Philip M. McCarthy

51 papers and 1.6k indexed citations i.

About

Philip M. McCarthy is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Literature and Literary Theory. According to data from OpenAlex, Philip M. McCarthy has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 16 papers in Developmental and Educational Psychology and 11 papers in Literature and Literary Theory. Recurrent topics in Philip M. McCarthy’s work include Natural Language Processing Techniques (26 papers), Text Readability and Simplification (25 papers) and Topic Modeling (23 papers). Philip M. McCarthy is often cited by papers focused on Natural Language Processing Techniques (26 papers), Text Readability and Simplification (25 papers) and Topic Modeling (23 papers). Philip M. McCarthy collaborates with scholars based in United States, United Arab Emirates and Russia. Philip M. McCarthy's co-authors include Scott Jarvis, Danielle S. McNamara, Scott A. Crossley, Max M. Louwerse, Arthur C. Graesser, Nicholas D. Duran, Gwyneth A. Lewis, Vasile Rus, Charles Hall and Mihai Lintean and has published in prestigious journals such as Modern Language Journal, Behavior Research Methods and Applied Psycholinguistics.

In The Last Decade

Co-authorship network of co-authors of Philip M. McCarthy i

Fields of papers citing papers by Philip M. McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip M. McCarthy. 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 Philip M. McCarthy. The network helps show where Philip M. McCarthy may publish in the future.

Countries citing papers authored by Philip M. McCarthy

Since Specialization
Citations

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