Jawad Hasan Alkhateeb
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Human-Computer Interaction top 10%
- Signal Processing
- Co-authors
- Jianmin JiangJinchang RenS. IpsonHusni Al-MuhtasebHaikal El AbedAbdulRahman A. AlsewariFouad KhelifiSultan Noman Qasem
- Topics
- Handwritten Text Recognition Techniques (16 papers)Image Retrieval and Classification Techniques (6 papers)Text and Document Classification Technologies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessKnowledge-Based Systems
- Partner nations
- Saudi ArabiaUnited KingdomJordan
In The Last Decade
Jawad Hasan Alkhateeb
25 papers receiving 312 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 289
- Artificial Intelligence 139
- Media Technology 136
- Human-Computer Interaction 35
- Signal Processing 23
Countries citing papers authored by Jawad Hasan Alkhateeb
This map shows the geographic impact of Jawad Hasan Alkhateeb'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 Jawad Hasan Alkhateeb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jawad Hasan Alkhateeb more than expected).
Fields of papers citing papers by Jawad Hasan Alkhateeb
This network shows the impact of papers produced by Jawad Hasan Alkhateeb. 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 Jawad Hasan Alkhateeb. The network helps show where Jawad Hasan Alkhateeb may publish in the future.
Co-authorship network of co-authors of Jawad Hasan Alkhateeb
This figure shows the co-authorship network connecting the top 25 collaborators of Jawad Hasan Alkhateeb. A scholar is included among the top collaborators of Jawad Hasan Alkhateeb 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 Jawad Hasan Alkhateeb. Jawad Hasan Alkhateeb 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 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | AN EFFECTIVE DEEP LEARNING APPROACH FOR IMPROVING OFF-LINE ARABIC HANDWRITTEN CHARACTER RECOGNITION | 12 |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 24 | |
| 14 | 42 | |
| 15 | 16 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 21 | |
| 19 | 26 | |
| 20 | 28 |
About Jawad Hasan Alkhateeb
Jawad Hasan Alkhateeb is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 28 papers that have together received 363 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (16 papers), Image Retrieval and Classification Techniques (6 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Media Technology (136 citations), Computer Vision and Pattern Recognition (289 citations) and Human-Computer Interaction (35 citations). Jawad Hasan Alkhateeb has collaborated with scholars based in Saudi Arabia, United Kingdom and Jordan. Frequent co-authors include Jianmin Jiang, Jinchang Ren, S. Ipson, Husni Al-Muhtaseb, Haikal El Abed, AbdulRahman A. Alsewari, Fouad Khelifi, Sultan Noman Qasem, Mohammad A. U. Khan and Hussein Abdel-Jaber. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Knowledge-Based Systems.
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.