John McNaught
Impact in
-
- Meta-analysis and systematic reviews
- scientometrics and bibliometrics research
- General Social Sciences top 0.5%
- Computational and Text Analysis Methods
Papers in
-
- Natural Language Processing Techniques 26
- Semantic Web and Ontologies 10
- Advanced Text Analysis Techniques 8
- Sentiment Analysis and Opinion Mining 5
-
- linguistics and terminology studies 9
- Co-authors
- Sophia Ananiadou (51 shared papers)James Andrew Thomas (4 shared papers)Makoto Miwa (3 shared papers)Yoshimasa Tsuruoka (8 shared papers)Alison O’Mara-Eves (2 shared papers)Jun’ichi Tsujii (3 shared papers)Raheel Nawaz (6 shared papers)Irena Spasić (1 shared paper)
- Journals
- Language Resources and Evaluation (9 papers)BMC Bioinformatics (6 papers)Research Synthesis Methods (2 papers)Nucleic Acids Research (1 paper)Information Visualization (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
John McNaught
88 papers receiving 2.8k citations
John McNaught's Hit Papers
Peers
Comparison fields: 5 of 137
- Statistics, Probability and Uncertainty 603
- General Social Sciences 133
- Artificial Intelligence 797
- Molecular Biology 1.2k
- Information Systems 277
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 | 504 |
| 2 | 2005 | 358 | |
| 3 | Text Mining for Biology And Biomedicine | 2005 | 273 |
| 4 | 2005 | 216 | |
| 5 | 2011 | 176 | |
| 6 | 2018 | 104 | |
| 7 | 2009 | 94 | |
| 8 | 2007 | 81 | |
| 9 | 2011 | 64 | |
| 10 | 2012 | 59 | |
| 11 | 2014 | 57 | |
| 12 | 2018 | 57 | |
| 13 | 2008 | 48 | |
| 14 | 2011 | 47 | |
| 15 | 2016 | 46 | |
| 16 | 2004 | 45 | |
| 17 | 2010 | 45 | |
| 18 | 2008 | 43 | |
| 19 | 2016 | 40 | |
| 20 | 2008 | 36 |
About John McNaught
John McNaught is a scholar working on Artificial Intelligence, Language and Linguistics, Molecular Biology, Information Systems and Statistics, Probability and Uncertainty, having authored 91 papers that have together received 3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (34 papers), Natural Language Processing Techniques (26 papers), Semantic Web and Ontologies (10 papers), linguistics and terminology studies (9 papers), Advanced Text Analysis Techniques (8 papers), Information Retrieval and Search Behavior (8 papers), Meta-analysis and systematic reviews (5 papers) and Sentiment Analysis and Opinion Mining (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (603 citations), General Social Sciences (133 citations), Artificial Intelligence (797 citations), Molecular Biology (1.2k citations) and Information Systems (277 citations). John McNaught has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Sophia Ananiadou, James Andrew Thomas, Makoto Miwa, Yoshimasa Tsuruoka, Alison O’Mara-Eves, Jun’ichi Tsujii, Raheel Nawaz, Irena Spasić, Amit Kumar and Tomoko Ohta. Their work appears in journals such as Language Resources and Evaluation, BMC Bioinformatics, Research Synthesis Methods, Nucleic Acids Research and Information Visualization.
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.