Nicky Ringland

496 total citations
4 papers, 282 citations indexed

About

Nicky Ringland is a scholar working on Communication, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nicky Ringland has authored 4 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Communication, 3 papers in Artificial Intelligence and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Nicky Ringland's work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Wikis in Education and Collaboration (3 papers). Nicky Ringland is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Wikis in Education and Collaboration (3 papers). Nicky Ringland collaborates with scholars based in Australia. Nicky Ringland's co-authors include James Curran, Tara Murphy, Joel Nothman and Will Radford and has published in prestigious journals such as Artificial Intelligence.

In The Last Decade

Nicky Ringland

4 papers receiving 254 citations

Peers

Nicky Ringland
Will Radford Australia
Maud Ehrmann Switzerland
Anjie Fang United States
Kevin Angele Austria
Nobal B. Niraula United States
Will Radford Australia
Nicky Ringland
Citations per year, relative to Nicky Ringland Nicky Ringland (= 1×) peers Will Radford

Countries citing papers authored by Nicky Ringland

Since Specialization
Citations

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

Fields of papers citing papers by Nicky Ringland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicky Ringland

This figure shows the co-authorship network connecting the top 25 collaborators of Nicky Ringland. A scholar is included among the top collaborators of Nicky Ringland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicky Ringland. Nicky Ringland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Ringland, Nicky, et al.. (2018). We have a national STEM strategy, but what we need is a successful one. 1 indexed citations
2.
Nothman, Joel, Nicky Ringland, Will Radford, Tara Murphy, & James Curran. (2012). Learning multilingual named entity recognition from Wikipedia. Artificial Intelligence. 194. 151–175. 207 indexed citations
3.
Ringland, Nicky, Joel Nothman, Tara Murphy, & James Curran. (2009). Classifying articles in English and German Wikipedia. 20–28. 7 indexed citations
4.
Ringland, Nicky, et al.. (2009). Named entity recognition in Wikipedia. 10–18. 67 indexed citations

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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