Ali Altalbe
Impact in
- Modeling and Simulation top 10%
- Fractional Differential Equations Solutions
Papers in
-
- Nonlinear Waves and Solitons 10
- Nonlinear Photonic Systems 6
- Co-authors
- Muhammad Nasir Khan (10 shared papers)Fawad Naseer (3 shared papers)Munish Kumar (1 shared paper)Surinder Singh Khurana (1 shared paper)Rashid Ali (2 shared papers)Amjad Ali (1 shared paper)Muhammad Tahir (4 shared papers)Wasim Iqbal (1 shared paper)
- Journals
- IEEE Access (10 papers)Applied Sciences (6 papers)Sustainability (3 papers)Computers, materials & continua/Computers, materials & continua (Print) (2 papers)Fractals (2 papers)
- Partner nations
- Saudi ArabiaPakistanChina
In The Last Decade
Ali Altalbe
59 papers receiving 628 citations
Peers
Comparison fields: 5 of 117
- Modeling and Simulation 31
- General Energy 6
- Statistical and Nonlinear Physics 72
- Management Science and Operations Research 70
- Health Informatics 6
Countries citing papers authored by Ali Altalbe
This map shows the geographic impact of Ali Altalbe'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 Ali Altalbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Altalbe more than expected).
Fields of papers citing papers by Ali Altalbe
This network shows the impact of papers produced by Ali Altalbe. 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 Ali Altalbe. The network helps show where Ali Altalbe may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Altalbe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 69 | |
| 2 | 2019 | 48 | |
| 3 | 2020 | 33 | |
| 4 | 2024 | 29 | |
| 5 | 2019 | 28 | |
| 6 | 2024 | 24 | |
| 7 | 2023 | 23 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 20 | |
| 10 | 2024 | 19 | |
| 11 | 2024 | 18 | |
| 12 | 2023 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2024 | 15 | |
| 15 | 2023 | 14 | |
| 16 | 2024 | 14 | |
| 17 | 2021 | 14 | |
| 18 | 2024 | 13 | |
| 19 | 2021 | 13 | |
| 20 | 2021 | 12 |
About Ali Altalbe
Ali Altalbe is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Electrical and Electronic Engineering, Modeling and Simulation and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 661 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (10 papers), Fractional Differential Equations Solutions (8 papers), Nonlinear Photonic Systems (6 papers), Advanced Mathematical Physics Problems (4 papers), Differential Equations and Numerical Methods (3 papers), Gaze Tracking and Assistive Technology (3 papers), Advanced Malware Detection Techniques (3 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Modeling and Simulation (31 citations), General Energy (6 citations), Statistical and Nonlinear Physics (72 citations), Management Science and Operations Research (70 citations) and Health Informatics (6 citations). Ali Altalbe has collaborated with scholars based in Saudi Arabia, Pakistan and China. Frequent co-authors include Muhammad Nasir Khan, Fawad Naseer, Munish Kumar, Surinder Singh Khurana, Rashid Ali, Amjad Ali, Muhammad Tahir, Wasim Iqbal, Arooj Fatima and Yumei Hou. Their work appears in journals such as IEEE Access, Applied Sciences, Sustainability, Computers, materials & continua/Computers, materials & continua (Print) and Fractals.
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.