Jane Morris
Impact in
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Semantic Web and Ontologies
- Text Readability and Simplification
- Text and Document Classification Technologies
- Language and Linguistics top 5%
Papers in
-
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Advanced Text Analysis Techniques 1
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- Language, Metaphor, and Cognition 2
- Journals
- Computational Linguistics (1 paper)Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI (2 papers)Journal of the American Society for Information Science and Technology (1 paper)
- Partner nations
- Canada
In The Last Decade
Jane Morris
6 papers receiving 554 citations
Jane Morris's Hit Papers
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 580
- Language and Linguistics 69
- Information Systems 87
- Literature and Literary Theory 37
- Experimental and Cognitive Psychology 31
Countries citing papers authored by Jane Morris
This map shows the geographic impact of Jane Morris'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 Jane Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Morris more than expected).
Fields of papers citing papers by Jane Morris
This network shows the impact of papers produced by Jane Morris. 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 Jane Morris. The network helps show where Jane Morris may publish in the future.
Co-authors
The 2 scholars most cited alongside Jane Morris, 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 | Lexical cohesion computed by thesaural relations as an indicator of the structure of text Hit paper breakdown → | 1991 | 575 |
| 2 | 2004 | 69 | |
| 3 | The Subjectivity of Lexical Cohesion in Text | 2004 | 8 |
| 4 | 2009 | 5 | |
| 5 | 2013 | 5 | |
| 6 | 2013 | 2 |
About Jane Morris
Jane Morris is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Language and Linguistics, General Health Professions and Information Systems, having authored 6 papers that have together received 664 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Lexicography and Language Studies (2 papers), Language, Metaphor, and Cognition (2 papers), Advanced Text Analysis Techniques (1 paper), Hermeneutics and Narrative Identity (1 paper), Information Retrieval and Search Behavior (1 paper) and Second Language Acquisition and Learning (1 paper). The work is most often cited by research in Artificial Intelligence (580 citations), Language and Linguistics (69 citations), Information Systems (87 citations), Literature and Literary Theory (37 citations) and Experimental and Cognitive Psychology (31 citations). Jane Morris has collaborated with scholars based in Canada. Frequent co-authors include Graeme Hirst and Clare Beghtol. Their work appears in journals such as Computational Linguistics, Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI and Journal of the American Society for Information Science and Technology.
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.