Shaimaa Al‐Janabi
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biophysics top 1%
- Computer Vision and Pattern Recognition top 10%
- Oncology
- Co-authors
- P. J. van DiestAndré HuismanFiebo J.W. ten KateMehdi JiwaAryan VinkRoos J. LeguitG. Johan A. OfferhausJosien P. W. Pluim
- Topics
- AI in cancer detection (11 papers)Cell Image Analysis Techniques (5 papers)Colorectal Cancer Screening and Detection (4 papers)
- Partner nations
- Netherlands
In The Last Decade
Shaimaa Al‐Janabi
14 papers receiving 688 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 502
- Radiology, Nuclear Medicine and Imaging 209
- Biophysics 207
- Computer Vision and Pattern Recognition 138
- Oncology 136
Countries citing papers authored by Shaimaa Al‐Janabi
This map shows the geographic impact of Shaimaa Al‐Janabi'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 Shaimaa Al‐Janabi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaimaa Al‐Janabi more than expected).
Fields of papers citing papers by Shaimaa Al‐Janabi
This network shows the impact of papers produced by Shaimaa Al‐Janabi. 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 Shaimaa Al‐Janabi. The network helps show where Shaimaa Al‐Janabi may publish in the future.
Co-authorship network of co-authors of Shaimaa Al‐Janabi
This figure shows the co-authorship network connecting the top 25 collaborators of Shaimaa Al‐Janabi. A scholar is included among the top collaborators of Shaimaa Al‐Janabi 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 Shaimaa Al‐Janabi. Shaimaa Al‐Janabi 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 | 4 | |
| 3 | 72 | |
| 4 | 12 | |
| 5 | 27 | |
| 6 | 2 | |
| 7 | 37 | |
| 8 | 51 | |
| 9 | 48 | |
| 10 | 34 | |
| 11 | 2 | |
| 12 | 71 | |
| 13 | 271 | |
| 14 | 69 |
About Shaimaa Al‐Janabi
Shaimaa Al‐Janabi is a scholar working on Biophysics, Artificial Intelligence and Oncology, having authored 14 papers that have together received 701 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Cell Image Analysis Techniques (5 papers) and Colorectal Cancer Screening and Detection (4 papers). The work is most often cited by research in Biophysics (207 citations), Artificial Intelligence (502 citations) and Health Informatics (13 citations). Shaimaa Al‐Janabi has collaborated with scholars based in Netherlands. Frequent co-authors include P. J. van Diest, André Huisman, Fiebo J.W. ten Kate, Mehdi Jiwa, Aryan Vink, Roos J. Leguit, G. Johan A. Offerhaus, Josien P. W. Pluim, Mitko Veta and Siri Willems. Their work appears in journals such as PLoS ONE, Cancer Research and Journal of Clinical Pathology.
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.