Khalid Tahboub

25 total papers · 536 total citations
17 papers, 362 citations indexed

About

Khalid Tahboub is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Khalid Tahboub has authored 17 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Khalid Tahboub's work include Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Khalid Tahboub is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Khalid Tahboub collaborates with scholars based in United States, Saudi Arabia and Poland. Khalid Tahboub's co-authors include Edward J. Delp, Jarek Duda, Amy R. Reibman, Moataz Ahmed, David Güera, Chang Liu, Fengqing Zhu, David Kirsh, Carol J. Boushey and Mary L. Comer and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, eSpace (Curtin University) and IEEE Transactions on Acoustics Speech and Signal Processing.

In The Last Decade

Khalid Tahboub

17 papers receiving 348 citations

Author Peers

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

Author Last Decade Papers Cites
Khalid Tahboub 285 117 90 27 26 17 362
Vinay Shet 293 1.0× 61 0.5× 111 1.2× 15 0.6× 26 1.0× 15 342
Kevin Cannons 306 1.1× 39 0.3× 119 1.3× 10 0.4× 21 0.8× 15 394
Sarvesh Vishwakarma 297 1.0× 67 0.6× 169 1.9× 32 1.2× 36 1.4× 16 355
Abhay Kumar Alok 163 0.6× 93 0.8× 136 1.5× 16 0.6× 19 0.7× 18 333
Athira Nambiar 276 1.0× 153 1.3× 56 0.6× 22 0.8× 13 0.5× 27 383
Xi Chen 253 0.9× 87 0.7× 109 1.2× 22 0.8× 23 0.9× 20 327
Fun Ye 104 0.4× 40 0.3× 217 2.4× 54 2.0× 25 1.0× 15 366
Hossein Hajimirsadeghi 162 0.6× 25 0.2× 155 1.7× 15 0.6× 12 0.5× 18 328
Ionuţ Cosmin Duţă 313 1.1× 66 0.6× 135 1.5× 9 0.3× 41 1.6× 11 370
Xuan Zhang 153 0.5× 61 0.5× 73 0.8× 11 0.4× 13 0.5× 12 306

Countries citing papers authored by Khalid Tahboub

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Tahboub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khalid Tahboub

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