Rawan Ghnemat
- Artificial Intelligence
- Information Systems top 10%
- Software top 10%
- Political Science and International Relations
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Qasem Abu Al‐HaijaAdnan ShaoutAmjad HudaibSamar Al-SaqqaMoh’d Anwer AL-ShboulAmmar ElhassanCyrille BertelleM. A. Aziz-Alaoui
- Topics
- Brain Tumor Detection and Classification (4 papers)Advanced Neural Network Applications (4 papers)AI in cancer detection (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeural Computing and ApplicationsInternational Journal of Bifurcation and Chaos
- Partner nations
- JordanFranceUnited States
In The Last Decade
Rawan Ghnemat
20 papers receiving 252 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 78
- Information Systems 68
- Software 39
- Political Science and International Relations 37
- Radiology, Nuclear Medicine and Imaging 36
Countries citing papers authored by Rawan Ghnemat
This map shows the geographic impact of Rawan Ghnemat'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 Rawan Ghnemat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rawan Ghnemat more than expected).
Fields of papers citing papers by Rawan Ghnemat
This network shows the impact of papers produced by Rawan Ghnemat. 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 Rawan Ghnemat. The network helps show where Rawan Ghnemat may publish in the future.
Co-authorship network of co-authors of Rawan Ghnemat
This figure shows the co-authorship network connecting the top 25 collaborators of Rawan Ghnemat. A scholar is included among the top collaborators of Rawan Ghnemat 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 Rawan Ghnemat. Rawan Ghnemat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 35 | |
| 6 | 11 | |
| 7 | 21 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 44 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | 0 |
About Rawan Ghnemat
Rawan Ghnemat is a scholar working on Health Informatics, Neurology and Health Information Management, having authored 28 papers that have together received 272 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (4 papers), Advanced Neural Network Applications (4 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (23 citations), Software (39 citations) and Computer Science Applications (25 citations). Rawan Ghnemat has collaborated with scholars based in Jordan, France and United States. Frequent co-authors include Qasem Abu Al‐Haija, Adnan Shaout, Amjad Hudaib, Samar Al-Saqqa, Moh’d Anwer AL-Shboul, Ammar Elhassan, Cyrille Bertelle, M. A. Aziz-Alaoui, Arafat Awajan and Nailah Al–Madi. Their work appears in journals such as SHILAP Revista de lepidopterología, Neural Computing and Applications and International Journal of Bifurcation and Chaos.
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.