Umme Laila
- Neurology top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Health Information Management top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Faheem KhanAbdul Wahid KhanOsman ÖzkaracaJamil HussainHüseyin GürülerJawad KhanKhurram MehboobSyed Abbas Ali
- Topics
- Open Source Software Innovations (3 papers)Brain Tumor Detection and Classification (2 papers)Technology Adoption and User Behaviour (2 papers)
- Partner nations
- PakistanChinaSouth Korea
In The Last Decade
Umme Laila
12 papers receiving 256 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Neurology 110
- Artificial Intelligence 105
- Computer Vision and Pattern Recognition 93
- Health Information Management 63
- Radiology, Nuclear Medicine and Imaging 43
Countries citing papers authored by Umme Laila
This map shows the geographic impact of Umme Laila'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 Umme Laila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umme Laila more than expected).
Fields of papers citing papers by Umme Laila
This network shows the impact of papers produced by Umme Laila. 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 Umme Laila. The network helps show where Umme Laila may publish in the future.
Co-authorship network of co-authors of Umme Laila
This figure shows the co-authorship network connecting the top 25 collaborators of Umme Laila. A scholar is included among the top collaborators of Umme Laila 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 Umme Laila. Umme Laila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | Multiple Brain Tumor Classification with Dense CNN Architecture Using Brain MRI Imagesbreakdown → | 109 |
| 9 | 6 | |
| 10 | 85 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 15 | |
| 15 | 13 |
About Umme Laila
Umme Laila is a scholar working on Computer Science Applications, Health Information Management and Information Systems and Management, having authored 15 papers that have together received 267 indexed citations. Recurring topics across this work include Open Source Software Innovations (3 papers), Brain Tumor Detection and Classification (2 papers) and Technology Adoption and User Behaviour (2 papers). The work is most often cited by research in Health Information Management (63 citations), Neurology (110 citations) and Computer Vision and Pattern Recognition (93 citations). Umme Laila has collaborated with scholars based in Pakistan, China and South Korea. Frequent co-authors include Faheem Khan, Abdul Wahid Khan, Osman Özkaraca, Jamil Hussain, Hüseyin Gürüler, Jawad Khan, Khurram Mehboob, Syed Abbas Ali, Zhi-Xiang Xu and Dongsheng Xu. Their work appears in journals such as Frontiers in Immunology, Frontiers in Microbiology 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.