Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Impact in
Classified as
- Authors
- Jane MorrisGraeme Hirst
- Journal
- Computational Linguistics
In The Last Decade
doi.org/w9017363 →Countries where authors are citing Lexical cohesion computed by thesaural relations as an indicator of the structure of text
This map shows the geographic impact of Lexical cohesion computed by thesaural relations as an indicator of the structure of text. 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 Lexical cohesion computed by thesaural relations as an indicator of the structure of text with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lexical cohesion computed by thesaural relations as an indicator of the structure of text more than expected).
Fields of papers citing Lexical cohesion computed by thesaural relations as an indicator of the structure of text
This network shows the impact of Lexical cohesion computed by thesaural relations as an indicator of the structure of text. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Lexical cohesion computed by thesaural relations as an indicator of the structure of text.
About Lexical cohesion computed by thesaural relations as an indicator of the structure of text
This paper, published in 1991, received 575 indexed citations . Written by Jane Morris and Graeme Hirst covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (501 citations), Information Systems (84 citations), Language and Linguistics (54 citations), Literature and Literary Theory (32 citations) and Computer Vision and Pattern Recognition (29 citations). Published in Computational Linguistics.
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.
This paper is also available at doi.org/w9017363.