Roland Sussex

39 papers and 650 indexed citations i.

About

Roland Sussex is a scholar working on Artificial Intelligence, Language and Linguistics and Linguistics and Language. According to data from OpenAlex, Roland Sussex has authored 39 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Language and Linguistics and 7 papers in Linguistics and Language. Recurrent topics in Roland Sussex’s work include Multilingual Education and Policy (6 papers), Linguistic Variation and Morphology (5 papers) and Natural Language Processing Techniques (5 papers). Roland Sussex is often cited by papers focused on Multilingual Education and Policy (6 papers), Linguistic Variation and Morphology (5 papers) and Natural Language Processing Techniques (5 papers). Roland Sussex collaborates with scholars based in Australia, New Zealand and United Kingdom. Roland Sussex's co-authors include Asaduzzaman Khan, M. Obaidul Hamid, Peter White, Fiona Bogossian, Robyn Cant, Simon Cooper, Khurshid Ahmad, Greville G. Corbett, Margaret Rogers and Thomas M. Stephens and has published in prestigious journals such as Pain, Computers & Education and TESOL Quarterly.

In The Last Decade

Co-authorship network of co-authors of Roland Sussex i

Fields of papers citing papers by Roland Sussex

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roland Sussex. 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 Roland Sussex. The network helps show where Roland Sussex may publish in the future.

Countries citing papers authored by Roland Sussex

Since Specialization
Citations

This map shows the geographic impact of Roland Sussex'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 Roland Sussex with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland Sussex more than expected).

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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