Heba A. Elnemr
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Biophysics top 10%
- Co-authors
- Fathi E. Abd El‐SamieMoawad I. DessoukyMohamed M. DessoukyOsama S. FaragallahHeba K. AslanAshraf A. M. KhalafGhada M. El‐BanbyAhmed Sedik
- Topics
- Image and Signal Denoising Methods (4 papers)Advanced Image Fusion Techniques (4 papers)Remote-Sensing Image Classification (3 papers)
- Journals
- SensorsMultimedia Tools and ApplicationsJournal of Ambient Intelligence and Humanized Computing
- Partner nations
- EgyptSaudi ArabiaSouth Korea
In The Last Decade
Heba A. Elnemr
15 papers receiving 320 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 185
- Media Technology 112
- Radiology, Nuclear Medicine and Imaging 65
- Artificial Intelligence 45
- Biophysics 30
Countries citing papers authored by Heba A. Elnemr
This map shows the geographic impact of Heba A. Elnemr'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 Heba A. Elnemr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heba A. Elnemr more than expected).
Fields of papers citing papers by Heba A. Elnemr
This network shows the impact of papers produced by Heba A. Elnemr. 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 Heba A. Elnemr. The network helps show where Heba A. Elnemr may publish in the future.
Co-authorship network of co-authors of Heba A. Elnemr
This figure shows the co-authorship network connecting the top 25 collaborators of Heba A. Elnemr. A scholar is included among the top collaborators of Heba A. Elnemr 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 Heba A. Elnemr. Heba A. Elnemr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 17 | |
| 4 | 15 | |
| 5 | 51 | |
| 6 | 68 | |
| 7 | 17 | |
| 8 | 25 | |
| 9 | 11 | |
| 10 | 13 | |
| 11 | 98 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 8 |
About Heba A. Elnemr
Heba A. Elnemr is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Biophysics, having authored 15 papers that have together received 337 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Advanced Image Fusion Techniques (4 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Media Technology (112 citations), Computer Vision and Pattern Recognition (185 citations) and Biophysics (30 citations). Heba A. Elnemr has collaborated with scholars based in Egypt, Saudi Arabia and South Korea. Frequent co-authors include Fathi E. Abd El‐Samie, Moawad I. Dessouky, Mohamed M. Dessouky, Osama S. Faragallah, Heba K. Aslan, Ashraf A. M. Khalaf, Ghada M. El‐Banby, Ahmed Sedik, Mahmoud M. Elewa and Young Im Cho. Their work appears in journals such as Sensors, Multimedia Tools and Applications and Journal of Ambient Intelligence and Humanized Computing.
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.