Naif H. Ali
- Neurology top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Physiology
- Co-authors
- Hayder M. Al‐kuraishyGaber El‐Saber BatihaAli I. Al‐GareebRaed AlRuwailiMubarak AlruwailiHebatallah M. SaadMuhammad Umair AliMuhammad Irfan
- Topics
- Nerve injury and regeneration (3 papers)Stress Responses and Cortisol (2 papers)Alzheimer's disease research and treatments (2 papers)
- Partner nations
- Saudi ArabiaEgyptIraq
In The Last Decade
Naif H. Ali
15 papers receiving 370 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Neurology 167
- Computer Vision and Pattern Recognition 106
- Artificial Intelligence 81
- Cellular and Molecular Neuroscience 70
- Physiology 66
Countries citing papers authored by Naif H. Ali
This map shows the geographic impact of Naif H. 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 Naif H. Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naif H. Ali more than expected).
Fields of papers citing papers by Naif H. Ali
This network shows the impact of papers produced by Naif H. 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 Naif H. Ali. The network helps show where Naif H. Ali may publish in the future.
Co-authorship network of co-authors of Naif H. Ali
This figure shows the co-authorship network connecting the top 25 collaborators of Naif H. Ali. A scholar is included among the top collaborators of Naif H. 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 Naif H. Ali. Naif H. 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 | 10 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 21 | |
| 6 | 6 | |
| 7 | 27 | |
| 8 | 16 | |
| 9 | 6 | |
| 10 | 23 | |
| 11 | 35 | |
| 12 | 33 | |
| 13 | 19 | |
| 14 | Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Modelbreakdown → | 165 |
| 15 | 6 | |
| 16 | 3 |
About Naif H. Ali
Naif H. Ali is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 377 indexed citations. Recurring topics across this work include Nerve injury and regeneration (3 papers), Stress Responses and Cortisol (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Neurology (167 citations), Biological Psychiatry (19 citations) and Computer Vision and Pattern Recognition (106 citations). Naif H. Ali has collaborated with scholars based in Saudi Arabia, Egypt and Iraq. Frequent co-authors include Hayder M. Al‐kuraishy, Gaber El‐Saber Batiha, Ali I. Al‐Gareeb, Raed AlRuwaili, Mubarak Alruwaili, Hebatallah M. Saad, Muhammad Umair Ali, Muhammad Irfan, Shaik Javeed Hussain and Amad Zafar. Their work appears in journals such as Sensors, Journal of Cellular and Molecular Medicine and Molecular Neurobiology.
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.