Nigel Collier
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Health Informatics top 2%
Papers in
-
- Topic Modeling 68
- Natural Language Processing Techniques 35
- Sentiment Analysis and Opinion Mining 15
- Semantic Web and Ontologies 8
- Advanced Text Analysis Techniques 4
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- Biomedical Text Mining and Ontologies 77
- Co-authors
- Tony Mullen (7 shared papers)Fangyu Liu (19 shared papers)Koichi Takeuchi (13 shared papers)Mohammad Taher Pilehvar (23 shared papers)Nut Limsopatham (9 shared papers)Jun’ichi Tsujii (13 shared papers)Chikashi Nobata (11 shared papers)Son Doan (14 shared papers)
- Journals
- Journal of Biomedical Semantics (8 papers)PLoS ONE (4 papers)International Journal of Medical Informatics (4 papers)Database (4 papers)Bioinformatics (4 papers)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Nigel Collier
190 papers receiving 6.3k citations
Nigel Collier's Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 3.2k
- Health Informatics 90
- General Social Sciences 113
- Molecular Biology 1.7k
- Epidemiology 621
Countries citing papers authored by Nigel Collier
This map shows the geographic impact of Nigel Collier'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 Nigel Collier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel Collier more than expected).
Fields of papers citing papers by Nigel Collier
This network shows the impact of papers produced by Nigel Collier. 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 Nigel Collier. The network helps show where Nigel Collier may publish in the future.
Co-authors
The 25 scholars most cited alongside Nigel Collier, 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 200 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sentiment Analysis using Support Vector Machines with Diverse Information Sources Hit paper breakdown → | 2004 | 523 |
| 2 | 2004 | 431 | |
| 3 | 2013 | 333 | |
| 4 | 2000 | 208 | |
| 5 | 2021 | 205 | |
| 6 | 2008 | 199 | |
| 7 | 2013 | 186 | |
| 8 | On-line Trend Analysis with Topic Models: #twitter Trends Detection Topic Model Online | 2012 | 134 |
| 9 | 2002 | 103 | |
| 10 | 2016 | 101 | |
| 11 | 2021 | 100 | |
| 12 | 2010 | 98 | |
| 13 | 2017 | 98 | |
| 14 | 2017 | 96 | |
| 15 | Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on | 2013 | 95 |
| 16 | 2004 | 87 | |
| 17 | 2023 | 86 | |
| 18 | 2004 | 82 | |
| 19 | 2005 | 82 | |
| 20 | 2011 | 82 |
About Nigel Collier
Nigel Collier is a scholar working on Artificial Intelligence, Molecular Biology, Epidemiology, Computer Vision and Pattern Recognition and Toxicology, having authored 200 papers that have together received 6.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (77 papers), Topic Modeling (68 papers), Natural Language Processing Techniques (35 papers), Data-Driven Disease Surveillance (25 papers), Sentiment Analysis and Opinion Mining (15 papers), Semantic Web and Ontologies (8 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (3.2k citations), Health Informatics (90 citations), General Social Sciences (113 citations), Molecular Biology (1.7k citations) and Epidemiology (621 citations). Nigel Collier has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Tony Mullen, Fangyu Liu, Koichi Takeuchi, Mohammad Taher Pilehvar, Nut Limsopatham, Jun’ichi Tsujii, Chikashi Nobata, Son Doan, Tomoko Ohta and Yuka Tateisi. Their work appears in journals such as Journal of Biomedical Semantics, PLoS ONE, International Journal of Medical Informatics, Database 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.