Fahmid Al Farid
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Automotive Engineering top 10%
- Plant Science
- Co-authors
- Noramiza HashimJunaidi AbdullahMamunur RashidMohd Nizam HusenGobbi RamasamyJia UddinMohammed Hussein Saleh Mohammed HaramMd Shofiqul Islam
- Topics
- Anomaly Detection Techniques and Applications (7 papers)Video Surveillance and Tracking Methods (6 papers)Fire Detection and Safety Systems (6 papers)
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- MalaysiaBangladeshSouth Korea
In The Last Decade
Fahmid Al Farid
41 papers receiving 383 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 92
- Electrical and Electronic Engineering 88
- Artificial Intelligence 82
- Automotive Engineering 66
- Plant Science 60
Countries citing papers authored by Fahmid Al Farid
This map shows the geographic impact of Fahmid Al Farid'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 Fahmid Al Farid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fahmid Al Farid more than expected).
Fields of papers citing papers by Fahmid Al Farid
This network shows the impact of papers produced by Fahmid Al Farid. 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 Fahmid Al Farid. The network helps show where Fahmid Al Farid may publish in the future.
Co-authorship network of co-authors of Fahmid Al Farid
This figure shows the co-authorship network connecting the top 25 collaborators of Fahmid Al Farid. A scholar is included among the top collaborators of Fahmid Al Farid 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 Fahmid Al Farid. Fahmid Al Farid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 16 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | 2 |
About Fahmid Al Farid
Fahmid Al Farid is a scholar working on Health Informatics, General Energy and Human-Computer Interaction, having authored 48 papers that have together received 403 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Video Surveillance and Tracking Methods (6 papers) and Fire Detection and Safety Systems (6 papers). The work is most often cited by research in Human-Computer Interaction (57 citations), Automotive Engineering (66 citations) and Computer Vision and Pattern Recognition (92 citations). Fahmid Al Farid has collaborated with scholars based in Malaysia, Bangladesh and South Korea. Frequent co-authors include Noramiza Hashim, Junaidi Abdullah, Mamunur Rashid, Mohd Nizam Husen, Gobbi Ramasamy, Jia Uddin, Mohammed Hussein Saleh Mohammed Haram, Md Shofiqul Islam, Md Nahidul Islam and Bifta Sama Bari. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.