Farah Deeba
About
In The Last Decade
Farah Deeba
39 papers receiving 329 citations
Peers
Comparison fields: 5 of 77
- Gastroenterology 91
- Electrical and Electronic Engineering 83
- Radiology, Nuclear Medicine and Imaging 80
- Computer Vision and Pattern Recognition 70
- Nuclear and High Energy Physics 67
Countries citing papers authored by Farah Deeba
This map shows the geographic impact of Farah Deeba'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 Farah Deeba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farah Deeba more than expected).
Fields of papers citing papers by Farah Deeba
This network shows the impact of papers produced by Farah Deeba. 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 Farah Deeba. The network helps show where Farah Deeba may publish in the future.
Co-authorship network of co-authors of Farah Deeba
This figure shows the co-authorship network connecting the top 25 collaborators of Farah Deeba. A scholar is included among the top collaborators of Farah Deeba 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 Farah Deeba. Farah Deeba 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 | 10 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 7 | |
| 14 | 11 | |
| 15 | A Saliency-Based Unsupervised Method for Angioectasia Detection in Capsule Endoscopic Images | 3 |
| 16 | 6 | |
| 17 | 10 | |
| 18 | 2 | |
| 19 | 37 | |
| 20 | EFFICACY OF FINE NEEDLE ASPIRATION CYTOLOGY IN THE DIAGNOSIS OF BREAST LUMPS | 3 |
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.