Nurlaila Ismail
- Organic Chemistry top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Mohd Nasir TaibMohd Hezri Fazalul RahimanSaıful Nizam TajuddinNor Azah Mohd AliDalina JohariRahimi BaharomZakiah Mohd YusoffF. W. Alexander Tempels
- Topics
- Wood and Agarwood Research (58 papers)Image Processing and 3D Reconstruction (26 papers)Forensic Fingerprint Detection Methods (20 papers)
- Partner nations
- MalaysiaBosnia and HerzegovinaUnited Kingdom
In The Last Decade
Nurlaila Ismail
80 papers receiving 569 citations
Peers
Comparison fields: 5 of 109
- Organic Chemistry 260
- Molecular Biology 181
- Computer Vision and Pattern Recognition 135
- Electrical and Electronic Engineering 72
- Control and Systems Engineering 68
Countries citing papers authored by Nurlaila Ismail
This map shows the geographic impact of Nurlaila Ismail'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 Nurlaila Ismail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nurlaila Ismail more than expected).
Fields of papers citing papers by Nurlaila Ismail
This network shows the impact of papers produced by Nurlaila Ismail. 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 Nurlaila Ismail. The network helps show where Nurlaila Ismail may publish in the future.
Co-authorship network of co-authors of Nurlaila Ismail
This figure shows the co-authorship network connecting the top 25 collaborators of Nurlaila Ismail. A scholar is included among the top collaborators of Nurlaila Ismail 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 Nurlaila Ismail. Nurlaila Ismail 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 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | Analysis Of High Quality Agarwood Oil Chemical Compounds By Means Of Spme/Gc-Ms And Z-Score Technique | 22 |
| 19 | 8 | |
| 20 | 5 |
About Nurlaila Ismail
Nurlaila Ismail is a scholar working on Safety Research, Organic Chemistry and Archeology, having authored 86 papers that have together received 612 indexed citations. Recurring topics across this work include Wood and Agarwood Research (58 papers), Image Processing and 3D Reconstruction (26 papers) and Forensic Fingerprint Detection Methods (20 papers). The work is most often cited by research in Organic Chemistry (260 citations), Safety Research (62 citations) and Computer Vision and Pattern Recognition (135 citations). Nurlaila Ismail has collaborated with scholars based in Malaysia, Bosnia and Herzegovina and United Kingdom. Frequent co-authors include Mohd Nasir Taib, Mohd Hezri Fazalul Rahiman, Saıful Nizam Tajuddin, Nor Azah Mohd Ali, Dalina Johari, Rahimi Baharom, Zakiah Mohd Yusoff, F. W. Alexander Tempels, Frans van der Kloet and Gerwin Spijksma. Their work appears in journals such as IEEE Access, Journal of Food Science and Technology and Metabolomics.
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.