Faiyaz Doctor

2.8k total citations
81 papers, 1.9k citations indexed

About

Faiyaz Doctor is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Faiyaz Doctor has authored 81 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Faiyaz Doctor's work include Fuzzy Logic and Control Systems (22 papers), Context-Aware Activity Recognition Systems (12 papers) and Neural Networks and Applications (8 papers). Faiyaz Doctor is often cited by papers focused on Fuzzy Logic and Control Systems (22 papers), Context-Aware Activity Recognition Systems (12 papers) and Neural Networks and Applications (8 papers). Faiyaz Doctor collaborates with scholars based in United Kingdom, Spain and Taiwan. Faiyaz Doctor's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Access.

In The Last Decade

Faiyaz Doctor

79 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Faiyaz Doctor United Kingdom	23	649	445	294	253	222	81	1.9k
Paulo Nováis Portugal	24	720 1.1×	468 1.1×	216 0.7×	246 1.0×	136 0.6×	268	2.4k
Sebti Foufou France	20	720 1.1×	527 1.2×	202 0.7×	383 1.5×	165 0.7×	146	2.3k
Juan F. De Paz Spain	25	551 0.8×	301 0.7×	334 1.1×	468 1.8×	144 0.6×	140	2.1k
Javier Bajo Spain	26	680 1.0×	446 1.0×	326 1.1×	703 2.8×	131 0.6×	144	2.2k
Kwok Tai Chui Hong Kong	22	488 0.8×	295 0.7×	306 1.0×	374 1.5×	182 0.8×	170	1.9k
Michael Weyrich Germany	28	532 0.8×	227 0.5×	311 1.1×	498 2.0×	477 2.1×	232	3.2k
Raed Abu Zitar Jordan	29	1.0k 1.6×	425 1.0×	431 1.5×	196 0.8×	298 1.3×	124	2.4k
Sara Rodrı́guez Spain	22	397 0.6×	322 0.7×	251 0.9×	586 2.3×	160 0.7×	122	1.9k
Yung-Cheol Byun South Korea	29	596 0.9×	442 1.0×	674 2.3×	381 1.5×	285 1.3×	158	2.8k
Vicente García‐Díaz Spain	24	580 0.9×	257 0.6×	218 0.7×	398 1.6×	115 0.5×	120	2.0k

Countries citing papers authored by Faiyaz Doctor

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Doctor, Faiyaz, et al.. (2024). AI Driven Streamlining of Appliance Load Monitoring in Facilities Management. 16. 130–133. 1 indexed citations

Doctor, Faiyaz, Usama Arshad, Kia Dashtipour, et al.. (2024). Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modeling and User Preference Learning. IEEE Transactions on Fuzzy Systems. 32(10). 5400–5412. 2 indexed citations

Doctor, Faiyaz, Ting Zhou, Arif Reza Anwary, et al.. (2024). Mobile phone-based speech enhancement using cognitive load and fuzzy reasoning for normal and hearing-impaired users. 56–60. 1 indexed citations

Hijji, Mohammad, et al.. (2023). 6G Connected Vehicle Framework to Support Intelligent Road Maintenance Using Deep Learning Data Fusion. IEEE Transactions on Intelligent Transportation Systems. 24(7). 7726–7735. 44 indexed citations

Nadeem, Mohammad, Shahab Saquib Sohail, Faiyaz Doctor, et al.. (2023). Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review. arXiv (Cornell University). 1 indexed citations

Maniak, Tomasz, et al.. (2022). Deep Neural Networks for Transmission Impairment Mitigation in Long-Reach 5G Access Networks. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

Muhammad, Khan, Mohammad S. Obaidat, Tanveer Hussain, et al.. (2021). Fuzzy Logic in Surveillance Big Video Data Analysis. ACM Computing Surveys. 54(3). 1–33. 31 indexed citations

Doctor, Faiyaz, et al.. (2019). Multimodal deep features fusion for video memorability prediction. Open Access at Essex (University of Essex). 2 indexed citations

Karyotis, Charalampos, et al.. (2019). Deep Learning for Flood Forecasting and Monitoring in Urban Environments. 1392–1397. 11 indexed citations

10.

Doctor, Faiyaz, et al.. (2018). An Adaptive Monitoring Scheme for Automatic Control of Anaesthesia in dynamic surgical environments based on Bispectral Index and Blood Pressure. Journal of Medical Systems. 42(5). 95–95. 11 indexed citations

11.

Doctor, Faiyaz, et al.. (2018). Towards an Innovative Architecture to Monitor and Handle Emotions in Work Scenarios.. 516–525.

12.

Doctor, Faiyaz, et al.. (2018). Identification and Analysis of Emotions in a Game Based Therapy for Patients with Cognitive Impairment. 506–515. 2 indexed citations

13.

Grzywaczewski, Adam, et al.. (2018). A novel Big Data analytics and intelligent technique to predict driver's intent. Computers in Industry. 99. 226–240. 25 indexed citations

14.

Doctor, Faiyaz, et al.. (2015). Instantaneous 3D EEG Signal Analysis Based on Empirical Mode Decomposition and the Hilbert–Huang Transform Applied to Depth of Anaesthesia. Entropy. 17(3). 928–949. 16 indexed citations

15.

Doctor, Faiyaz, et al.. (2015). Introduction to the thematic issue on Affect Aware Ubiquitious Computing. Journal of Ambient Intelligence and Smart Environments. 7(1). 3–4. 2 indexed citations

16.

Campo, I. del, et al.. (2014). A real-time driver identification system based on artificial neural networks and cepstral analysis. Pure (Coventry University). 29 indexed citations

17.

Maniak, Tomasz, Rahat Iqbal, Faiyaz Doctor, & Chrisina Jayne. (2013). Automated Sound Signalling Device Quality Assurance Tool for Embedded Industrial Control Applications. Pure (Coventry University). 4812–4818. 7 indexed citations

18.

Iqbal, Rahat, Faiyaz Doctor, Margarida Roméro, & Anne James. (2013). Activity-led learning approach and group performance analysis using fuzzy rule-based classification model. Pure (Coventry University). 599–606. 4 indexed citations

19.

Doctor, Faiyaz, Hani Hagras, Vic Callaghan, & Antonio M. López. (2004). An adaptive fuzzy learning mechanism for intelligent agents in ubiquitous computing environments. World Automation Congress. 16. 101–106. 8 indexed citations

20.

Doctor, Faiyaz, Hani Hagras, & Vic Callaghan. (2004). A type-2 fuzzy embedded agent to realise ambient intelligence in ubiquitous computing environments. Information Sciences. 171(4). 309–334. 61 indexed citations

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.

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