Maged Nasser
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Radiology, Nuclear Medicine and Imaging
- Signal Processing top 10%
- Health Informatics top 2%
- Co-authors
- Umi Kalsom YusofFaisal SaeedShukor Abd RazakTaiseer Abdalla Elfadil EisaHussain A. YounisIbtehal NafeaMuaadh A. AlsoufiMaheyzah Md Siraj
- Topics
- Computational Drug Discovery Methods (7 papers)Machine Learning in Materials Science (6 papers)Machine Learning in Bioinformatics (4 papers)
- Journals
- Scientific ReportsInternational Journal of Molecular SciencesExpert Systems with Applications
- Partner nations
- MalaysiaSaudi ArabiaNigeria
In The Last Decade
Maged Nasser
34 papers receiving 678 citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 366
- Computer Networks and Communications 151
- Radiology, Nuclear Medicine and Imaging 110
- Signal Processing 91
- Health Informatics 85
Countries citing papers authored by Maged Nasser
This map shows the geographic impact of Maged Nasser'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 Maged Nasser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maged Nasser more than expected).
Fields of papers citing papers by Maged Nasser
This network shows the impact of papers produced by Maged Nasser. 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 Maged Nasser. The network helps show where Maged Nasser may publish in the future.
Co-authorship network of co-authors of Maged Nasser
This figure shows the co-authorship network connecting the top 25 collaborators of Maged Nasser. A scholar is included among the top collaborators of Maged Nasser 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 Maged Nasser. Maged Nasser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | A Systematic Review and Meta-Analysis of Artificial Intelligence Tools in Medicine and Healthcare: Applications, Considerations, Limitations, Motivation and Challengesbreakdown → | 104 |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 27 | |
| 15 | 24 | |
| 16 | 31 | |
| 17 | 4 | |
| 18 | 6 | |
| 19 | 8 | |
| 20 | 4 |
About Maged Nasser
Maged Nasser is a scholar working on Health Informatics, Artificial Intelligence and Computational Theory and Mathematics, having authored 38 papers that have together received 717 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Machine Learning in Materials Science (6 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Health Informatics (85 citations), Artificial Intelligence (366 citations) and Signal Processing (91 citations). Maged Nasser has collaborated with scholars based in Malaysia, Saudi Arabia and Nigeria. Frequent co-authors include Umi Kalsom Yusof, Faisal Saeed, Shukor Abd Razak, Taiseer Abdalla Elfadil Eisa, Hussain A. Younis, Ibtehal Nafea, Muaadh A. Alsoufi, Maheyzah Md Siraj, Fuad A. Ghaleb and Abdulalem Ali. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Expert Systems with Applications.
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.