Zina Ibrahim
- Molecular Biology
- Artificial Intelligence top 10%
- Physiology
- Epidemiology
- Toxicology top 5%
- Co-authors
- Richard DobsonHonghan WuRobert StewartMatthew BroadbentEhtesham IqbalOlubanké DzahiniDaniel BeanRichard Jackson
- Topics
- Machine Learning in Healthcare (8 papers)Biomedical Text Mining and Ontologies (8 papers)Pharmacovigilance and Adverse Drug Reactions (6 papers)
- Partner nations
- United KingdomCanadaAustralia
In The Last Decade
Zina Ibrahim
29 papers receiving 587 citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 239
- Artificial Intelligence 194
- Physiology 82
- Epidemiology 67
- Toxicology 61
Countries citing papers authored by Zina Ibrahim
This map shows the geographic impact of Zina Ibrahim'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 Zina Ibrahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zina Ibrahim more than expected).
Fields of papers citing papers by Zina Ibrahim
This network shows the impact of papers produced by Zina Ibrahim. 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 Zina Ibrahim. The network helps show where Zina Ibrahim may publish in the future.
Co-authorship network of co-authors of Zina Ibrahim
This figure shows the co-authorship network connecting the top 25 collaborators of Zina Ibrahim. A scholar is included among the top collaborators of Zina Ibrahim 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 Zina Ibrahim. Zina Ibrahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 18 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 32 | |
| 9 | 40 | |
| 10 | Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification. | 1 |
| 11 | 11 | |
| 12 | 73 | |
| 13 | Preface: The 2nd International Workshop on Knowledge Discovery in Healthcare Data (KDH) | 1 |
| 14 | 79 | |
| 15 | 36 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | The International Florida Artificial Intelligence Research Society Conference | 8 |
| 19 | 117 | |
| 20 | 10 |
About Zina Ibrahim
Zina Ibrahim is a scholar working on Toxicology, Geriatrics and Gerontology and Health Information Management, having authored 32 papers that have together received 598 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (8 papers), Biomedical Text Mining and Ontologies (8 papers) and Pharmacovigilance and Adverse Drug Reactions (6 papers). The work is most often cited by research in Health Informatics (24 citations), Toxicology (61 citations) and Health Information Management (57 citations). Zina Ibrahim has collaborated with scholars based in United Kingdom, Canada and Australia. Frequent co-authors include Richard Dobson, Honghan Wu, Robert Stewart, Matthew Broadbent, Ehtesham Iqbal, Olubanké Dzahini, Daniel Bean, Richard Jackson, Lukas Stappen and Chandra Mouli Pandey. Their work appears in journals such as The Lancet, Nucleic Acids Research and PLoS ONE.
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.