Khalid Tahboub

539 total citations
17 papers, 363 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 363 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), Anomaly Detection Techniques and Applications (5 papers) and Human Pose and Action Recognition (5 papers). Khalid Tahboub is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Human Pose and Action Recognition (5 papers). Khalid Tahboub collaborates with scholars based in United States, Poland and Spain. Khalid Tahboub's co-authors include Edward J. Delp, Jarek Duda, Amy R. Reibman, Moataz Ahmed, David Güera, Fengqing Zhu, Chang Liu, David Kirsh, Carol J. Boushey and Paweł Korus 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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khalid Tahboub United States 8 286 118 90 27 26 17 363
Hua Yang China 12 438 1.5× 74 0.6× 167 1.9× 54 2.0× 126 4.8× 77 505
Qingming Huang China 11 271 0.9× 16 0.1× 122 1.4× 29 1.1× 51 2.0× 25 337
Wei Qu China 8 193 0.7× 16 0.1× 117 1.3× 19 0.7× 10 0.4× 37 275
Maodi Hu China 9 298 1.0× 284 2.4× 92 1.0× 6 0.2× 24 0.9× 21 393
Yuyang Liu China 9 84 0.3× 19 0.2× 122 1.4× 19 0.7× 10 0.4× 14 215
Tobias Weyand Germany 7 404 1.4× 32 0.3× 94 1.0× 12 0.4× 4 0.2× 10 508
Daniel Berjón Spain 10 219 0.8× 16 0.1× 39 0.4× 16 0.6× 35 1.3× 33 328
Haichao Shi China 12 231 0.8× 42 0.4× 206 2.3× 36 1.3× 32 1.2× 25 347
Chih‐Yi Chiu Taiwan 11 357 1.2× 14 0.1× 73 0.8× 13 0.5× 64 2.5× 46 424

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

17 of 17 papers shown
1.
Liu, Chang, et al.. (2018). cTADA: The Design of a Crowdsourcing Tool for Online Food Image Identification and Segmentation. eSpace (Curtin University). 8694. 25–28. 11 indexed citations
2.
Tahboub, Khalid, David Güera, Amy R. Reibman, & Edward J. Delp. (2017). Quality-adaptive deep learning for pedestrian detection. 4187–4191. 10 indexed citations
3.
Tahboub, Khalid, Amy R. Reibman, & Edward J. Delp. (2017). Accuracy prediction for pedestrian detection. 61. 4192–4196. 9 indexed citations
4.
Kim, Joonsoo, Khalid Tahboub, & Edward J. Delp. (2017). Spatial pyramid alignment for sparse coding based object classification. 1950–1954. 1 indexed citations
5.
Tahboub, Khalid, et al.. (2017). A Two Stream Siamese Convolutional Neural Network for Person Re-identification. 1992–2000. 206 indexed citations
6.
Tahboub, Khalid, et al.. (2016). Superpixels shape analysis for carried object detection. 10. 1–6. 2 indexed citations
7.
Tahboub, Khalid, et al.. (2016). Person re-identification using a patch-based appearance model. 61. 764–768. 5 indexed citations
8.
Korus, Paweł, et al.. (2015). Image-Like 2D Barcodes Using Generalizations of the Kuznetsov–Tsybakov Problem. IEEE Transactions on Information Forensics and Security. 11(4). 691–703. 4 indexed citations
9.
Duda, Jarek, et al.. (2015). The use of asymmetric numeral systems as an accurate replacement for Huffman coding. Homo Politicus (Academy of Humanities and Economics in Lodz). 65–69. 67 indexed citations
10.
Tahboub, Khalid, et al.. (2015). An intelligent crowdsourcing system for forensic analysis of surveillance video. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9407. 94070I–94070I. 9 indexed citations
11.
Tahboub, Khalid, et al.. (2014). Automatic detection of abnormal human events on train platforms. 2. 169–173. 14 indexed citations
12.
Tahboub, Khalid, et al.. (2014). Automated crowd flow estimation enhanced by crowdsourcing. 9027. 174–179. 2 indexed citations
13.
Duda, Jarek, et al.. (2014). Generalizations of the Kuznetsov-Tsybakov problem for generating image-like 2D barcodes. 2200. 4221–4225. 3 indexed citations
14.
Tahboub, Khalid, et al.. (2014). An HEVC compressed domain content-based video signature for copy detection and video retrieval. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9027. 90270E–90270E. 2 indexed citations
15.
Tahboub, Khalid, et al.. (2014). A web-based video annotation system for crowdsourcing surveillance videos. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9027. 90270A–90270A. 9 indexed citations
16.
Ahmed, Moataz & Khalid Tahboub. (2005). Recursive Wiener filtering for image restoration. 9. 112–115. 3 indexed citations
17.
Ahmed, Moataz & Khalid Tahboub. (1986). Recursive Wiener filtering for image restoration. IEEE Transactions on Acoustics Speech and Signal Processing. 34(4). 990–992. 6 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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