John McNaught
Impact in
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- Meta-analysis and systematic reviews
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
Papers in
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- Natural Language Processing Techniques 35
- Semantic Web and Ontologies 30
- Topic Modeling 27
- Advanced Text Analysis Techniques 9
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- Biomedical Text Mining and Ontologies 41
- Co-authors
- Sophia Ananiadou (53 shared papers)James Thomas (5 shared papers)Makoto Miwa (4 shared papers)Alison O’Mara-Eves (3 shared papers)Paul M. Thompson (21 shared papers)Yoshimasa Tsuruoka (8 shared papers)Raheel Nawaz (6 shared papers)Amit Kumar (1 shared paper)
- Journals
- Language Resources and Evaluation (7 papers)BMC Bioinformatics (6 papers)Research Synthesis Methods (2 papers)Systematic Reviews (2 papers)Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
John McNaught
88 papers receiving 2.9k citations
John McNaught's Hit Papers
Peers
Comparison fields: 5 of 160
- Statistics, Probability and Uncertainty 343
- Artificial Intelligence 1.6k
- Health Informatics 59
- Molecular Biology 1.4k
- Information Systems and Management 134
Countries citing papers authored by John McNaught
This map shows the geographic impact of John McNaught'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 John McNaught with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John McNaught more than expected).
Fields of papers citing papers by John McNaught
This network shows the impact of papers produced by John McNaught. 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 John McNaught. The network helps show where John McNaught may publish in the future.
Co-authors
The 25 scholars most cited alongside John McNaught, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Using text mining for study identification in systematic reviews: a systematic review of current approaches Hit paper breakdown → | 2015 | 457 |
| 2 | 2005 | 356 | |
| 3 | 2015 | 304 | |
| 4 | Text Mining for Biology And Biomedicine | 2005 | 273 |
| 5 | 2005 | 218 | |
| 6 | 2011 | 166 | |
| 7 | 2018 | 98 | |
| 8 | 2009 | 96 | |
| 9 | 2007 | 79 | |
| 10 | 2011 | 65 | |
| 11 | 2012 | 58 | |
| 12 | 2018 | 54 | |
| 13 | 2014 | 53 | |
| 14 | 2004 | 50 | |
| 15 | 2008 | 48 | |
| 16 | 2011 | 43 | |
| 17 | 2016 | 42 | |
| 18 | 2008 | 41 | |
| 19 | 2016 | 40 | |
| 20 | 2008 | 36 |
About John McNaught
John McNaught is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Language and Linguistics and Information Systems and Management, having authored 91 papers that have together received 3.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (41 papers), Natural Language Processing Techniques (35 papers), Semantic Web and Ontologies (30 papers), Topic Modeling (27 papers), Advanced Text Analysis Techniques (9 papers), linguistics and terminology studies (8 papers), Scientific Computing and Data Management (6 papers) and Service-Oriented Architecture and Web Services (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (343 citations), Artificial Intelligence (1.6k citations), Health Informatics (59 citations), Molecular Biology (1.4k citations) and Information Systems and Management (134 citations). John McNaught has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Sophia Ananiadou, James Thomas, Makoto Miwa, Alison O’Mara-Eves, Paul M. Thompson, Yoshimasa Tsuruoka, Raheel Nawaz, Amit Kumar, Irena Spasić and Jun’ichi Tsujii. Their work appears in journals such as Language Resources and Evaluation, BMC Bioinformatics, Research Synthesis Methods, Systematic Reviews and Bioinformatics.
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.