Mhd Saeed Sharif
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Co-authors
- Maysam AbbodAbbes AmiraWael ElmedanyMamoun AlazabAmeer Al-NemratArun BrahmaHabib ZaidiShadi AlZu’bi
- Topics
- Medical Imaging Techniques and Applications (12 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)Medical Image Segmentation Techniques (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- United KingdomBahrainSaudi Arabia
In The Last Decade
Mhd Saeed Sharif
73 papers receiving 476 citations
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 149
- Radiology, Nuclear Medicine and Imaging 124
- Computer Vision and Pattern Recognition 93
- Computer Networks and Communications 77
- Information Systems 73
Countries citing papers authored by Mhd Saeed Sharif
This map shows the geographic impact of Mhd Saeed Sharif'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 Mhd Saeed Sharif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mhd Saeed Sharif more than expected).
Fields of papers citing papers by Mhd Saeed Sharif
This network shows the impact of papers produced by Mhd Saeed Sharif. 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 Mhd Saeed Sharif. The network helps show where Mhd Saeed Sharif may publish in the future.
Co-authorship network of co-authors of Mhd Saeed Sharif
This figure shows the co-authorship network connecting the top 25 collaborators of Mhd Saeed Sharif. A scholar is included among the top collaborators of Mhd Saeed Sharif 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 Mhd Saeed Sharif. Mhd Saeed Sharif 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 32 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | MASSIVE OPEN ONLINE COURSES - PROMOTING ENGAGEMENT THROUGH MEANS OF GAMIFICATION | 1 |
| 17 | 25 | |
| 18 | 14 | |
| 19 | 10 | |
| 20 | 33 |
About Mhd Saeed Sharif
Mhd Saeed Sharif is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computer Science Applications, having authored 91 papers that have together received 503 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Medical Image Segmentation Techniques (8 papers). The work is most often cited by research in Ophthalmology (49 citations), Radiology, Nuclear Medicine and Imaging (124 citations) and Artificial Intelligence (149 citations). Mhd Saeed Sharif has collaborated with scholars based in United Kingdom, Bahrain and Saudi Arabia. Frequent co-authors include Maysam Abbod, Abbes Amira, Wael Elmedany, Mamoun Alazab, Ameer Al-Nemrat, Arun Brahma, Habib Zaidi, Shadi AlZu’bi, S. Ipson and Rami Qahwaji. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.