Khalid M. Hosny
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.5%
- Oncology top 5%
- Media Technology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Mohamed DarwishMohamed A. KassemSara T. KamalMostafa M. FoudaMohamed M. FouadHanaa M. HamzaMohamed Meselhy EltoukhyNabil A. Lashin
- Topics
- Advanced Steganography and Watermarking Techniques (48 papers)Chaos-based Image/Signal Encryption (45 papers)Image Retrieval and Classification Techniques (44 papers)
- Partner nations
- EgyptSaudi ArabiaUnited States
In The Last Decade
Khalid M. Hosny
170 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Computer Vision and Pattern Recognition 2.8k
- Artificial Intelligence 1.6k
- Oncology 936
- Media Technology 524
- Radiology, Nuclear Medicine and Imaging 503
Countries citing papers authored by Khalid M. Hosny
This map shows the geographic impact of Khalid M. Hosny'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 Khalid M. Hosny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid M. Hosny more than expected).
Fields of papers citing papers by Khalid M. Hosny
This network shows the impact of papers produced by Khalid M. Hosny. 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 Khalid M. Hosny. The network helps show where Khalid M. Hosny may publish in the future.
Co-authorship network of co-authors of Khalid M. Hosny
This figure shows the co-authorship network connecting the top 25 collaborators of Khalid M. Hosny. A scholar is included among the top collaborators of Khalid M. Hosny 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 Khalid M. Hosny. Khalid M. Hosny 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 | 23 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 13 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 49 | |
| 15 | 16 | |
| 16 | 44 | |
| 17 | 6 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | Fast Computation of Accurate Pseudo Zernike Moments for Binary and Gray-Level Images | 5 |
About Khalid M. Hosny
Khalid M. Hosny is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 182 papers that have together received 5.1k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (48 papers), Chaos-based Image/Signal Encryption (45 papers) and Image Retrieval and Classification Techniques (44 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Health Informatics (89 citations) and Media Technology (524 citations). Khalid M. Hosny has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Mohamed Darwish, Mohamed A. Kassem, Sara T. Kamal, Mostafa M. Fouda, Mohamed M. Fouad, Hanaa M. Hamza, Mohamed Meselhy Eltoukhy, Nabil A. Lashin, Ahmad Salah and George A. Papakostas. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
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.