Tony Mullen

8 papers and 488 indexed citations i.

About

Tony Mullen is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, Tony Mullen has authored 8 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Language and Linguistics. Recurrent topics in Tony Mullen’s work include Topic Modeling (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). Tony Mullen is often cited by papers focused on Topic Modeling (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). Tony Mullen collaborates with scholars based in Japan, United States and The Netherlands. Tony Mullen's co-authors include Nigel Collier, Robert Malouf, Christine Appel, Yoko Mizuta, Anna Korhonen, Koichi Takeuchi and Ai Kawazoe and has published in prestigious journals such as Computers & Education, International Journal of Medical Informatics and Internet Research.

In The Last Decade

Co-authorship network of co-authors of Tony Mullen i

Fields of papers citing papers by Tony Mullen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tony Mullen

Since Specialization
Citations

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