Rachel Bawden

10 papers and 245 indexed citations i.

About

Rachel Bawden is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, Rachel Bawden has authored 10 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Language and Linguistics and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Rachel Bawden’s work include Natural Language Processing Techniques (7 papers), Topic Modeling (5 papers) and Discourse Analysis and Argumentation Studies (2 papers). Rachel Bawden is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (5 papers) and Discourse Analysis and Argumentation Studies (2 papers). Rachel Bawden collaborates with scholars based in France, United Kingdom and Switzerland. Rachel Bawden's co-authors include Barry Haddow, Roman Grundkiewicz, Mariya Shmatova, Makoto Morishita, Philipp Koehn, Michal Novák, Mark Fishel, Christof Monz, Antonio Valerio Miceli Barone and Rebecca Knowles and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and Data Archiving and Networked Services (DANS).

In The Last Decade

Co-authorship network of co-authors of Rachel Bawden i

Fields of papers citing papers by Rachel Bawden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rachel Bawden

Since Specialization
Citations

This map shows the geographic impact of Rachel Bawden'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 Rachel Bawden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Bawden 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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2025