Nicola Stokes
- Artificial Intelligence top 5%
- Topic Modeling 19
- Advanced Text Analysis Techniques 15
- Natural Language Processing Techniques 15
- Semantic Web and Ontologies 5
- Speech and dialogue systems 2
- Information Systems top 5%
- Web Data Mining and Analysis 3
- Information Retrieval and Search Behavior 3
- Signal Processing top 10%
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- Biomedical Text Mining and Ontologies 6
Nicola Stokes
32 papers receiving 442 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 373
- Information Systems 138
- Geography, Planning and Development 32
- Signal Processing 53
- Statistical and Nonlinear Physics 31
Countries citing papers authored by Nicola Stokes
This map shows the geographic impact of Nicola Stokes'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 Nicola Stokes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Stokes more than expected).
Fields of papers citing papers by Nicola Stokes
This network shows the impact of papers produced by Nicola Stokes. 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 Nicola Stokes. The network helps show where Nicola Stokes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicola Stokes, 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 | 2018 | 14 | |
| 2 | Medical Disorder Recognition with Structural Support Vector Machines. | 2013 | 5 |
| 3 | 2013 | 5 | |
| 4 | 2013 | 3 | |
| 5 | 2012 | 8 | |
| 6 | 2011 | 19 | |
| 7 | 2009 | 17 | |
| 8 | 2009 | 55 | |
| 9 | 2009 | 30 | |
| 10 | 2008 | 46 | |
| 11 | Entity-Based Relevance Feedback for Genomic List Answer Retrieval. | 2007 | 13 |
| 12 | Exploring Probabilistic Toponym Resolution for Geographical Information Retrieval | 2006 | 16 |
| 13 | SeLeCT: a lexical cohesion based news story segmentation system | 2004 | 56 |
| 14 | Proceedings of the Student Research Workshop at HLT-NAACL 2004 | 2004 | 3 |
| 15 | Comparing Redundancy Removal Techniques for Multi–Document Summarisation | 2004 | 6 |
| 16 | News Story Gisting at University College Dublin | 2004 | 5 |
| 17 | 2004 | 1 | |
| 18 | 2001 | 24 | |
| 19 | Lexical semantic relatedness and online new event detection. | 2000 | 2 |
| 20 | 2000 | 1 |
About Nicola Stokes
Nicola Stokes is a scholar working on Artificial Intelligence, Geography, Planning and Development and Information Systems, having authored 32 papers that have together received 489 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Advanced Text Analysis Techniques (15 papers), Natural Language Processing Techniques (15 papers), Biomedical Text Mining and Ontologies (6 papers), Semantic Web and Ontologies (5 papers), Web Data Mining and Analysis (3 papers), Information Retrieval and Search Behavior (3 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (373 citations), Information Systems (138 citations) and Geography, Planning and Development (32 citations). Nicola Stokes has collaborated with scholars based in Ireland, Australia and Canada. Frequent co-authors include Joe Carthy, Alan F. Smeaton, Lawrence Cavedon, James Bailey, Justin Zobel, Jian Pei, Yi Li, Alistair Moffat, Joseph Clare and John Dunnion. Their work appears in journals such as Information Retrieval, Computational Linguistics, Security Journal, Interdisciplinary Science Reviews and Journal of Biomedical 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.