Danielle S. McNamara

333 papers and 12.7k indexed citations i.

About

Danielle S. McNamara is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Education. According to data from OpenAlex, Danielle S. McNamara has authored 333 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 195 papers in Artificial Intelligence, 192 papers in Developmental and Educational Psychology and 70 papers in Education. Recurrent topics in Danielle S. McNamara’s work include Text Readability and Simplification (98 papers), Reading and Literacy Development (86 papers) and Innovative Teaching and Learning Methods (75 papers). Danielle S. McNamara is often cited by papers focused on Text Readability and Simplification (98 papers), Reading and Literacy Development (86 papers) and Innovative Teaching and Learning Methods (75 papers). Danielle S. McNamara collaborates with scholars based in United States, Romania and Germany. Danielle S. McNamara's co-authors include Scott A. Crossley, Walter Kintsch, Arthur C. Graesser, Max M. Louwerse, Philip M. McCarthy, Yasuhiro Ozuru, Tenaha O’Reilly, Thomas K. Landauer, Simon Dennis and Zhiqiang Cai and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain Research.

In The Last Decade

Co-authorship network of co-authors of Danielle S. McNamara i

Fields of papers citing papers by Danielle S. McNamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle S. McNamara. 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 Danielle S. McNamara. The network helps show where Danielle S. McNamara may publish in the future.

Countries citing papers authored by Danielle S. McNamara

Since Specialization
Citations

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