William E. Nagy

13.3k total citations · 6 hit papers
87 papers, 8.8k citations indexed

About

William E. Nagy is a scholar working on Developmental and Educational Psychology, Education and Language and Linguistics. According to data from OpenAlex, William E. Nagy has authored 87 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Developmental and Educational Psychology, 22 papers in Education and 17 papers in Language and Linguistics. Recurrent topics in William E. Nagy's work include Reading and Literacy Development (43 papers), Second Language Acquisition and Learning (28 papers) and Writing and Handwriting Education (18 papers). William E. Nagy is often cited by papers focused on Reading and Literacy Development (43 papers), Second Language Acquisition and Learning (28 papers) and Writing and Handwriting Education (18 papers). William E. Nagy collaborates with scholars based in United States, France and Canada. William E. Nagy's co-authors include Richard C. Anderson, Patricia A. Herman, Virginia W. Berninger, Robert D. Abbott, Barbara Hancin-Bhatt, Dianna Townsend, Aydin Y. Durgunoğlu, Andrea Tyler, Scott Beers and Joanne F. Carlisle and has published in prestigious journals such as Neurology, Journal of Educational Psychology and Cognition.

In The Last Decade

William E. Nagy

83 papers receiving 7.4k citations

Hit Papers

How Many Words Are There in Printed School English? 1984 2026 1998 2012 1984 1985 2006 1993 2012 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William E. Nagy United States 40 7.8k 3.1k 2.1k 1.8k 1.4k 87 8.8k
Isabel L. Beck United States 38 5.5k 0.7× 3.2k 1.0× 929 0.5× 1.1k 0.6× 552 0.4× 87 6.7k
Jane Oakhill United Kingdom 51 7.4k 1.0× 2.7k 0.9× 921 0.4× 1.8k 1.0× 2.8k 2.0× 161 9.9k
Margaret G. McKeown United States 35 5.1k 0.7× 2.7k 0.9× 1.1k 0.5× 769 0.4× 492 0.3× 78 6.2k
Linnea C. Ehri United States 44 9.1k 1.2× 5.4k 1.7× 706 0.3× 2.4k 1.3× 1.7k 1.2× 131 9.9k
Virginia W. Berninger United States 65 11.0k 1.4× 9.1k 3.0× 2.0k 1.0× 2.7k 1.5× 2.5k 1.8× 228 13.6k
Steven A. Stahl United States 34 4.8k 0.6× 2.8k 0.9× 732 0.4× 950 0.5× 609 0.4× 88 5.6k
S. Jay Samuels United States 27 5.0k 0.6× 2.4k 0.8× 589 0.3× 1.3k 0.7× 1.4k 1.0× 92 6.5k
Kate Cain United Kingdom 45 7.2k 0.9× 2.9k 0.9× 555 0.3× 1.9k 1.1× 2.4k 1.7× 125 8.5k
Rebecca Treiman United States 61 10.4k 1.3× 4.7k 1.5× 1.1k 0.6× 1.9k 1.1× 4.1k 2.9× 225 12.8k
Philip B. Gough United States 16 5.5k 0.7× 2.5k 0.8× 443 0.2× 1.6k 0.9× 1.5k 1.1× 27 6.2k

Countries citing papers authored by William E. Nagy

Since Specialization
Citations

This map shows the geographic impact of William E. Nagy'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 William E. Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Nagy more than expected).

Fields of papers citing papers by William E. Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Nagy. 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 William E. Nagy. The network helps show where William E. Nagy may publish in the future.

