Aftab Khan

46 papers receiving 864 citations

Peers

Aftab Khan
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 230
  • Computer Networks and Communications 217
  • Signal Processing 85
  • Human-Computer Interaction 40
  • Building and Construction 76
Replace Dan Istrate with:
Dan Istrate France
Jorge I. Galván-Tejada Mexico
José M. Celaya-Padilla Mexico
Frédéric Li Germany
Hermanus C. Myburgh South Africa
Ali Etemad Canada
Álvaro Marco Spain
Adam T. Barth United States
Anuchit Jitpattanakul Thailand
Zhongcheng Wu China
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Citations per year

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-authors

The 25 scholars most cited alongside Aftab Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aftab Khan Line = papers co-authored together Aftab Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016126
2 2015109
3 201894
4 201679
5 201857
6 201551
7 201451
8 201740
9 202122
10 201719
11 202117
12 202317
13 202117
14 201315
15 201914
16 201714
17 201412
18 201010
19 20229
20 20209

About Aftab Khan

Aftab Khan is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 48 papers that have together received 885 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), Human Pose and Action Recognition (8 papers), Indoor and Outdoor Localization Technologies (7 papers), Anomaly Detection Techniques and Applications (6 papers), Video Analysis and Summarization (6 papers), IoT and Edge/Fog Computing (5 papers), Air Quality Monitoring and Forecasting (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (230 citations), Computer Networks and Communications (217 citations), Signal Processing (85 citations), Human-Computer Interaction (40 citations) and Building and Construction (76 citations). Aftab Khan has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Thomas Plötz, Sebastian Mellor, Nils Hammerla, Usman Raza, Shengyang Li, Mahesh Sooriyabandara, Claire Marcroft, Michael I. Trenell, Nicholas D. Embleton and Stephen Wang. Their work appears in journals such as Data in Brief, IEEE Communications Letters, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Green Communications and Networking and Pattern Recognition Letters.

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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