Ahmed Hussein Ali
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Health Informatics top 1%
- Signal Processing top 10%
- Co-authors
- Mohammad AljanabiMostafa Abdulghafoor MohammedMaad M. MıjwılRaed Abdulkareem HasanTole SutiknoMohd Arfian IsmailNicolae ŢãpuşHarish Kumar
- Topics
- Artificial Intelligence in Healthcare (9 papers)Network Security and Intrusion Detection (6 papers)Neural Networks and Applications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Computational Intelligence SystemsInternational Journal of Advanced Computer Science and Applications
In The Last Decade
Ahmed Hussein Ali
57 papers receiving 787 citations
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 361
- Information Systems 181
- Computer Networks and Communications 179
- Health Informatics 137
- Signal Processing 91
Countries citing papers authored by Ahmed Hussein Ali
This map shows the geographic impact of Ahmed Hussein Ali'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 Ahmed Hussein Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmed Hussein Ali more than expected).
Fields of papers citing papers by Ahmed Hussein Ali
This network shows the impact of papers produced by Ahmed Hussein Ali. 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 Ahmed Hussein Ali. The network helps show where Ahmed Hussein Ali may publish in the future.
Co-authorship network of co-authors of Ahmed Hussein Ali
This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Hussein Ali. A scholar is included among the top collaborators of Ahmed Hussein Ali 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 Ahmed Hussein Ali. Ahmed Hussein Ali 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 37 | |
| 15 | 21 | |
| 16 | 3 | |
| 17 | An Efficient Model for Data Classification Based on SVM Grid Parameter Optimization and PSO Feature Weight Selection | 14 |
| 18 | 7 | |
| 19 | 15 | |
| 20 | 25 |
About Ahmed Hussein Ali
Ahmed Hussein Ali is a scholar working on Health Informatics, Health Information Management and Artificial Intelligence, having authored 60 papers that have together received 839 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (9 papers), Network Security and Intrusion Detection (6 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Health Informatics (137 citations), Health Information Management (73 citations) and Artificial Intelligence (361 citations). Ahmed Hussein Ali has collaborated with scholars based in Iraq, Malaysia and Indonesia. Frequent co-authors include Mohammad Aljanabi, Mostafa Abdulghafoor Mohammed, Maad M. Mıjwıl, Raed Abdulkareem Hasan, Tole Sutikno, Mohd Arfian Ismail, Nicolae Ţãpuş, Harish Kumar, Omar Ibrahim Obaid and Osamah Mohammed Alyasiri. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Computational Intelligence Systems and International Journal of Advanced Computer Science and 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.