Aftab Khan

1.4k total citations
50 papers, 875 citations indexed

About

Aftab Khan is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Aftab Khan has authored 50 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Electrical and Electronic Engineering and 14 papers in Computer Networks and Communications. Recurrent topics in Aftab Khan's work include Context-Aware Activity Recognition Systems (9 papers), Human Pose and Action Recognition (8 papers) and Indoor and Outdoor Localization Technologies (7 papers). Aftab Khan is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Human Pose and Action Recognition (8 papers) and Indoor and Outdoor Localization Technologies (7 papers). Aftab Khan collaborates with scholars based in United Kingdom, Japan and United States. Aftab Khan's co-authors include Thomas Plötz, Sebastian Mellor, Nils Hammerla, Usman Raza, Shengyang Li, Mahesh Sooriyabandara, Nicholas D. Embleton, Michael I. Trenell, Claire Marcroft and Stephen Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Aftab Khan

46 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aftab Khan United Kingdom 15 273 233 211 147 111 50 875
Roberto Casas Spain 18 386 1.4× 220 0.9× 314 1.5× 96 0.7× 103 0.9× 55 1.1k
Dan Istrate France 14 88 0.3× 267 1.1× 110 0.5× 238 1.6× 125 1.1× 73 850
Sarah Ostadabbas United States 21 111 0.4× 389 1.7× 62 0.3× 561 3.8× 124 1.1× 106 1.5k
Sandra Dudley United Kingdom 20 447 1.6× 63 0.3× 105 0.5× 430 2.9× 98 0.9× 115 1.1k
Ali Al‐Naji Australia 21 187 0.7× 375 1.6× 118 0.6× 767 5.2× 81 0.7× 83 1.6k
Lau Bee Theng Malaysia 11 42 0.2× 181 0.8× 64 0.3× 62 0.4× 112 1.0× 81 656
Jorge I. Galván-Tejada Mexico 14 90 0.3× 158 0.7× 37 0.2× 48 0.3× 170 1.5× 78 937
José M. Celaya-Padilla Mexico 15 66 0.2× 151 0.6× 29 0.1× 51 0.3× 168 1.5× 84 927
Sebastian Lange Germany 11 232 0.8× 124 0.5× 458 2.2× 51 0.3× 96 0.9× 44 1.1k
Shibo Zhang United States 12 89 0.3× 312 1.3× 69 0.3× 184 1.3× 153 1.4× 26 1.2k

Countries citing papers authored by Aftab Khan

Since Specialization
Citations

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

Fields of papers citing papers by Aftab Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aftab Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Aftab Khan. A scholar is included among the top collaborators of Aftab Khan 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 Aftab Khan. Aftab Khan 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.
Anthi, Eirini, et al.. (2025). Collaborative intrusion detection in resource-constrained IoT environments: Challenges, methods, and future directions a review. Journal of Information Security and Applications. 93. 104127–104127.
2.
3.
Mavromatis, Ioannis, Yichao Jin, Tim Farnham, et al.. (2024). UMBRELLA: A One-Stop Shop Bridging the Gap From Lab to Real-World IoT Experimentation. IEEE Access. 12. 42181–42213. 7 indexed citations
4.
Mavromatis, Ioannis, Theodoros Spyridopoulos, Woon Hau Chin, et al.. (2024). Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs. SHILAP Revista de lepidopterología. 10(4). e5–e5. 1 indexed citations
5.
6.
Pope, James, et al.. (2023). Multi-sensor, multi-device smart building indoor environmental dataset. Data in Brief. 49. 109392–109392. 1 indexed citations
7.
Piechocki, Robert J., et al.. (2023). Client Tuned Federated Learning for RSSI-based Indoor Localisation. 2 indexed citations
8.
Mavromatis, Ioannis & Aftab Khan. (2023). Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework. 22. 917–918. 4 indexed citations
9.
Mavromatis, Ioannis, et al.. (2023). LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. Explore Bristol Research. 7 indexed citations
10.
11.
Mavromatis, Ioannis, et al.. (2022). A dataset of images of public streetlights with operational monitoring using computer vision techniques. Data in Brief. 45. 108658–108658. 8 indexed citations
12.
Li, Peizheng, Han Cui, Aftab Khan, et al.. (2021). Wireless Localisation in WiFi using Novel Deep Architectures. Explore Bristol Research. 6251–6258. 16 indexed citations
13.
Khan, Aftab, Sebastian Mellor, Rachel King, et al.. (2020). Generalized and Efficient Skill Assessment from IMU Data with Applications in Gymnastics and Medical Training. CentAUR (University of Reading). 2(1). 1–21. 9 indexed citations
14.
Singh, Raghubir, Simon Armour, Aftab Khan, Mahesh Sooriyabandara, & George Oikonomou. (2019). The Advantage of Computation Offloading in Multi-Access Edge Computing. Bristol Research (University of Bristol). 289–294. 5 indexed citations
15.
Jones, Michael, et al.. (2017). ParkUs 2.0. Bristol Research (University of Bristol). 242–251. 14 indexed citations
16.
Khan, Aftab, et al.. (2017). Phaser measurements estimation on distribution networks using machine learning. 2011. 1–6. 2 indexed citations
17.
Khan, Aftab, et al.. (2016). HealthyOffice: Mood recognition at work using smartphones and wearable sensors. ePrints Soton (University of Southampton). 1–6. 77 indexed citations
18.
Marcroft, Claire, et al.. (2015). Movement Recognition Technology as a Method of Assessing Spontaneous General Movements in High Risk Infants. Frontiers in Neurology. 5. 284–284. 105 indexed citations
19.
Khan, Aftab, Sebastian Mellor, Robin Thompson, et al.. (2015). Beyond activity recognition. 1155–1166. 51 indexed citations
20.

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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