Joss Moorkens

35 papers and 477 indexed citations i.

About

Joss Moorkens is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Joss Moorkens has authored 35 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Language and Linguistics. Recurrent topics in Joss Moorkens’s work include Natural Language Processing Techniques (16 papers), Topic Modeling (13 papers) and Software Engineering Research (5 papers). Joss Moorkens is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (13 papers) and Software Engineering Research (5 papers). Joss Moorkens collaborates with scholars based in Ireland, The Netherlands and United Kingdom. Joss Moorkens's co-authors include Andy Way, Sheila Castilho, Federico Gaspari, Stephen Doherty, Ana Guerberof Arenas, John Tinsley, Iacer Calixto, Sharon O’Brien, Antonio Toral and Fábio Alves and has published in prestigious journals such as JAMA Pediatrics, Language Resources and Evaluation and Social Media + Society.

In The Last Decade

Co-authorship network of co-authors of Joss Moorkens i

Fields of papers citing papers by Joss Moorkens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joss Moorkens

Since Specialization
Citations

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