Nurbaity Sabri
- Plant Science top 10%
- Analytical Chemistry top 5%
- Computer Vision and Pattern Recognition top 10%
- Ecology
- Artificial Intelligence
- Co-authors
- Zaidah IbrahimDino IsaShafaf IbrahimKhyrina Airin Fariza Abu SamahHaza Nuzly Abdull HamedMohd Adham IsaNursuriati JamilNorizan Mat Diah
- Topics
- Smart Agriculture and AI (10 papers)Spectroscopy and Chemometric Analyses (8 papers)Face recognition and analysis (3 papers)
- Journals
- Journal of King Saud University - Computer and Information SciencesComputers, materials & continua/Computers, materials & continua (Print)Bulletin of Electrical Engineering and Informatics
- Partner nations
- MalaysiaUnited StatesRussia
In The Last Decade
Nurbaity Sabri
40 papers receiving 392 citations
Peers
Comparison fields: 5 of 92
- Plant Science 175
- Analytical Chemistry 76
- Computer Vision and Pattern Recognition 65
- Ecology 59
- Artificial Intelligence 52
Countries citing papers authored by Nurbaity Sabri
This map shows the geographic impact of Nurbaity Sabri'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 Nurbaity Sabri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nurbaity Sabri more than expected).
Fields of papers citing papers by Nurbaity Sabri
This network shows the impact of papers produced by Nurbaity Sabri. 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 Nurbaity Sabri. The network helps show where Nurbaity Sabri may publish in the future.
Co-authorship network of co-authors of Nurbaity Sabri
This figure shows the co-authorship network connecting the top 25 collaborators of Nurbaity Sabri. A scholar is included among the top collaborators of Nurbaity Sabri 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 Nurbaity Sabri. Nurbaity Sabri 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 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 25 | |
| 11 | 12 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 9 | |
| 16 | Palm Oil Fresh Fruit Bunch Ripeness Grading Recognition Using Convolutional Neural Network | 50 |
| 17 | 31 | |
| 18 | 35 | |
| 19 | 1 | |
| 20 | 3 |
About Nurbaity Sabri
Nurbaity Sabri is a scholar working on Analytical Chemistry, Computer Vision and Pattern Recognition and Health Information Management, having authored 42 papers that have together received 421 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (8 papers) and Face recognition and analysis (3 papers). The work is most often cited by research in Analytical Chemistry (76 citations), Plant Science (175 citations) and Computer Vision and Pattern Recognition (65 citations). Nurbaity Sabri has collaborated with scholars based in Malaysia, United States and Russia. Frequent co-authors include Zaidah Ibrahim, Dino Isa, Shafaf Ibrahim, Khyrina Airin Fariza Abu Samah, Haza Nuzly Abdull Hamed, Mohd Adham Isa, Nursuriati Jamil, Norizan Mat Diah and Sharifah Kamilah Syed Yusof. Their work appears in journals such as Journal of King Saud University - Computer and Information Sciences, Computers, materials & continua/Computers, materials & continua (Print) and Bulletin of Electrical Engineering and Informatics.
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.