Diana Maynard
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Information Systems top 1%
- Web Data Mining and Analysis
- Service-Oriented Architecture and Web Services
Papers in
-
- Natural Language Processing Techniques 44
- Semantic Web and Ontologies 43
- Topic Modeling 27
- Advanced Text Analysis Techniques 16
- Speech and dialogue systems 9
-
- Service-Oriented Architecture and Web Services 11
- Web Data Mining and Analysis 8
- Co-authors
- Kalina BontchevaHamish CunninghamValentin TablanMark GreenwoodWim PetersYaoyong LiCristian UrsuJohann Petrak
- Journals
- Language Resources and Evaluation (13 papers)Journal of Web Semantics (4 papers)Future Internet (2 papers)Natural Language Engineering (2 papers)Information Sciences (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Diana Maynard
98 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 2.0k
- Information Systems 771
- Communication 140
- Management Science and Operations Research 244
- Geography, Planning and Development 64
Countries citing papers authored by Diana Maynard
This map shows the geographic impact of Diana Maynard'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 Diana Maynard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Maynard more than expected).
Fields of papers citing papers by Diana Maynard
This network shows the impact of papers produced by Diana Maynard. 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 Diana Maynard. The network helps show where Diana Maynard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Diana Maynard, 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 | 2023 | 21 | |
| 2 | Challenges of Evaluating Sentiment Analysis Tools on Social Media | 2016 | 20 |
| 3 | 2015 | 43 | |
| 4 | 2015 | 13 | |
| 5 | Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis. | 2014 | 206 |
| 6 | 2013 | 15 | |
| 7 | Large Scale Semantic Annotation, Indexing and Search at The National Archives | 2012 | 7 |
| 8 | Evaluating Evaluation Metrics for Ontology-Based Applications: Infinite Reflection | 2008 | 7 |
| 9 | Benchmarking Textual Annotation Tools for the Semantic Web | 2008 | 7 |
| 10 | The Semantic Web, 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15 | 2007 | 6 |
| 11 | Creating Tools for Morphological Analysis of Sumerian | 2006 | 6 |
| 12 | Automatic Language-Independent Induction of Gazetteer Lists. | 2004 | 12 |
| 13 | Creation of Reusable Components and Language Resources for Named Entity Recognition in Russian. | 2004 | 7 |
| 14 | How feasible is the reuse of grammars for Named Entity Recognition | 2002 | 14 |
| 15 | A unicode-based environment for creation and use of language resources. | 2002 | 13 |
| 16 | Extracting Information for Automatic Indexing of Multimedia Material. | 2002 | 4 |
| 17 | Creating and Using Domain-specific Ontologies for Terminological Applications | 2000 | 1 |
| 18 | Experience using GATE for NLP R&D | 2000 | 14 |
| 19 | Identifying contextual information for multi-word term extraction | 1999 | 24 |
| 20 | Term sense disambiguation using a domain-specific thesaurus | 1998 | 10 |
About Diana Maynard
Diana Maynard is a scholar working on Artificial Intelligence, Information Systems, Language and Linguistics, Communication and General Social Sciences, having authored 102 papers that have together received 2.6k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (44 papers), Semantic Web and Ontologies (43 papers), Topic Modeling (27 papers), Advanced Text Analysis Techniques (16 papers), Biomedical Text Mining and Ontologies (11 papers), Service-Oriented Architecture and Web Services (11 papers), Speech and dialogue systems (9 papers) and Web Data Mining and Analysis (8 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Information Systems (771 citations), Communication (140 citations), Management Science and Operations Research (244 citations) and Geography, Planning and Development (64 citations). Diana Maynard has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Kalina Bontcheva, Hamish Cunningham, Valentin Tablan, Mark Greenwood, Wim Peters, Yaoyong Li, Cristian Ursu, Johann Petrak, Sophia Ananiadou and Leon Derczynski. Their work appears in journals such as Language Resources and Evaluation, Journal of Web Semantics, Future Internet, Natural Language Engineering and Information Sciences.
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.