Bashra Kadhim Oleiwi
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Signal Processing top 10%
- Artificial Intelligence
- Aerospace Engineering
- Co-authors
- Hubert RothMohamed MohamedAhmad Taher AzarAlaa Kadhim FarhanRami Al-JarrahIbrahim A. HameedAmjad J. HumaidiAhmad H. Sabry
- Topics
- Robotic Path Planning Algorithms (10 papers)Advanced Control Systems Design (6 papers)COVID-19 diagnosis using AI (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaHeliyonAdvances in Engineering Software
- Partner nations
- IraqRussiaSaudi Arabia
In The Last Decade
Bashra Kadhim Oleiwi
37 papers receiving 314 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 138
- Control and Systems Engineering 109
- Signal Processing 50
- Artificial Intelligence 47
- Aerospace Engineering 39
Countries citing papers authored by Bashra Kadhim Oleiwi
This map shows the geographic impact of Bashra Kadhim Oleiwi'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 Bashra Kadhim Oleiwi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bashra Kadhim Oleiwi more than expected).
Fields of papers citing papers by Bashra Kadhim Oleiwi
This network shows the impact of papers produced by Bashra Kadhim Oleiwi. 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 Bashra Kadhim Oleiwi. The network helps show where Bashra Kadhim Oleiwi may publish in the future.
Co-authorship network of co-authors of Bashra Kadhim Oleiwi
This figure shows the co-authorship network connecting the top 25 collaborators of Bashra Kadhim Oleiwi. A scholar is included among the top collaborators of Bashra Kadhim Oleiwi 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 Bashra Kadhim Oleiwi. Bashra Kadhim Oleiwi 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 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 16 | |
| 13 | 16 | |
| 14 | 12 | |
| 15 | Fingerprint Recognition based on Collected Images using Deep Learning Technology | 1 |
| 16 | Deep learning technology for COVID-19 dataset expansion and detection model | 1 |
| 17 | 7 | |
| 18 | 5 | |
| 19 | 26 | |
| 20 | Simulation of Boiler Drum Wall Temperature Differential and its Estimation1 | 1 |
About Bashra Kadhim Oleiwi
Bashra Kadhim Oleiwi is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence, having authored 41 papers that have together received 324 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (10 papers), Advanced Control Systems Design (6 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (138 citations), Control and Systems Engineering (109 citations) and Signal Processing (50 citations). Bashra Kadhim Oleiwi has collaborated with scholars based in Iraq, Russia and Saudi Arabia. Frequent co-authors include Hubert Roth, Mohamed Mohamed, Ahmad Taher Azar, Alaa Kadhim Farhan, Rami Al-Jarrah, Ibrahim A. Hameed, Amjad J. Humaidi, Ahmad H. Sabry, Ahmed R. Nasser and Saim Ahmed. Their work appears in journals such as SHILAP Revista de lepidopterología, Heliyon and Advances in Engineering Software.
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.