 63 3.3k
Cuiling Lan China 27 4.1k 1.5× 2.0k 1.4× 1.8k 3.0× 715 2.4× 115 0.5× 62 5.1k

Countries citing papers authored by Saad Ali

Since Specialization
Citations

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

Fields of papers citing papers by Saad Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saad Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Saad Ali. A scholar is included among the top collaborators of Saad Ali 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 Saad Ali. Saad Ali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Srinivasulu, Asadi, et al.. (2023). Prostate Cancer Prediction and Detection Using Hybrid CNN-Deep Learning Techniques. 8(3). 2 indexed citations
2.
Ali, Saad, Ali Usman, Saad Arif, & Marcus Liwicki. (2023). Bearing Fault Detection Scheme Using Machine Learning for Condition Monitoring Applications. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4 indexed citations
3.
Gupta, Shivangi, et al.. (2020). Motion induced segmentation of stone fragments in ureteroscopy video. Oxford University Research Archive (ORA) (University of Oxford). 11315. 39–39. 1 indexed citations
4.
Ali, Saad, et al.. (2015). Detection of freezing of gait for Parkinson’s disease patients with multi-sensor device and Gaussian neural networks. International Journal of Machine Learning and Cybernetics. 8(3). 941–954. 29 indexed citations
5.
6.
Ali, Saad, et al.. (2013). About detection and diagnosis of Freezing of Gait. 9. 117–120. 5 indexed citations
7.
Ali, Saad. (2013). Measuring Flow Complexity in Videos. 1097–1104. 14 indexed citations
8.
Cheng, Hui, Jingen Liu, Saad Ali, et al.. (2012). SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting.. Journal of International Crisis and Risk Communication Research. 14 indexed citations
9.
Tamrakar, Amir, Saad Ali, Qian Yu, et al.. (2012). Evaluation of low-level features and their combinations for complex event detection in open source videos. 4. 3681–3688. 98 indexed citations
10.
Moore, Brian E., Saad Ali, Ramin Mehran, & Mubarak Shah. (2011). Visual crowd surveillance through a hydrodynamics lens. Communications of the ACM. 54(12). 64–73. 38 indexed citations
11.
Cheng, Hui, Amir Tamrakar, Saad Ali, et al.. (2011). Team SRI-Sarnoff 's AURORA System @ TRECVID 2011. Journal of International Crisis and Risk Communication Research. 3 indexed citations
12.
Ali, Saad & Simon Lucey. (2010). Are Correlation Filters Useful for Human Action Recognition?. 2608–2611. 9 indexed citations
13.
Rodríguez, Mikel, Saad Ali, & Takeo Kanade. (2009). Tracking in unstructured crowded scenes. Journal of International Crisis and Risk Communication Research. 1389–1396. 131 indexed citations
14.
Ali, Saad, Jieping Ye, A. Razdan, & Peter Wonka. (2008). Compressed Facade Displacement Maps. IEEE Transactions on Visualization and Computer Graphics. 15(2). 262–273. 12 indexed citations
15.
Liu, Jingen, Saad Ali, & Mubarak Shah. (2008). Recognizing human actions using multiple features. Journal of International Crisis and Risk Communication Research. 1–8. 194 indexed citations
16.
Ali, Saad & Mubarak Shah. (2008). Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(2). 288–303. 314 indexed citations
17.
Hu, Min, Saad Ali, & Mubarak Shah. (2008). Learning motion patterns in crowded scenes using motion flow field. Proceedings - International Conference on Pattern Recognition. 1–5. 75 indexed citations
18.
Hu, Min, Saad Ali, & Mubarak Shah. (2008). Detecting global motion patterns in complex videos. Proceedings - International Conference on Pattern Recognition. 1–5. 57 indexed citations
19.
Ali, Saad & Mubarak Shah. (2007). A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis. Journal of International Crisis and Risk Communication Research. 1–6. 430 indexed citations breakdown →
20.
Ali, Saad & Mubarak Shah. (2006). COCOA: tracking in aerial imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 67 indexed citations

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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