Ali Chekima
Impact in
- Signal Processing top 5%
- Biometric Identification and Security
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Face recognition and analysis 9
- Face and Expression Recognition 8
- Human Pose and Action Recognition 8
- Video Surveillance and Tracking Methods 6
- Advanced Data Compression Techniques 5
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- Biometric Identification and Security 11
- Co-authors
- Jamal Ahmad Dargham (29 shared papers)Hoe Tung Yew (13 shared papers)G. Sainarayanan (13 shared papers)Farrah Wong (17 shared papers)Sigeru Omatu (6 shared papers)William A. Pearlman (1 shared paper)Ervin Gubin Moung (6 shared papers)Jason Teo (3 shared papers)
In The Last Decade
Ali Chekima
70 papers receiving 543 citations
Peers
Comparison fields: 5 of 96
- Signal Processing 166
- Human-Computer Interaction 71
- Computer Vision and Pattern Recognition 259
- Information Systems 114
- Computer Networks and Communications 114
Countries citing papers authored by Ali Chekima
This map shows the geographic impact of Ali Chekima'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 Ali Chekima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Chekima more than expected).
Fields of papers citing papers by Ali Chekima
This network shows the impact of papers produced by Ali Chekima. 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 Ali Chekima. The network helps show where Ali Chekima may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Chekima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 93 | |
| 2 | 2003 | 66 | |
| 3 | 2010 | 42 | |
| 4 | 2010 | 25 | |
| 5 | Gait Recognition using Gait Energy Image | 2011 | 20 |
| 6 | 2008 | 20 | |
| 7 | 2008 | 20 | |
| 8 | Palmprint Based Biometric System: A Comparative Study on Discrete Cosine Transform Energy, Wavelet Transform Energy and SobelCode Methods | 2009 | 17 |
| 9 | 2006 | 16 | |
| 10 | 2006 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2017 | 14 | |
| 13 | 1984 | 14 | |
| 14 | 2019 | 13 | |
| 15 | 2009 | 13 | |
| 16 | 2023 | 12 | |
| 17 | 2010 | 12 | |
| 18 | 2011 | 11 | |
| 19 | 2003 | 11 | |
| 20 | 2023 | 10 |
About Ali Chekima
Ali Chekima is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Biomedical Engineering and Artificial Intelligence, having authored 73 papers that have together received 634 indexed citations. Recurring topics across this work include Biometric Identification and Security (11 papers), Spectroscopy and Chemometric Analyses (10 papers), Face recognition and analysis (9 papers), Face and Expression Recognition (8 papers), Human Pose and Action Recognition (8 papers), Smart Agriculture and AI (8 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Data Compression Techniques (5 papers). The work is most often cited by research in Signal Processing (166 citations), Human-Computer Interaction (71 citations), Computer Vision and Pattern Recognition (259 citations), Information Systems (114 citations) and Computer Networks and Communications (114 citations). Ali Chekima has collaborated with scholars based in Malaysia, Japan and Pakistan. Frequent co-authors include Jamal Ahmad Dargham, Hoe Tung Yew, G. Sainarayanan, Farrah Wong, Sigeru Omatu, William A. Pearlman, Ervin Gubin Moung, Jason Teo, Edward K. Wong and Muralindran Mariappan. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Wireless Communications Letters, Electronics, IEEE Access and Children.
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.