Fuad M. Alkoot
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Information Systems
- Computer Networks and Communications
- Co-authors
- Josef KittlerNorman Poh
- Topics
- Face and Expression Recognition (6 papers)Machine Learning and Data Classification (5 papers)Neural Networks and Applications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligencePattern Recognition Letters
- Partner nations
- KuwaitUnited KingdomUnited States
In The Last Decade
Fuad M. Alkoot
17 papers receiving 303 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 161
- Computer Vision and Pattern Recognition 156
- Signal Processing 81
- Information Systems 39
- Computer Networks and Communications 19
Countries citing papers authored by Fuad M. Alkoot
This map shows the geographic impact of Fuad M. Alkoot'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 Fuad M. Alkoot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuad M. Alkoot more than expected).
Fields of papers citing papers by Fuad M. Alkoot
This network shows the impact of papers produced by Fuad M. Alkoot. 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 Fuad M. Alkoot. The network helps show where Fuad M. Alkoot may publish in the future.
Co-authorship network of co-authors of Fuad M. Alkoot
This figure shows the co-authorship network connecting the top 25 collaborators of Fuad M. Alkoot. A scholar is included among the top collaborators of Fuad M. Alkoot 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 Fuad M. Alkoot. Fuad M. Alkoot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | Using Classifiers to Predict Student Outcome at Higher Institute of Telecommunication | 1 |
| 4 | 3 | |
| 5 | 1 | |
| 6 | Multimodal biometric authentication using adaptive decision boundaries | 3 |
| 7 | 0 | |
| 8 | A discriminative parametric approach to video-based score-level fusion for biometric authentication | 8 |
| 9 | 9 | |
| 10 | Experimental evaluation of diversity measures of combined classifiers | 0 |
| 11 | 1 | |
| 12 | Investigating methods for improving bagged k-NN classifiers | 0 |
| 13 | Measurement of Low Frequency Electromagnetic Radiation Emitted from Overhead Power Lines in the State of Kuwait | 1 |
| 14 | 2 | |
| 15 | 163 | |
| 16 | 18 | |
| 17 | 14 | |
| 18 | 4 | |
| 19 | 17 | |
| 20 | 65 |
About Fuad M. Alkoot
Fuad M. Alkoot is a scholar working on Signal Processing, Biophysics and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 329 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Machine Learning and Data Classification (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (156 citations), Signal Processing (81 citations) and Artificial Intelligence (161 citations). Fuad M. Alkoot has collaborated with scholars based in Kuwait, United Kingdom and United States. Frequent co-authors include Josef Kittler and Norman Poh. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.