Samuel Rahimeto Kebede
- Artificial Intelligence top 10%
- Neurology top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Plant Science
- Co-authors
- Taye Girma DebeleeFriedhelm SchwenkerWorku Gachena NegeraYehualashet Megersa AyanoHirpa G. Lemu
- Topics
- AI in cancer detection (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Brain Tumor Detection and Classification (2 papers)
In The Last Decade
Samuel Rahimeto Kebede
11 papers receiving 285 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 115
- Neurology 100
- Computer Vision and Pattern Recognition 92
- Radiology, Nuclear Medicine and Imaging 89
- Plant Science 35
Countries citing papers authored by Samuel Rahimeto Kebede
This map shows the geographic impact of Samuel Rahimeto Kebede'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 Samuel Rahimeto Kebede with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Rahimeto Kebede more than expected).
Fields of papers citing papers by Samuel Rahimeto Kebede
This network shows the impact of papers produced by Samuel Rahimeto Kebede. 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 Samuel Rahimeto Kebede. The network helps show where Samuel Rahimeto Kebede may publish in the future.
Co-authorship network of co-authors of Samuel Rahimeto Kebede
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Rahimeto Kebede. A scholar is included among the top collaborators of Samuel Rahimeto Kebede 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 Samuel Rahimeto Kebede. Samuel Rahimeto Kebede is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 6 | |
| 4 | 18 | |
| 5 | 27 | |
| 6 | 8 | |
| 7 | 91 | |
| 8 | 18 | |
| 9 | 46 | |
| 10 | 42 | |
| 11 | 24 |
About Samuel Rahimeto Kebede
Samuel Rahimeto Kebede is a scholar working on Neurology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 11 papers that have together received 292 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Neurology (100 citations), Computer Vision and Pattern Recognition (92 citations) and Radiology, Nuclear Medicine and Imaging (89 citations). Samuel Rahimeto Kebede has collaborated with scholars based in Ethiopia, Germany and Norway. Frequent co-authors include Taye Girma Debelee, Friedhelm Schwenker, Worku Gachena Negera, Yehualashet Megersa Ayano and Hirpa G. Lemu. Their work appears in journals such as Scientific Reports, Computational Intelligence and Neuroscience and Journal of 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.