Young-Key Kim-Renaud

About

Young-Key Kim-Renaud is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Language and Linguistics. According to data from OpenAlex, Young-Key Kim-Renaud has authored 11 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Experimental and Cognitive Psychology and 2 papers in Language and Linguistics. Recurrent topics in Young-Key Kim-Renaud’s work include Natural Language Processing Techniques (3 papers), Phonetics and Phonology Research (2 papers) and Speech Recognition and Synthesis (2 papers). Young-Key Kim-Renaud is often cited by papers focused on Natural Language Processing Techniques (3 papers), Phonetics and Phonology Research (2 papers) and Speech Recognition and Synthesis (2 papers). Young-Key Kim-Renaud collaborates with scholars based in United States. Young-Key Kim-Renaud's co-authors include Virginia LoCastro and Linda Lombardi and has published in prestigious journals such as Language, Modern Language Journal and International Journal of Educational Development.

In The Last Decade

Co-authorship network of co-authors of Young-Key Kim-Renaud i

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Fields of papers citing papers by Young-Key Kim-Renaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Key Kim-Renaud. 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 Young-Key Kim-Renaud. The network helps show where Young-Key Kim-Renaud may publish in the future.

Countries citing papers authored by Young-Key Kim-Renaud

Since Specialization

Citations

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