Nigel Collier

8.8k citations
173 papers · 5.2k · 1 hit paper · h-index 40

Impact in

Papers in

    • Topic Modeling 84
    • Natural Language Processing Techniques 70
    • Semantic Web and Ontologies 29
    • Advanced Text Analysis Techniques 22
    • Sentiment Analysis and Opinion Mining 9
    • Biomedical Text Mining and Ontologies 70

Nigel Collier

162 papers receiving 4.9k citations

Nigel Collier's Hit Papers

Change-point detection in time-series data by relative density-ratio estimation 2013 · 291 citations
2910+4+8Years since publication50100150200250

Peers

Nigel Collier
Comparison fields: 5 of 173
  • Artificial Intelligence 3.3k
  • Geography, Planning and Development 151
  • Molecular Biology 1.6k
  • Health Informatics 26
  • Information Systems 442
Replace John Bauer with:
John Bauer United States
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Silvia Miksch Austria
Naren Ramakrishnan United States
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Nigel Collier relative to John Bauer United States John Bauer's profile →
Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Nigel Collier

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nigel Collier Line = papers co-authored together Nigel Collier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sentiment Analysis using Support Vector Machines with Diverse Information Sources
2004441
2 2004371
3
Change-point detection in time-series data by relative density-ratio estimation
Hit paper breakdown →
2013291
4 2000174
5 2008170
6 2013163
7 2021156
8
On-line Trend Analysis with Topic Models: #twitter Trends Detection Topic Model Online
2012112
9
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
201394
10 201789
11 201687
12 202186
13 201785
14 200283
15 201081
16 200580
17 200475
18 200474
19
Automatic Term Identification and Classification in Biology Texts.
199973
20 202170

About Nigel Collier

Nigel Collier is a scholar working on Artificial Intelligence, Molecular Biology, Epidemiology, Information Systems and Computer Vision and Pattern Recognition, having authored 173 papers that have together received 5.2k indexed citations. Recurring topics across this work include Topic Modeling (84 papers), Natural Language Processing Techniques (70 papers), Biomedical Text Mining and Ontologies (70 papers), Semantic Web and Ontologies (29 papers), Data-Driven Disease Surveillance (22 papers), Advanced Text Analysis Techniques (22 papers), Multimodal Machine Learning Applications (9 papers) and Sentiment Analysis and Opinion Mining (9 papers). The work is most often cited by research in Artificial Intelligence (3.3k citations), Geography, Planning and Development (151 citations), Molecular Biology (1.6k citations), Health Informatics (26 citations) and Information Systems (442 citations). Nigel Collier has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Tony Mullen, Nut Limsopatham, Koichi Takeuchi, Fangyu Liu, Chikashi Nobata, Jun’ichi Tsujii, Mohammad Taher Pilehvar, Tomoko Ohta, Yuka Tateisi and Ai Kawazoe. Their work appears in journals such as Journal of Biomedical Semantics, PLoS ONE, Bioinformatics, International Journal of Medical Informatics and Proceedings Genome Informatics Workshop/Genome informatics.

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.

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