Bevan Koopman
- Health Informatics top 1%
- Artificial Intelligence top 2%
- Topic Modeling 52
- Semantic Web and Ontologies 21
- Natural Language Processing Techniques 18
- Information Systems top 5%
- Information Retrieval and Search Behavior 22
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- Biomedical Text Mining and Ontologies 51
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- Meta-analysis and systematic reviews 9
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- Data Quality and Management 8
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- Health Sciences Research and Education 7
- Co-authors
- Guido ZucconHarrisen ScellsPeter BruzaAnthony NguyenShuai WangLeif AzzopardiLaurianne SitbonMichael Lawley
- Journals
- Artificial Intelligence in Medicine (3 papers)Journal of the Association for Information Science and Technology (3 papers)Information Retrieval (3 papers)
- Partner nations
- AustraliaUnited KingdomGermany
In The Last Decade
Bevan Koopman
95 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Health Informatics 128
- Artificial Intelligence 750
- Health Information Management 94
- Information Systems 249
- Medical Terminology 2
Countries citing papers authored by Bevan Koopman
This map shows the geographic impact of Bevan Koopman'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 Bevan Koopman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bevan Koopman more than expected).
Fields of papers citing papers by Bevan Koopman
This network shows the impact of papers produced by Bevan Koopman. 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 Bevan Koopman. The network helps show where Bevan Koopman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bevan Koopman, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 22 | |
| 5 | Health Cards to Assist Decision Making in Consumer Health Search. | 2019 | 2 |
| 6 | QUT IElab at CLEF 2018 Consumer Health Search Task: Knowledge Base Retrieval for Consumer Health Search | 2018 | 1 |
| 7 | QUT ielab at CLEF eHealth 2017 Technology Assisted Reviews Track: Initial experiments with learning to rank | 2017 | 3 |
| 8 | QUT ielab at CLEF 2017 e-Health IR Task: Knowledge Base Retrieval for Consumer Health Search. | 2017 | 2 |
| 9 | Information retrieval as semantic inference: A graph inference model applied to medical search | 2016 | 1 |
| 10 | Integrating and evaluating neural word embeddings in information retrieval | 2015 | 1 |
| 11 | Diagnose this if you can: On the effectiveness of search engines in finding medical self-diagnosis information | 2015 | 4 |
| 12 | Integrating understandability in the evaluation of consumer health search engines | 2014 | 12 |
| 13 | Why assessing relevance in medical IR is demanding | 2014 | 19 |
| 14 | Identify disorders in health records using Conditional Random Fields and Metamap: AEHRC at ShARe/CLEF 2013 eHealth Evaluation Lab Task 1 | 2013 | 6 |
| 15 | Retrieval of health advice on the web: AEHRC at ShARe/CLEF eHealth Evaluation Lab Task 3 | 2013 | 4 |
| 16 | Semantic Judgement of Medical Concepts: Combining Syntagmatic and Paradigmatic Information with the Tensor Encoding Model | 2012 | 6 |
| 17 | Exploiting SNOMED CT Concepts & Relationships for Clinical Information Retrieval: Australian e-Health Research Centre and Queensland University of Technology at the TREC 2012 Medical Track | 2012 | 7 |
| 18 | 2012 | 4 | |
| 19 | AEHRC & QUT at TREC 2011 Medical Track: a concept-based information retrieval approach | 2011 | 9 |
| 20 | Analysis of the effect of negation on information retrieval of medical data | 2010 | 9 |
About Bevan Koopman
Bevan Koopman is a scholar working on Health Informatics, Health Information Management and Artificial Intelligence, having authored 101 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (52 papers), Biomedical Text Mining and Ontologies (51 papers), Information Retrieval and Search Behavior (22 papers), Semantic Web and Ontologies (21 papers), Natural Language Processing Techniques (18 papers), Meta-analysis and systematic reviews (9 papers), Data Quality and Management (8 papers) and Health Sciences Research and Education (7 papers). The work is most often cited by research in Health Informatics (128 citations), Artificial Intelligence (750 citations) and Health Information Management (94 citations). Bevan Koopman has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Guido Zuccon, Harrisen Scells, Peter Bruza, Anthony Nguyen, Shuai Wang, Leif Azzopardi, Laurianne Sitbon, Michael Lawley, Aaron Nicolson and Jason Dowling. Their work appears in journals such as Artificial Intelligence in Medicine, Journal of the Association for Information Science and Technology, Information Retrieval, International Journal on Digital Libraries and Intelligent Systems with Applications.
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.