Rabia Bakhteri
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Genetics
- Information Systems top 10%
- Co-authors
- Mohamed Khalil-HaniShan Sung LiewSyafeeza Ahmad RadziMuhammad Nadzir MarsonoYuan Wen HauJulian ChengChia Yee Ooi
- Topics
- Biometric Identification and Security (6 papers)EEG and Brain-Computer Interfaces (5 papers)Face and Expression Recognition (5 papers)
In The Last Decade
Rabia Bakhteri
21 papers receiving 466 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 218
- Signal Processing 183
- Artificial Intelligence 101
- Genetics 63
- Information Systems 56
Countries citing papers authored by Rabia Bakhteri
This map shows the geographic impact of Rabia Bakhteri'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 Rabia Bakhteri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rabia Bakhteri more than expected).
Fields of papers citing papers by Rabia Bakhteri
This network shows the impact of papers produced by Rabia Bakhteri. 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 Rabia Bakhteri. The network helps show where Rabia Bakhteri may publish in the future.
Co-authorship network of co-authors of Rabia Bakhteri
This figure shows the co-authorship network connecting the top 25 collaborators of Rabia Bakhteri. A scholar is included among the top collaborators of Rabia Bakhteri 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 Rabia Bakhteri. Rabia Bakhteri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 38 | |
| 6 | 115 | |
| 7 | 13 | |
| 8 | Gender classication: a convolutional neural network approach | 1 |
| 9 | 59 | |
| 10 | ARRHYTHMIA DETECTION BASED ON HERMITE POLYNOMIAL EXPANSION AND MULTILAYER PERCEPTRON ON SYSTEM-ON-CHIP IMPLEMENTATION | 2 |
| 11 | 9 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | Convolutional Neural Network for Face Recognition with Pose and Illumination Variation | 51 |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 12 | |
| 18 | 24 | |
| 19 | 12 | |
| 20 | 8 |
About Rabia Bakhteri
Rabia Bakhteri is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 493 indexed citations. Recurring topics across this work include Biometric Identification and Security (6 papers), EEG and Brain-Computer Interfaces (5 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Signal Processing (183 citations), Computer Vision and Pattern Recognition (218 citations) and Artificial Intelligence (101 citations). Rabia Bakhteri has collaborated with scholars based in Malaysia and Canada. Frequent co-authors include Mohamed Khalil-Hani, Shan Sung Liew, Syafeeza Ahmad Radzi, Muhammad Nadzir Marsono, Yuan Wen Hau, Julian Cheng and Chia Yee Ooi. Their work appears in journals such as Neurocomputing, Future Generation Computer Systems and Journal of Real-Time Image Processing.
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.