Luke T. Slater
- Health Informatics top 10%
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- Cardiovascular Function and Risk Factors 2
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- Biomedical Text Mining and Ontologies 18
- Bioinformatics and Genomic Networks 3
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- Semantic Web and Ontologies 9
- Topic Modeling 7
- Natural Language Processing Techniques 5
- Machine Learning in Healthcare 2
- Advanced Text Analysis Techniques 2
- Co-authors
- Georgios V. GkoutosKarina V BuntingDipak KotechaRichard P. SteedsJennifer K. RogersRobert HoehndorfJohn A. WilliamsAndreas Karwath
- Partner nations
- United KingdomSaudi ArabiaSpain
In The Last Decade
Luke T. Slater
26 papers receiving 268 citations
Peers
Comparison fields: 5 of 81
- Health Informatics 18
- Cardiology and Cardiovascular Medicine 115
- Health Information Management 11
- Radiology, Nuclear Medicine and Imaging 55
- Critical Care and Intensive Care Medicine 12
Countries citing papers authored by Luke T. Slater
This map shows the geographic impact of Luke T. Slater'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 Luke T. Slater with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke T. Slater more than expected).
Fields of papers citing papers by Luke T. Slater
This network shows the impact of papers produced by Luke T. Slater. 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 Luke T. Slater. The network helps show where Luke T. Slater may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luke T. Slater, 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 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 61 | |
| 15 | 2020 | 13 | |
| 16 | 2019 | 109 | |
| 17 | 2016 | 9 | |
| 18 | AberOWL: An ontology portal with OWL EL reasoning | 2015 | 1 |
| 19 | Visualizing ontologies with AberOWL | 2015 | 1 |
| 20 | 2014 | 2 |
About Luke T. Slater
Luke T. Slater is a scholar working on Health Informatics, Artificial Intelligence and Molecular Biology, having authored 28 papers that have together received 272 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (18 papers), Semantic Web and Ontologies (9 papers), Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers), Bioinformatics and Genomic Networks (3 papers), Machine Learning in Healthcare (2 papers), Advanced Text Analysis Techniques (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Health Informatics (18 citations), Cardiology and Cardiovascular Medicine (115 citations) and Health Information Management (11 citations). Luke T. Slater has collaborated with scholars based in United Kingdom, Saudi Arabia and Spain. Frequent co-authors include Georgios V. Gkoutos, Karina V Bunting, Dipak Kotecha, Richard P. Steeds, Jennifer K. Rogers, Robert Hoehndorf, John A. Williams, Andreas Karwath, Victor Roth Cardoso and Paul N. Schofield.
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.