Alejandro Metke‐Jimenez
- Artificial Intelligence top 5%
- Molecular Biology
- Toxicology top 2%
- Computational Theory and Mathematics top 5%
- Health Information Management top 2%
- Co-authors
- Sarvnaz KarimiChen WangMadonna KempMichael LawleyCécile ParisRaj GaireDavid HansenJim Steel
- Topics
- Biomedical Text Mining and Ontologies (14 papers)Semantic Web and Ontologies (5 papers)Pharmacovigilance and Adverse Drug Reactions (5 papers)
- Journals
- ACM Computing SurveysJournal of the American Medical Informatics AssociationGenetics in Medicine
- Partner nations
- AustraliaSingaporeUnited Kingdom
In The Last Decade
Alejandro Metke‐Jimenez
21 papers receiving 449 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 258
- Molecular Biology 217
- Toxicology 95
- Computational Theory and Mathematics 83
- Health Information Management 65
Countries citing papers authored by Alejandro Metke‐Jimenez
This map shows the geographic impact of Alejandro Metke‐Jimenez'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 Alejandro Metke‐Jimenez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Metke‐Jimenez more than expected).
Fields of papers citing papers by Alejandro Metke‐Jimenez
This network shows the impact of papers produced by Alejandro Metke‐Jimenez. 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 Alejandro Metke‐Jimenez. The network helps show where Alejandro Metke‐Jimenez may publish in the future.
Co-authorship network of co-authors of Alejandro Metke‐Jimenez
This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Metke‐Jimenez. A scholar is included among the top collaborators of Alejandro Metke‐Jimenez 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 Alejandro Metke‐Jimenez. Alejandro Metke‐Jimenez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 25 | |
| 3 | 8 | |
| 4 | 12 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | FHIRCap: Transforming REDCap forms into FHIR resources. | 9 |
| 9 | FHIR OWL: Transforming OWL ontologies into FHIR terminology resources. | 3 |
| 10 | 43 | |
| 11 | Knowledge-based Feature Engineering for Detecting Medication and Adverse Drug Events from Electronic Health Records. | 1 |
| 12 | 33 | |
| 13 | Concept Identification and Normalisation for Adverse Drug Event Discovery in Medical Forums. | 18 |
| 14 | 172 | |
| 15 | 93 | |
| 16 | 7 | |
| 17 | 7 | |
| 18 | Snorocket 2.0: Concrete Domains and Concurrent Classification. | 8 |
| 19 | 5 | |
| 20 | 2 |
About Alejandro Metke‐Jimenez
Alejandro Metke‐Jimenez is a scholar working on Toxicology, Artificial Intelligence and Information Systems and Management, having authored 21 papers that have together received 475 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (14 papers), Semantic Web and Ontologies (5 papers) and Pharmacovigilance and Adverse Drug Reactions (5 papers). The work is most often cited by research in Toxicology (95 citations), Health Information Management (65 citations) and Health Informatics (12 citations). Alejandro Metke‐Jimenez has collaborated with scholars based in Australia, Singapore and United Kingdom. Frequent co-authors include Sarvnaz Karimi, Chen Wang, Madonna Kemp, Michael Lawley, Cécile Paris, Raj Gaire, David Hansen, Jim Steel, Hugo Leroux and Nicola Waddell. Their work appears in journals such as ACM Computing Surveys, Journal of the American Medical Informatics Association and Genetics in Medicine.
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.