Haidawati Nasir
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Media Technology top 5%
- Building and Construction top 10%
- Co-authors
- Adidah LajisKushsairy KadirStephen MarshallMuhammad FayazAbdul Salam ShahAsadullah ShahSairul Izwan SafieVladimir Stanković
- Topics
- Video Surveillance and Tracking Methods (7 papers)IoT-based Smart Home Systems (6 papers)Face recognition and analysis (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- MalaysiaPakistanSaudi Arabia
In The Last Decade
Haidawati Nasir
44 papers receiving 367 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 113
- Electrical and Electronic Engineering 95
- Artificial Intelligence 79
- Media Technology 63
- Building and Construction 47
Countries citing papers authored by Haidawati Nasir
This map shows the geographic impact of Haidawati Nasir'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 Haidawati Nasir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haidawati Nasir more than expected).
Fields of papers citing papers by Haidawati Nasir
This network shows the impact of papers produced by Haidawati Nasir. 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 Haidawati Nasir. The network helps show where Haidawati Nasir may publish in the future.
Co-authorship network of co-authors of Haidawati Nasir
This figure shows the co-authorship network connecting the top 25 collaborators of Haidawati Nasir. A scholar is included among the top collaborators of Haidawati Nasir 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 Haidawati Nasir. Haidawati Nasir 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 10 | |
| 12 | 0 | |
| 13 | 25 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 36 | |
| 17 | A review on energy consumption optimization techniques in IoT based smart building environment | 48 |
| 18 | 2 | |
| 19 | A review of techniques in automatic programming assessment for practical skill test | 25 |
| 20 | Fingerprint and Face Recognition: Application to Multimodal Biometrics System | 5 |
About Haidawati Nasir
Haidawati Nasir is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 54 papers that have together received 393 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), IoT-based Smart Home Systems (6 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Media Technology (63 citations), Computer Vision and Pattern Recognition (113 citations) and Computer Science Applications (25 citations). Haidawati Nasir has collaborated with scholars based in Malaysia, Pakistan and Saudi Arabia. Frequent co-authors include Adidah Lajis, Kushsairy Kadir, Stephen Marshall, Muhammad Fayaz, Abdul Salam Shah, Asadullah Shah, Sairul Izwan Safie, Vladimir Stanković, Sheroz Khan and Teddy Surya Gunawan. 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.