Ikram Ullah Lali
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Neurology top 5%
- Oncology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Muhammad Attique KhanTanzila SabaSaliha ZahoorMuhammad SharifAmjad RehmanTallha AkramMuhammad NasirTassawar Iqbal
- Topics
- AI in cancer detection (5 papers)Brain Tumor Detection and Classification (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
- Partner nations
- PakistanSaudi ArabiaUnited States
In The Last Decade
Ikram Ullah Lali
11 papers receiving 537 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 300
- Computer Vision and Pattern Recognition 203
- Neurology 168
- Oncology 160
- Radiology, Nuclear Medicine and Imaging 160
Countries citing papers authored by Ikram Ullah Lali
This map shows the geographic impact of Ikram Ullah Lali'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 Ikram Ullah Lali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikram Ullah Lali more than expected).
Fields of papers citing papers by Ikram Ullah Lali
This network shows the impact of papers produced by Ikram Ullah Lali. 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 Ikram Ullah Lali. The network helps show where Ikram Ullah Lali may publish in the future.
Co-authorship network of co-authors of Ikram Ullah Lali
This figure shows the co-authorship network connecting the top 25 collaborators of Ikram Ullah Lali. A scholar is included among the top collaborators of Ikram Ullah Lali 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 Ikram Ullah Lali. Ikram Ullah Lali 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 | 6 | |
| 3 | 64 | |
| 4 | 21 | |
| 5 | 51 | |
| 6 | 6 | |
| 7 | 33 | |
| 8 | 139 | |
| 9 | 83 | |
| 10 | 25 | |
| 11 | 9 | |
| 12 | 137 |
About Ikram Ullah Lali
Ikram Ullah Lali is a scholar working on Neurology, Computer Vision and Pattern Recognition and Health Information Management, having authored 12 papers that have together received 574 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Brain Tumor Detection and Classification (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Neurology (168 citations), Computer Vision and Pattern Recognition (203 citations) and Artificial Intelligence (300 citations). Ikram Ullah Lali has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include Muhammad Attique Khan, Tanzila Saba, Saliha Zahoor, Muhammad Sharif, Amjad Rehman, Tallha Akram, Muhammad Nasir, Tassawar Iqbal, Umar Shoaib and Kashif Javed. Their work appears in journals such as Microscopy Research and Technique, Multimedia Tools and Applications and Diagnostics.
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.