Alejandro Metke‐Jimenez

1.2k total citations
21 papers, 475 citations indexed

About

Alejandro Metke‐Jimenez is a scholar working on Molecular Biology, Artificial Intelligence and Toxicology. According to data from OpenAlex, Alejandro Metke‐Jimenez has authored 21 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Artificial Intelligence and 5 papers in Toxicology. Recurrent topics in Alejandro Metke‐Jimenez's work include Biomedical Text Mining and Ontologies (14 papers), Semantic Web and Ontologies (5 papers) and Pharmacovigilance and Adverse Drug Reactions (5 papers). Alejandro Metke‐Jimenez is often cited by papers focused on Biomedical Text Mining and Ontologies (14 papers), Semantic Web and Ontologies (5 papers) and Pharmacovigilance and Adverse Drug Reactions (5 papers). Alejandro Metke‐Jimenez collaborates with scholars based in Australia, Singapore and United Kingdom. Alejandro Metke‐Jimenez's co-authors include Sarvnaz Karimi, Chen Wang, Madonna Kemp, Michael Lawley, Cécile Paris, Raj Gaire, David Hansen, Jim Steel, Hugo Leroux and Nicola Waddell and has published in prestigious journals such as ACM Computing Surveys, Journal of the American Medical Informatics Association and Genetics in Medicine.

In The Last Decade

Alejandro Metke‐Jimenez

21 papers receiving 449 citations

Peers

Alejandro Metke‐Jimenez

TOXIC

CTM

HIM

Fleur Mougin France

Mathias Brochhausen United States

Louise Deléger France

Harsha Gurulingappa Germany

Natalia Grabar France

Graciela Rosemblat United States

Maria Kvist Sweden

Tanya Podchiyska United States

Abdul Mateen Rajput Germany

Henk Harkema United States

Fleur Mougin France

Alejandro Metke‐Jimenez

240 ×0.9

270 ×1.2

84 ×0.9

TOXIC

65 ×0.8

CTM

46 ×0.7

HIM

Citations per year, relative to Alejandro Metke‐Jimenez Alejandro Metke‐Jimenez (= 1×) peers Fleur Mougin

Countries citing papers authored by Alejandro Metke‐Jimenez

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Fitzgerald, Oisín, et al.. (2023). Continuous time recurrent neural networks: Overview and benchmarking at forecasting blood glucose in the intensive care unit. Journal of Biomedical Informatics. 146. 104498–104498. 6 indexed citations

Robertson, Alan J., Natalie B. Tan, Amanda B. Spurdle, et al.. (2022). Re-analysis of genomic data: An overview of the mechanisms and complexities of clinical adoption. Genetics in Medicine. 24(4). 798–810. 25 indexed citations

Metke‐Jimenez, Alejandro, et al.. (2022). Pathling: analytics on FHIR. Journal of Biomedical Semantics. 13(1). 23–23. 8 indexed citations

Fitzgerald, Oisín, Oscar Perez‐Concha, Blanca Gallego, et al.. (2021). Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU. Journal of the American Medical Informatics Association. 28(8). 1642–1650. 12 indexed citations

Bauer, Denis C., Alejandro Metke‐Jimenez, Sebastian Maurer‐Stroh, et al.. (2020). Interoperable medical data: The missing link for understanding COVID‐19. Transboundary and Emerging Diseases. 68(4). 1753–1760. 16 indexed citations

Kemp, Madonna, et al.. (2019). Can Wikipedia Be Used to Derive an Open Clinical Terminology?. Studies in health technology and informatics. 266. 136–141. 1 indexed citations

Metke‐Jimenez, Alejandro, et al.. (2019). A SMART on FHIR Prototype for Genomic Test Ordering. Studies in health technology and informatics. 266. 121–126. 5 indexed citations

Metke‐Jimenez, Alejandro & David Hansen. (2019). FHIRCap: Transforming REDCap forms into FHIR resources.. PubMed. 2019. 54–63. 9 indexed citations

Metke‐Jimenez, Alejandro, Michael Lawley, & David Hansen. (2019). FHIR OWL: Transforming OWL ontologies into FHIR terminology resources.. PubMed. 2019. 664–672. 3 indexed citations

10.

Metke‐Jimenez, Alejandro, Jim Steel, David Hansen, & Michael Lawley. (2018). Ontoserver: a syndicated terminology server. Journal of Biomedical Semantics. 9(1). 24–24. 43 indexed citations

11.

Metke‐Jimenez, Alejandro, et al.. (2018). Knowledge-based Feature Engineering for Detecting Medication and Adverse Drug Events from Electronic Health Records.. 31–38. 1 indexed citations

12.

Leroux, Hugo, Alejandro Metke‐Jimenez, & Michael Lawley. (2017). Towards achieving semantic interoperability of clinical study data with FHIR. Journal of Biomedical Semantics. 8(1). 41–41. 33 indexed citations

13.

Metke‐Jimenez, Alejandro & Sarvnaz Karimi. (2016). Concept Identification and Normalisation for Adverse Drug Event Discovery in Medical Forums.. 18 indexed citations

14.

Karimi, Sarvnaz, Alejandro Metke‐Jimenez, Madonna Kemp, & Chen Wang. (2015). Cadec: A corpus of adverse drug event annotations. Journal of Biomedical Informatics. 55. 73–81. 172 indexed citations

15.

Karimi, Sarvnaz, Chen Wang, Alejandro Metke‐Jimenez, Raj Gaire, & Cécile Paris. (2015). Text and Data Mining Techniques in Adverse Drug Reaction Detection. ACM Computing Surveys. 47(4). 1–39. 93 indexed citations

16.

Karimi, Sarvnaz, Alejandro Metke‐Jimenez, & Anthony Nguyen. (2015). CADEminer. 47–50. 7 indexed citations

17.

Metke‐Jimenez, Alejandro, Sarvnaz Karimi, & Cécile Paris. (2014). Evaluation of text-processing algorithms for adverse drug event extraction from social media. 15–20. 7 indexed citations

18.

Metke‐Jimenez, Alejandro & Michael Lawley. (2013). Snorocket 2.0: Concrete Domains and Concurrent Classification.. 32–38. 8 indexed citations

19.

Metke‐Jimenez, Alejandro, Kerry Raymond, & Ian MacColl. (2011). Information Extraction from Web Services - A Comparison of Tokenisation Algorithms. 12–23. 5 indexed citations

20.

Duddy, Keith, Michael Henderson, Alejandro Metke‐Jimenez, & Jim Steel. (2010). Design of a model-generated repository as a service for USDL. 707–713. 2 indexed citations

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.

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