Ali H. Al‐Timemy
About
In The Last Decade
Ali H. Al‐Timemy
64 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Biomedical Engineering 1.4k
- Cognitive Neuroscience 999
- Cellular and Molecular Neuroscience 561
- Human-Computer Interaction 311
- Artificial Intelligence 195
Countries citing papers authored by Ali H. Al‐Timemy
This map shows the geographic impact of Ali H. Al‐Timemy'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 H. Al‐Timemy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali H. Al‐Timemy more than expected).
Fields of papers citing papers by Ali H. Al‐Timemy
This network shows the impact of papers produced by Ali H. Al‐Timemy. 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 H. Al‐Timemy. The network helps show where Ali H. Al‐Timemy may publish in the future.
Co-authorship network of co-authors of Ali H. Al‐Timemy
This figure shows the co-authorship network connecting the top 25 collaborators of Ali H. Al‐Timemy. A scholar is included among the top collaborators of Ali H. Al‐Timemy 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 Ali H. Al‐Timemy. Ali H. Al‐Timemy 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 25 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications breakdown → | 420 |
| 12 | 4 | |
| 13 | 19 | |
| 14 | Evaluation of keratoconus detection from elevation, topography and pachymetry raw data using machine learning | 1 |
| 15 | A hybrid deep learning framework for keratoconus detection based on anterior and posterior corneal maps. | 1 |
| 16 | 4 | |
| 17 | Investigation of Pattern Recognition System Based On Electromyography Signals for Optimal Electrodes’ Number and Positions | 1 |
| 18 | 257 | |
| 19 | A Robust Algorithm for Ear Recognition System Based on Self Organization Maps | 3 |
| 20 | Wavelet Neural Network Based Emg Signal Classifier | 1 |
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.