Mohd Faisal Ibrahim
- Biomedical Engineering
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Rehabilitation top 5%
- Co-authors
- Aqilah Baseri HuddinMohammad Soleimani AmiriRizauddin RamliFazida Hanim HashimThinal RajAini HussainMarzuki KhalidRubiyah Yusof
- Topics
- Robotic Path Planning Algorithms (9 papers)Robot Manipulation and Learning (6 papers)Advanced Fiber Optic Sensors (5 papers)
- Cited by
- InstrumentationRehabilitationGeology
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
In The Last Decade
Mohd Faisal Ibrahim
54 papers receiving 685 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Biomedical Engineering 172
- Electrical and Electronic Engineering 142
- Computer Vision and Pattern Recognition 122
- Control and Systems Engineering 120
- Rehabilitation 80
Countries citing papers authored by Mohd Faisal Ibrahim
This map shows the geographic impact of Mohd Faisal Ibrahim'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 Mohd Faisal Ibrahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohd Faisal Ibrahim more than expected).
Fields of papers citing papers by Mohd Faisal Ibrahim
This network shows the impact of papers produced by Mohd Faisal Ibrahim. 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 Mohd Faisal Ibrahim. The network helps show where Mohd Faisal Ibrahim may publish in the future.
Co-authorship network of co-authors of Mohd Faisal Ibrahim
This figure shows the co-authorship network connecting the top 25 collaborators of Mohd Faisal Ibrahim. A scholar is included among the top collaborators of Mohd Faisal Ibrahim 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 Mohd Faisal Ibrahim. Mohd Faisal Ibrahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 23 | |
| 9 | 2 | |
| 10 | 17 | |
| 11 | 33 | |
| 12 | A Survey on LiDAR Scanning Mechanismsbreakdown → | 249 |
| 13 | 61 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | 0 | |
| 17 | 16 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 32 |
About Mohd Faisal Ibrahim
Mohd Faisal Ibrahim is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Networks and Communications, having authored 60 papers that have together received 720 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Robot Manipulation and Learning (6 papers) and Advanced Fiber Optic Sensors (5 papers). The work is most often cited by research in Instrumentation (74 citations), Rehabilitation (80 citations) and Geology (46 citations). Mohd Faisal Ibrahim has collaborated with scholars based in Malaysia, Iraq and Australia. Frequent co-authors include Aqilah Baseri Huddin, Mohammad Soleimani Amiri, Rizauddin Ramli, Fazida Hanim Hashim, Thinal Raj, Aini Hussain, Marzuki Khalid, Rubiyah Yusof, Dzuraidah Abd Wahab and Ashrani Aizzuddin Abd. Rahni. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports 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.