Ghada Zamzmi
- Radiology, Nuclear Medicine and Imaging top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Artificial Intelligence top 10%
- Pharmacy top 2%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Sameer AntaniDmitry B. GoldgofYu SunSivaramakrishnan RajaramanRangachar KasturiTerri AshmeadeRuicong ZhiThao Ho
- Topics
- Pediatric Pain Management Techniques (14 papers)COVID-19 diagnosis using AI (14 papers)Radiomics and Machine Learning in Medical Imaging (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ghada Zamzmi
54 papers receiving 636 citations
Peers
Comparison fields: 5 of 99
- Radiology, Nuclear Medicine and Imaging 197
- Pediatrics, Perinatology and Child Health 181
- Artificial Intelligence 127
- Pharmacy 96
- Computer Vision and Pattern Recognition 92
Countries citing papers authored by Ghada Zamzmi
This map shows the geographic impact of Ghada Zamzmi'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 Ghada Zamzmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghada Zamzmi more than expected).
Fields of papers citing papers by Ghada Zamzmi
This network shows the impact of papers produced by Ghada Zamzmi. 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 Ghada Zamzmi. The network helps show where Ghada Zamzmi may publish in the future.
Co-authorship network of co-authors of Ghada Zamzmi
This figure shows the co-authorship network connecting the top 25 collaborators of Ghada Zamzmi. A scholar is included among the top collaborators of Ghada Zamzmi 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 Ghada Zamzmi. Ghada Zamzmi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 25 | |
| 9 | 31 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 19 | |
| 16 | 17 | |
| 17 | 51 | |
| 18 | 33 | |
| 19 | 14 | |
| 20 | 72 |
About Ghada Zamzmi
Ghada Zamzmi is a scholar working on Health Informatics, Pharmacy and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 649 indexed citations. Recurring topics across this work include Pediatric Pain Management Techniques (14 papers), COVID-19 diagnosis using AI (14 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). The work is most often cited by research in Health Informatics (49 citations), Pharmacy (96 citations) and Pediatrics, Perinatology and Child Health (181 citations). Ghada Zamzmi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Sameer Antani, Dmitry B. Goldgof, Yu Sun, Sivaramakrishnan Rajaraman, Rangachar Kasturi, Terri Ashmeade, Ruicong Zhi, Thao Ho, Vandana Sachdev and Les Folio. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.
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.