Nabil M. Hewahi
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Information Systems
- Topics
- Anomaly Detection Techniques and Applications (6 papers)Neural Networks and Applications (5 papers)Artificial Intelligence in Healthcare (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaInformation and Software TechnologyComputers & Security
- Partner nations
- BahrainPalestinian TerritoryJordan
In The Last Decade
Nabil M. Hewahi
43 papers receiving 235 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 134
- Signal Processing 62
- Computer Networks and Communications 53
- Computer Vision and Pattern Recognition 49
- Information Systems 37
Countries citing papers authored by Nabil M. Hewahi
This map shows the geographic impact of Nabil M. Hewahi'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 Nabil M. Hewahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nabil M. Hewahi more than expected).
Fields of papers citing papers by Nabil M. Hewahi
This network shows the impact of papers produced by Nabil M. Hewahi. 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 Nabil M. Hewahi. The network helps show where Nabil M. Hewahi may publish in the future.
Co-authorship network of co-authors of Nabil M. Hewahi
This figure shows the co-authorship network connecting the top 25 collaborators of Nabil M. Hewahi. A scholar is included among the top collaborators of Nabil M. Hewahi 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 Nabil M. Hewahi. Nabil M. Hewahi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 21 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | Image Finder Mobile Application Based on Neural Networks | 0 |
| 14 | 3 | |
| 15 | Genetic Algorithms Principles Towards Hidden Markov Model | 1 |
| 16 | Impact of Ethnic Group on Human Emotion Recognition Using Backpropagation Neural Network | 3 |
| 17 | Age Estimation based on Neural Networks using Face Features | 18 |
| 18 | Principles on Integrating General Rule Structure (GRS) Based Systems and Neural Networks. | 2 |
| 19 | Credit Assignment Scheme for General Rule Structure. | 2 |
| 20 | 5 |
About Nabil M. Hewahi
Nabil M. Hewahi is a scholar working on Artificial Intelligence, Health Information Management and Signal Processing, having authored 48 papers that have together received 267 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Neural Networks and Applications (5 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Signal Processing (62 citations), Artificial Intelligence (134 citations) and Computer Science Applications (22 citations). Nabil M. Hewahi has collaborated with scholars based in Bahrain, Palestinian Territory and Jordan. Frequent co-authors include Wael Elmedany, Motaz Saad, K. K. Bharadwaj and Mohammad Abdallah Ali Alryalat. Their work appears in journals such as SHILAP Revista de lepidopterología, Information and Software Technology and Computers & Security.
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.