Hatem A. Rashwan
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Media Technology top 5%
- Oncology
- Co-authors
- Domènec PuigMohamed Abdel‐NasserVivek Kumar SinghSantiago RomaníFarhan AkramArmin MasoumianAntonio MorenoM. Salman Asif
- Topics
- Advanced Vision and Imaging (11 papers)Hydraulic flow and structures (7 papers)AI in cancer detection (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingExpert Systems with Applications
In The Last Decade
Hatem A. Rashwan
79 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 368
- Artificial Intelligence 294
- Radiology, Nuclear Medicine and Imaging 183
- Media Technology 125
- Oncology 113
Countries citing papers authored by Hatem A. Rashwan
This map shows the geographic impact of Hatem A. Rashwan'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 Hatem A. Rashwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hatem A. Rashwan more than expected).
Fields of papers citing papers by Hatem A. Rashwan
This network shows the impact of papers produced by Hatem A. Rashwan. 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 Hatem A. Rashwan. The network helps show where Hatem A. Rashwan may publish in the future.
Co-authorship network of co-authors of Hatem A. Rashwan
This figure shows the co-authorship network connecting the top 25 collaborators of Hatem A. Rashwan. A scholar is included among the top collaborators of Hatem A. Rashwan 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 Hatem A. Rashwan. Hatem A. Rashwan 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 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 21 | |
| 14 | 45 | |
| 15 | 5 | |
| 16 | 47 | |
| 17 | Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. | 4 |
| 18 | 6 | |
| 19 | 17 | |
| 20 | 48 |
About Hatem A. Rashwan
Hatem A. Rashwan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Information Management, having authored 93 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Hydraulic flow and structures (7 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (368 citations), Media Technology (125 citations) and Artificial Intelligence (294 citations). Hatem A. Rashwan has collaborated with scholars based in Spain, Egypt and France. Frequent co-authors include Domènec Puig, Mohamed Abdel‐Nasser, Vivek Kumar Singh, Santiago Romaní, Farhan Akram, Armin Masoumian, Antonio Moreno, M. Salman Asif, Nur Zakiah Mohd Saat and Tamer A. Gado. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing 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.