Faiyaz Doctor
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- Context-Aware Activity Recognition Systems 12
- Artificial Intelligence top 2%
- Fuzzy Logic and Control Systems 22
- Neural Networks and Applications 8
- Data Stream Mining Techniques 7
- Transportation top 5%
- Building and Construction top 5%
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- EEG and Brain-Computer Interfaces 8
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- Fault Detection and Control Systems 7
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- Energy Efficiency in Computing 7
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- Multi-Criteria Decision Making 6
- Co-authors
- Hani HagrasVic CallaghanRahat IqbalShahid MahmudCharalampos KaryotisTomasz ManiakAnne JamesAntonio M. López
- Journals
- SHILAP Revista de lepidopterología (1 paper)Computers in Human Behavior (1 paper)IEEE Access (1 paper)
- Partner nations
- United KingdomSpainTaiwan
In The Last Decade
Faiyaz Doctor
79 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 445
- Artificial Intelligence 649
- Transportation 87
- Building and Construction 173
- Management Information Systems 111
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
The 25 scholars most cited alongside Faiyaz Doctor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 44 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 31 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 16 | |
| 11 | Multimodal deep features fusion for video memorability prediction | 2019 | 2 |
| 12 | 2019 | 157 | |
| 13 | 2018 | 2 | |
| 14 | Towards an Innovative Architecture to Monitor and Handle Emotions in Work Scenarios. | 2018 | 0 |
| 15 | 2018 | 11 | |
| 16 | 2018 | 41 | |
| 17 | 2015 | 16 | |
| 18 | 2013 | 4 | |
| 19 | 2011 | 20 | |
| 20 | An adaptive fuzzy learning mechanism for intelligent agents in ubiquitous computing environments | 2004 | 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), Neural Networks and Applications (8 papers), EEG and Brain-Computer Interfaces (8 papers), Fault Detection and Control Systems (7 papers), Energy Efficiency in Computing (7 papers), Data Stream Mining Techniques (7 papers) and Multi-Criteria Decision Making (6 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.