Mohamed Khalil-Hani
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Cardiology and Cardiovascular Medicine
- Co-authors
- Rabia BakhteriShan Sung LiewSyafeeza Ahmad RadziMuhammad Nadzir MarsonoM. B. MalarviliHamdan AbdellatefAb Al-Hadi Ab RahmanRiadh Sahnoun
- Topics
- Biometric Identification and Security (12 papers)Face and Expression Recognition (9 papers)Machine Learning and ELM (6 papers)
In The Last Decade
Mohamed Khalil-Hani
53 papers receiving 835 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 300
- Artificial Intelligence 263
- Signal Processing 228
- Electrical and Electronic Engineering 120
- Cardiology and Cardiovascular Medicine 118
Countries citing papers authored by Mohamed Khalil-Hani
This map shows the geographic impact of Mohamed Khalil-Hani'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 Mohamed Khalil-Hani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Khalil-Hani more than expected).
Fields of papers citing papers by Mohamed Khalil-Hani
This network shows the impact of papers produced by Mohamed Khalil-Hani. 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 Mohamed Khalil-Hani. The network helps show where Mohamed Khalil-Hani may publish in the future.
Co-authorship network of co-authors of Mohamed Khalil-Hani
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Khalil-Hani. A scholar is included among the top collaborators of Mohamed Khalil-Hani 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 Mohamed Khalil-Hani. Mohamed Khalil-Hani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 12 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 48 | |
| 6 | 6 | |
| 7 | 51 | |
| 8 | GENERALIZING CONVOLUTIONAL NEURAL NETWORKS FOR PATTERN RECOGNITION TASKS | 3 |
| 9 | 4 | |
| 10 | Convolutional Neural Network for Face Recognition with Pose and Illumination Variation | 51 |
| 11 | 14 | |
| 12 | 6 | |
| 13 | 12 | |
| 14 | 6 | |
| 15 | Personal verification using finger vein biometrics in FPGA-based System-on-Chip | 8 |
| 16 | 17 | |
| 17 | 12 | |
| 18 | Optimizing multi-constraint VLSI interconnect routing | 2 |
| 19 | 4 | |
| 20 | 1 |
About Mohamed Khalil-Hani
Mohamed Khalil-Hani is a scholar working on Hardware and Architecture, Signal Processing and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 881 indexed citations. Recurring topics across this work include Biometric Identification and Security (12 papers), Face and Expression Recognition (9 papers) and Machine Learning and ELM (6 papers). The work is most often cited by research in Signal Processing (228 citations), Computer Vision and Pattern Recognition (300 citations) and Artificial Intelligence (263 citations). Mohamed Khalil-Hani has collaborated with scholars based in Malaysia, Lebanon and Australia. Frequent co-authors include Rabia Bakhteri, Shan Sung Liew, Syafeeza Ahmad Radzi, Muhammad Nadzir Marsono, M. B. Malarvili, Hamdan Abdellatef, Ab Al-Hadi Ab Rahman, Riadh Sahnoun, Yuan Wen Hau and Marc Ibrahim. Their work appears in journals such as Neurocomputing, Signal Processing and Future Generation Computer Systems.
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.