Laura Rimell

18 papers and 246 indexed citations i.

About

Laura Rimell is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laura Rimell has authored 18 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 4 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Laura Rimell’s work include Topic Modeling (17 papers), Natural Language Processing Techniques (15 papers) and Text Readability and Simplification (5 papers). Laura Rimell is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (15 papers) and Text Readability and Simplification (5 papers). Laura Rimell collaborates with scholars based in United Kingdom, Australia and United States. Laura Rimell's co-authors include Stephen Clark, Timothy Baldwin, Ekaterina Vylomova, Trevor Cohn, Phil Blunsom, Douwe Kiela, Ivan Vulić, Joakim Nivre, Ryan McDonald and Carlos Gómez‐Rodríguez and has published in prestigious journals such as Journal of Biomedical Informatics, Computational Linguistics and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Laura Rimell i

Fields of papers citing papers by Laura Rimell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laura Rimell

Since Specialization
Citations

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