Emma Barker

11 papers and 36 indexed citations i.

About

Emma Barker is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Emma Barker has authored 11 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Emma Barker’s work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Advanced Text Analysis Techniques (5 papers). Emma Barker is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Advanced Text Analysis Techniques (5 papers). Emma Barker collaborates with scholars based in United Kingdom. Emma Barker's co-authors include Monica Lestari Paramita, Ahmet Aker, Robert Gaizauskas, Mark Hepple, Tom Mercer, Adam Funk, Denis McKeown, Javier Artiles, François Mairesse and Ryuichiro Higashinaka and has published in prestigious journals such as Memory & Cognition, Language Resources and Evaluation and Journal of Cognitive Psychology.

In The Last Decade

Co-authorship network of co-authors of Emma Barker i

Fields of papers citing papers by Emma Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emma Barker

Since Specialization
Citations

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