Michael Lawley
Impact in
-
- Electronic Health Records Systems
- Software top 5%
- Model-Driven Software Engineering Techniques
Papers in
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- Electronic Health Records Systems 9
- Co-authors
- David HansenAnthony NguyenShoni ColquistAlejandro Metke‐JimenezBevan KoopmanJim SteelPeter BruzaLaurianne Sitbon
- Journals
- Journal of Biomedical Semantics (3 papers)npj Digital Medicine (2 papers)Applied Ontology (1 paper)The Medical Journal of Australia (1 paper)Journal of the American Medical Informatics Association (1 paper)
- Partner nations
- AustraliaAustriaUnited Kingdom
In The Last Decade
Michael Lawley
46 papers receiving 564 citations
Peers
Comparison fields: 5 of 82
- Health Information Management 116
- Software 71
- Medical Terminology 4
- Health Informatics 19
- Artificial Intelligence 380
Countries citing papers authored by Michael Lawley
This map shows the geographic impact of Michael Lawley'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 Michael Lawley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lawley more than expected).
Fields of papers citing papers by Michael Lawley
This network shows the impact of papers produced by Michael Lawley. 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 Michael Lawley. The network helps show where Michael Lawley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Lawley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 0 | |
| 4 | 2019 | 7 | |
| 5 | 2019 | 1 | |
| 6 | Computer-Assisted Diagnostic Coding: Effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings. | 2018 | 28 |
| 7 | 2018 | 43 | |
| 8 | 2017 | 33 | |
| 9 | Information retrieval as semantic inference: A graph inference model applied to medical search | 2016 | 1 |
| 10 | ODM on FHIR: Towards Achieving Semantic Interoperability of Clinical Study Data. | 2015 | 2 |
| 11 | 2012 | 4 | |
| 12 | AEHRC & QUT at TREC 2011 Medical Track: a concept-based information retrieval approach | 2011 | 9 |
| 13 | Agreeing on Meaning: A Fundamental of Sharing Health Information | 2010 | 1 |
| 14 | Analysis of the effect of negation on information retrieval of medical data | 2010 | 9 |
| 15 | 2010 | 113 | |
| 16 | Building SNOMED CT Reference Sets for Use as Interface Terminologies | 2009 | 2 |
| 17 | Model synchronisation: definitions for round-trip engineering | 2008 | 18 |
| 18 | Semi-Automated Model Synchronisation in SOM. | 2008 | 1 |
| 19 | Language features for re-use and maintainability of MDA transformations | 2004 | 8 |
| 20 | A Query Language for EER Schemas. | 1994 | 12 |
About Michael Lawley
Michael Lawley is a scholar working on Medical Terminology, Health Information Management, Software, Artificial Intelligence and Management Information Systems, having authored 48 papers that have together received 600 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (30 papers), Semantic Web and Ontologies (19 papers), Topic Modeling (14 papers), Service-Oriented Architecture and Web Services (10 papers), Electronic Health Records Systems (9 papers), Business Process Modeling and Analysis (6 papers), Model-Driven Software Engineering Techniques (5 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Health Information Management (116 citations), Software (71 citations), Medical Terminology (4 citations), Health Informatics (19 citations) and Artificial Intelligence (380 citations). Michael Lawley has collaborated with scholars based in Australia, Austria and United Kingdom. Frequent co-authors include David Hansen, Anthony Nguyen, Shoni Colquist, Alejandro Metke‐Jimenez, Bevan Koopman, Jim Steel, Peter Bruza, Laurianne Sitbon, Kerry Raymond and Belinda E. Clarke. Their work appears in journals such as Journal of Biomedical Semantics, npj Digital Medicine, Applied Ontology, The Medical Journal of Australia and Journal of the American Medical Informatics Association.
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.