Mike O’Neil
- Artificial Intelligence top 10%
- Molecular Biology
- Health Information Management top 5%
- Education
- Biomedical Engineering
- Co-authors
- Andrzej GlowinskiC.J. PriceLen HandPeter SandersonJ.C. BarbenelBalvinder KhambayAshraf AyoubKurt Naudi
- Topics
- Biomedical Text Mining and Ontologies (4 papers)linguistics and terminology studies (3 papers)AI-based Problem Solving and Planning (2 papers)
- Journals
- PhytochemistryInternational Journal of Oral and Maxillofacial SurgeryArtificial Intelligence in Medicine
- Partner nations
- United KingdomSingaporeUnited States
In The Last Decade
Mike O’Neil
17 papers receiving 332 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 114
- Molecular Biology 106
- Health Information Management 62
- Education 49
- Biomedical Engineering 41
Countries citing papers authored by Mike O’Neil
This map shows the geographic impact of Mike O’Neil'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 Mike O’Neil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike O’Neil more than expected).
Fields of papers citing papers by Mike O’Neil
This network shows the impact of papers produced by Mike O’Neil. 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 Mike O’Neil. The network helps show where Mike O’Neil may publish in the future.
Co-authorship network of co-authors of Mike O’Neil
This figure shows the co-authorship network connecting the top 25 collaborators of Mike O’Neil. A scholar is included among the top collaborators of Mike O’Neil 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 Mike O’Neil. Mike O’Neil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 43 | |
| 3 | 27 | |
| 4 | 14 | |
| 5 | 14 | |
| 6 | 17 | |
| 7 | Clinical Vocabularies - Their Potential as Classifications | 1 |
| 8 | The Read Thesaurus--creation and beyond. | 6 |
| 9 | Indexing the Directed Acyclic Graph Hierarchy of the Read Thesaurus | 1 |
| 10 | 32 | |
| 11 | Anatomical characterisation of surgical procedures in the Read Thesaurus. | 12 |
| 12 | 124 | |
| 13 | 10 | |
| 14 | 18 | |
| 15 | 17 | |
| 16 | 26 | |
| 17 | 1 |
About Mike O’Neil
Mike O’Neil is a scholar working on Medical Terminology, Anatomy and Language and Linguistics, having authored 17 papers that have together received 368 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), linguistics and terminology studies (3 papers) and AI-based Problem Solving and Planning (2 papers). The work is most often cited by research in Health Information Management (62 citations), Anatomy (7 citations) and Issues, ethics and legal aspects (5 citations). Mike O’Neil has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Andrzej Glowinski, C.J. Price, Len Hand, Peter Sanderson, J.C. Barbenel, Balvinder Khambay, Ashraf Ayoub, Kurt Naudi, Xiangyang Ju and Julie Fox. Their work appears in journals such as Phytochemistry, International Journal of Oral and Maxillofacial Surgery and Artificial Intelligence 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.