Co-authorship network of co-authors of William E. Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Nagy. A scholar is included among the top collaborators of William E. Nagy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William E. Nagy. William E. Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Crosson, Amy C., Michael J. Kieffer, Margaret G. McKeown, & William E. Nagy. (2024). Cross-Language Morphological Analysis Improves Academic Word Learning for Multilingual Adolescents. Scientific Studies of Reading. 29(1). 55–84. 1 indexed citations
2.
Thompson, Robert, Steve Tanimoto, K. Kawena Begay, et al.. (2017). Effective instruction for persisting dyslexia in upper grades: Adding hope stories and computer coding to explicit literacy instruction. Education and Information Technologies. 23(3). 1043–1068. 8 indexed citations
4.
Richards, Todd L., William E. Nagy, Robert D. Abbott, & Virginia W. Berninger. (2016). Brain Connectivity Associated with Cascading Levels of Language. PubMed. 2(4). 9 indexed citations
5.
Richards, Todd L., Stephen T. Peverly, Robert D. Abbott, et al.. (2016). Idea units in notes and summaries for read texts by keyboard and pencil in middle childhood students with specific learning disabilities: Cognitive and brain findings. Trends in Neuroscience and Education. 5(3). 146–155. 10 indexed citations
6.
Richards, Todd L., Thomas J. Grabowski, Peter Boord, et al.. (2015). Contrasting brain patterns of writing-related DTI parameters, fMRI connectivity, and DTI–fMRI connectivity correlations in children with and without dysgraphia or dyslexia. NeuroImage Clinical. 8. 408–421. 69 indexed citations
7.
Berninger, Virginia W., et al.. (2014). Computer instruction in handwriting, spelling, and composing for students with specific learning disabilities in grades 4–9. Computers & Education. 81. 154–168. 72 indexed citations
8.
Nagy, William E., Joanne F. Carlisle, & Amanda P. Goodwin. (2013). Morphological Knowledge and Literacy Acquisition. Journal of Learning Disabilities. 47(1). 3–12. 213 indexed citations
9.
Berninger, Virginia W., William E. Nagy, & Scott Beers. (2010). Child writers’ construction and reconstruction of single sentences and construction of multi-sentence texts: contributions of syntax and transcription to translation. Reading and Writing. 24(2). 151–182. 73 indexed citations
10.
Berninger, Virginia W., Robert D. Abbott, William E. Nagy, & Joanne F. Carlisle. (2009). Growth in Phonological, Orthographic, and Morphological Awareness in Grades 1 to 6. Journal of Psycholinguistic Research. 39(2). 141–163. 269 indexed citations
11.
Richards, Todd L., Elizabeth Aylward, Katherine Field, et al.. (2006). Converging Evidence for Triple Word Form Theory in Children With Dyslexia. Developmental Neuropsychology. 30(1). 547–589. 74 indexed citations
12.
Aylward, Elizabeth, Todd L. Richards, Virginia W. Berninger, et al.. (2003). Instructional treatment associated with changes in brain activation in children with dyslexia. Neurology. 61(2). 212–219. 173 indexed citations
13.
Nagy, William E.. (1995). Linguistic Transfer and the Use of Context by Spanish-English Bilinguals. Technical Report No. 616.. Spinal Cord Series and Cases. 3. 17025–17025. 1 indexed citations
14.
Anderson, Richard C. & William E. Nagy. (1992). The Vocabulary Conundrum.. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 16(4). 72 indexed citations
15.
Tyler, Andrea & William E. Nagy. (1990). Use of derivational morphology during reading. Cognition. 36(1). 17–34. 110 indexed citations
16.
Nagy, William E.. (1989). Morphological Families and Word Recognition.. Reading Research Quarterly. 24(3). 29 indexed citations
17.
Nagy, William E.. (1988). Vocabulary Instruction and Reading Comprehension. Technical Report No. 431.. 4 indexed citations
18.
Nagy, William E. & Patricia A. Herman. (1985). Incidental vs. Instructional Approaches to Increasing Reading Vocabulary.. 23(1). 16–21. 42 indexed citations
19.
Hall, William S. & William E. Nagy. (1981). Cultural Differences in Communication.. 13(1). 16–22. 4 indexed citations
20.
Nagy, William E.. (1974). FIGURATIVE PATTERNS AND REDUNDANCY IN THE LEXICON. University Microfilms eBooks. 35(6). 9 indexed citations

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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