Madonna Kemp

435 total citations
10 papers, 272 citations indexed

About

Madonna Kemp is a scholar working on Molecular Biology, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Madonna Kemp has authored 10 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Health Information Management and 4 papers in Artificial Intelligence. Recurrent topics in Madonna Kemp's work include Biomedical Text Mining and Ontologies (9 papers), Medical Coding and Health Information (5 papers) and Electronic Health Records Systems (3 papers). Madonna Kemp is often cited by papers focused on Biomedical Text Mining and Ontologies (9 papers), Medical Coding and Health Information (5 papers) and Electronic Health Records Systems (3 papers). Madonna Kemp collaborates with scholars based in Australia and Canada. Madonna Kemp's co-authors include Sarvnaz Karimi, Alejandro Metke‐Jimenez, Chen Wang, Anthony Nguyen, Bevan Koopman, Michael Lawley, Ming Zhang, David Muscatello, Sarah Thackway and David Hansen and has published in prestigious journals such as The Medical Journal of Australia, Journal of Biomedical Informatics and BMC Medical Informatics and Decision Making.

In The Last Decade

Madonna Kemp

10 papers receiving 256 citations

Peers

Madonna Kemp

AI

MB

HIM

TOXIC

CTM

Badisse Dahamna France

Serena Jeblee Canada

Abhyuday Jagannatha United States

Zulfat Miftahutdinov Russia

Laura Stoutenborough United States

Maria Kvist Sweden

Zubair Afzal Netherlands

Abdul Mateen Rajput Germany

Arantza Casillas Spain

Ilseyar Alimova Russia

Badisse Dahamna France

Madonna Kemp

119 ×0.6

AI

137 ×1.0

MB

23 ×0.5

HIM

36 ×0.8

TOXIC

18 ×0.7

CTM

Citations per year, relative to Madonna Kemp Madonna Kemp (= 1×) peers Badisse Dahamna

Countries citing papers authored by Madonna Kemp

Since Specialization

Citations

This map shows the geographic impact of Madonna Kemp'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 Madonna Kemp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madonna Kemp more than expected).

Fields of papers citing papers by Madonna Kemp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madonna Kemp. 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 Madonna Kemp. The network helps show where Madonna Kemp may publish in the future.

Co-authorship network of co-authors of Madonna Kemp

This figure shows the co-authorship network connecting the top 25 collaborators of Madonna Kemp. A scholar is included among the top collaborators of Madonna Kemp 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 Madonna Kemp. Madonna Kemp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Kemp, Madonna, et al.. (2021). Semantic Search for Large Scale Clinical Ontologies.. PubMed. 2021. 910–919. 1 indexed citations

2.

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

3.

Nguyen, Anthony, Madonna Kemp, Bevan Koopman, et al.. (2018). Computer-Assisted Diagnostic Coding: Effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings.. Europe PMC (PubMed Central). 2018. 807–816. 28 indexed citations

4.

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

5.

Koopman, Bevan, Sarvnaz Karimi, Anthony Nguyen, et al.. (2015). Automatic classification of diseases from free-text death certificates for real-time surveillance. BMC Medical Informatics and Decision Making. 15(1). 53–53. 38 indexed citations

6.

Leroux, Hugo, Simon McBride, Laurent Lefort, Madonna Kemp, & Simon Gibson. (2012). A method for the semantic enrichment of clinical trial data. Studies in health technology and informatics. 178. 111–6. 3 indexed citations

7.

Hansen, David, et al.. (2011). Developing a national emergency department data reference set based on SNOMED CT. The Medical Journal of Australia. 194(S4). S8–10. 24 indexed citations

8.

Lawley, Michael, et al.. (2010). Agreeing on Meaning: A Fundamental of Sharing Health Information. Research Online (University of Wollongong). 7(1). 57. 1 indexed citations

9.

Zhang, Ming, et al.. (2009). Using SNOMED CT(R) - Enabled Data Collections in a National Clinical Research Program: Primary Care Data Can Be Used in Secondary Studies. 182. 3 indexed citations

10.

Kemp, Madonna, Sue Walker, & P. R. SCOTT. (2005). Coding of Thoughts, Words and Things. Health Information Management. 34(2). 54–56. 1 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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