Francis Nolan

62 papers and 1.2k indexed citations i.

About

Francis Nolan is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Linguistics and Language. According to data from OpenAlex, Francis Nolan has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Experimental and Cognitive Psychology, 35 papers in Artificial Intelligence and 26 papers in Linguistics and Language. Recurrent topics in Francis Nolan’s work include Phonetics and Phonology Research (45 papers), Speech Recognition and Synthesis (31 papers) and Linguistic Variation and Morphology (26 papers). Francis Nolan is often cited by papers focused on Phonetics and Phonology Research (45 papers), Speech Recognition and Synthesis (31 papers) and Linguistic Variation and Morphology (26 papers). Francis Nolan collaborates with scholars based in United Kingdom, Estonia and Switzerland. Francis Nolan's co-authors include Esther Grabe, Eva Liina Asu, Paul Warren, Kirsty McDougall, Brechtje Post, Tomasina M. Oh, Cătălin Grigoraş, R. A. W. Bladon, Toby Hudson and Rachael‐Anne Knight and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, The Journal of the Acoustical Society of America and Journal of Molecular Spectroscopy.

In The Last Decade

Co-authorship network of co-authors of Francis Nolan i

Fields of papers citing papers by Francis Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francis Nolan

Since Specialization
Citations

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