Kevin Lund

5 papers and 1.4k indexed citations i.

About

Kevin Lund is a scholar working on Cultural Studies, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Kevin Lund has authored 5 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cultural Studies, 3 papers in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Kevin Lund’s work include Language and cultural evolution (4 papers), Topic Modeling (2 papers) and Natural Language Processing Techniques (2 papers). Kevin Lund is often cited by papers focused on Language and cultural evolution (4 papers), Topic Modeling (2 papers) and Natural Language Processing Techniques (2 papers). Kevin Lund collaborates with scholars based in United States. Kevin Lund's co-authors include Curt Burgess, Kay Livesay and Christine Chiarello and has published in prestigious journals such as Discourse Processes, Language and Cognitive Processes and PubMed.

In The Last Decade

Co-authorship network of co-authors of Kevin Lund i

Fields of papers citing papers by Kevin Lund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kevin Lund

Since Specialization
Citations

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