Faiyaz Doctor
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Hani HagrasVic CallaghanRahat IqbalShahid MahmudCharalampos KaryotisTomasz ManiakAnne JamesAntonio M. López
- Topics
- Fuzzy Logic and Control Systems (22 papers)Context-Aware Activity Recognition Systems (12 papers)Neural Networks and Applications (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers in Human BehaviorIEEE Access
- Partner nations
- United KingdomSpainTaiwan
In The Last Decade
Faiyaz Doctor
79 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 649
- Computer Vision and Pattern Recognition 445
- Electrical and Electronic Engineering 294
- Computer Networks and Communications 253
- Control and Systems Engineering 222
Countries citing papers authored by Faiyaz Doctor
This map shows the geographic impact of Faiyaz Doctor'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 Faiyaz Doctor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faiyaz Doctor more than expected).
Fields of papers citing papers by Faiyaz Doctor
This network shows the impact of papers produced by Faiyaz Doctor. 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 Faiyaz Doctor. The network helps show where Faiyaz Doctor may publish in the future.
Co-authorship network of co-authors of Faiyaz Doctor
This figure shows the co-authorship network connecting the top 25 collaborators of Faiyaz Doctor. A scholar is included among the top collaborators of Faiyaz Doctor 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 Faiyaz Doctor. Faiyaz Doctor 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 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 44 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 31 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | Multimodal deep features fusion for video memorability prediction | 2 |
| 12 | 157 | |
| 13 | 2 | |
| 14 | Towards an Innovative Architecture to Monitor and Handle Emotions in Work Scenarios. | 0 |
| 15 | 11 | |
| 16 | 41 | |
| 17 | 16 | |
| 18 | 4 | |
| 19 | 20 | |
| 20 | An adaptive fuzzy learning mechanism for intelligent agents in ubiquitous computing environments | 8 |
About Faiyaz Doctor
Faiyaz Doctor is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (22 papers), Context-Aware Activity Recognition Systems (12 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (445 citations), Artificial Intelligence (649 citations) and Transportation (87 citations). Faiyaz Doctor has collaborated with scholars based in United Kingdom, Spain and Taiwan. Frequent co-authors include Hani Hagras, Vic Callaghan, Rahat Iqbal, Rahat Iqbal, Shahid Mahmud, Charalampos Karyotis, Tomasz Maniak, Anne James, Antonio M. López and Arun Kumar Sangaiah. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Access.
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.