Mustaqeem Khan
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Signal Processing top 10%
- Plant Science
- Co-authors
- Abdulmotaleb El SaddikWail GueaiebSoonil KwonG. MasiNhat Truong PhamMi Young LeeMustaqeem MustaqeemHabib Khan
- Topics
- Emotion and Mood Recognition (7 papers)Anomaly Detection Techniques and Applications (7 papers)Video Surveillance and Tracking Methods (6 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionSignal Processing
- Partner nations
- United Arab EmiratesCanadaSouth Korea
In The Last Decade
Mustaqeem Khan
32 papers receiving 339 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 120
- Artificial Intelligence 108
- Experimental and Cognitive Psychology 78
- Signal Processing 59
- Plant Science 48
Countries citing papers authored by Mustaqeem Khan
This map shows the geographic impact of Mustaqeem 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 Mustaqeem Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mustaqeem Khan more than expected).
Fields of papers citing papers by Mustaqeem Khan
This network shows the impact of papers produced by Mustaqeem 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 Mustaqeem Khan. The network helps show where Mustaqeem Khan may publish in the future.
Co-authorship network of co-authors of Mustaqeem Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Mustaqeem Khan. A scholar is included among the top collaborators of Mustaqeem 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 Mustaqeem Khan. Mustaqeem Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusionbreakdown → | 16 |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 53 | |
| 15 | 3 | |
| 16 | 36 | |
| 17 | 17 | |
| 18 | 8 | |
| 19 | 63 | |
| 20 | 1 |
About Mustaqeem Khan
Mustaqeem Khan is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 36 papers that have together received 343 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (7 papers), Anomaly Detection Techniques and Applications (7 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (78 citations), Computer Vision and Pattern Recognition (120 citations) and Signal Processing (59 citations). Mustaqeem Khan has collaborated with scholars based in United Arab Emirates, Canada and South Korea. Frequent co-authors include Abdulmotaleb El Saddik, Wail Gueaieb, Soonil Kwon, G. Masi, Nhat Truong Pham, Mi Young Lee, Mustaqeem Mustaqeem, Habib Khan, Ijaz Ul Haq and Muhammad Munsif. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
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.