Hazem Hiary
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Plant Science
- Biomedical Engineering
- Pharmacology
- Co-authors
- Mohammad YaqubHeba SaadehMaha SaadehRaja S. AlomariVipin ChaudharyHossam FarisManuel AlfonsecaAlfonso Ortega
- Topics
- Advanced Steganography and Watermarking Techniques (8 papers)Handwritten Text Recognition Techniques (5 papers)Chaos-based Image/Signal Encryption (4 papers)
- Partner nations
- JordanUnited KingdomUnited States
In The Last Decade
Hazem Hiary
25 papers receiving 341 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 163
- Artificial Intelligence 83
- Plant Science 71
- Biomedical Engineering 37
- Pharmacology 31
Countries citing papers authored by Hazem Hiary
This map shows the geographic impact of Hazem Hiary'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 Hazem Hiary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hazem Hiary more than expected).
Fields of papers citing papers by Hazem Hiary
This network shows the impact of papers produced by Hazem Hiary. 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 Hazem Hiary. The network helps show where Hazem Hiary may publish in the future.
Co-authorship network of co-authors of Hazem Hiary
This figure shows the co-authorship network connecting the top 25 collaborators of Hazem Hiary. A scholar is included among the top collaborators of Hazem Hiary 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 Hazem Hiary. Hazem Hiary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 24 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | A Flower Recognition System Based On Image Processing And Neural Networks | 25 |
| 6 | 5 | |
| 7 | 75 | |
| 8 | 22 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 19 | |
| 12 | 3 | |
| 13 | Smart Braille System Recognizer | 9 |
| 14 | 11 | |
| 15 | 38 | |
| 16 | 15 | |
| 17 | 35 | |
| 18 | 6 | |
| 19 | 7 | |
| 20 | 0 |
About Hazem Hiary
Hazem Hiary is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 28 papers that have together received 359 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (8 papers), Handwritten Text Recognition Techniques (5 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Health Informatics (15 citations), Computer Vision and Pattern Recognition (163 citations) and Media Technology (27 citations). Hazem Hiary has collaborated with scholars based in Jordan, United Kingdom and United States. Frequent co-authors include Mohammad Yaqub, Heba Saadeh, Maha Saadeh, Raja S. Alomari, Vipin Chaudhary, Hossam Faris, Manuel Alfonseca, Alfonso Ortega, Iyad F. Jafar and Kia Ng. Their work appears in journals such as Knowledge-Based Systems, Multimedia Tools and Applications and The Computer Journal.
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.