William E. Tunmer

10.8k total citations · 1 hit paper
79 papers, 6.9k citations indexed

About

William E. Tunmer is a scholar working on Developmental and Educational Psychology, Education and Statistics and Probability. According to data from OpenAlex, William E. Tunmer has authored 79 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Developmental and Educational Psychology, 37 papers in Education and 24 papers in Statistics and Probability. Recurrent topics in William E. Tunmer's work include Reading and Literacy Development (55 papers), Cognitive and developmental aspects of mathematical skills (24 papers) and Language Development and Disorders (14 papers). William E. Tunmer is often cited by papers focused on Reading and Literacy Development (55 papers), Cognitive and developmental aspects of mathematical skills (24 papers) and Language Development and Disorders (14 papers). William E. Tunmer collaborates with scholars based in New Zealand, Australia and United States. William E. Tunmer's co-authors include Philip B. Gough, James W. Chapman, Andrew R. Nesdale, Michael Herriman, Wesley A. Hoover, Frank R. Vellutino, James Jaccard, Rusan Chen, Jane E. Prochnow and Keith T. Greaney and has published in prestigious journals such as Child Development, Journal of Educational Psychology and Modern Language Journal.

In The Last Decade

William E. Tunmer

76 papers receiving 6.1k citations

Hit Papers

Decoding, Reading, and Reading Disability 1986 2026 1999 2012 1986 500 1000 1.5k 2.0k 2.5k

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. Tunmer New Zealand 30 6.1k 3.2k 1.9k 1.2k 586 79 6.9k
Barbara R. Foorman United States 45 6.7k 1.1× 3.9k 1.2× 2.3k 1.2× 1.6k 1.3× 394 0.7× 145 7.9k
Anne E. Cunningham United States 28 5.3k 0.9× 3.5k 1.1× 1.4k 0.8× 883 0.7× 383 0.7× 46 6.2k
Peter F. de Jong Netherlands 44 5.4k 0.9× 3.2k 1.0× 2.1k 1.1× 1.8k 1.5× 662 1.1× 133 6.9k
David L. Share Israel 40 7.4k 1.2× 3.7k 1.1× 2.3k 1.3× 2.1k 1.7× 451 0.8× 97 8.0k
Hollis S. Scarborough United States 31 5.5k 0.9× 2.2k 0.7× 1.2k 0.6× 2.1k 1.7× 661 1.1× 46 6.4k
Kate Cain United Kingdom 45 7.2k 1.2× 2.9k 0.9× 1.9k 1.0× 2.4k 1.9× 769 1.3× 125 8.5k
Rauno Parrila Canada 44 5.4k 0.9× 3.1k 1.0× 2.0k 1.1× 1.7k 1.4× 323 0.6× 148 6.4k
Yaacov Petscher United States 41 4.0k 0.7× 2.8k 0.9× 1.2k 0.6× 674 0.5× 477 0.8× 184 5.3k
Hugh W. Catts United States 50 9.1k 1.5× 3.3k 1.0× 2.2k 1.2× 2.5k 2.0× 488 0.8× 80 9.9k
Mikko Aro Finland 33 4.0k 0.7× 2.5k 0.8× 1.5k 0.8× 1.2k 1.0× 419 0.7× 102 4.9k

Countries citing papers authored by William E. Tunmer

Since Specialization
Citations

This map shows the geographic impact of William E. Tunmer'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. Tunmer 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. Tunmer more than expected).

Fields of papers citing papers by William E. Tunmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Tunmer. A scholar is included among the top collaborators of William E. Tunmer 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. Tunmer. William E. Tunmer 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
2.
Hoover, Wesley A. & William E. Tunmer. (2020). The Cognitive Foundations of Reading and Its Acquisition. 28 indexed citations
3.
Chapman, James W. & William E. Tunmer. (2018). Reading Recovery's unrecovered learners: Characteristics and issues. Review of Education. 7(2). 237–265. 7 indexed citations
4.
Prochnow, Jane E., William E. Tunmer, & James W. Chapman. (2013). A Longitudinal Investigation of the Influence of Literacy-related Skills, Reading Self-perceptions, and Inattentive Behaviours on the Development of Literacy Learning Difficulties. International Journal of Disability Development and Education. 60(3). 185–207. 12 indexed citations
5.
Tunmer, William E., Tom Nicholson, Keith T. Greaney, et al.. (2008). PIRLS before Swine: A Critique of New Zealand's National Literacy Strategy. New Zealand Journal of Educational Studies. 43(2). 105. 11 indexed citations
6.
Chapman, James W., Keith T. Greaney, & William E. Tunmer. (2007). How Well Is Reading Recovery Really Working in New Zealand. New Zealand Journal of Educational Studies. 42. 17. 8 indexed citations
8.
Tunmer, William E., James W. Chapman, & Jane E. Prochnow. (2004). Why the Reading Achievement Gap in New Zealand Won't Go Away: Evidence from the PIRLS 2001 International Study of Reading Achievement.. New Zealand Journal of Educational Studies. 22 indexed citations
10.
Tunmer, William E., Jane E. Prochnow, & James W. Chapman. (1999). Science Can Inform Educational Practice: The Case of Literacy. The New Zealand Annual Review of Education. 9. 3 indexed citations
11.
Chapman, James W. & William E. Tunmer. (1997). A longitudinal study of beginning reading achievement and reading self‐concept. British Journal of Educational Psychology. 67(3). 279–291. 204 indexed citations
12.
Greaney, Keith T., William E. Tunmer, & James W. Chapman. (1997). Effects of rime-based orthographic analogy training on the word recognition skills of children with reading disability.. Journal of Educational Psychology. 89(4). 645–651. 46 indexed citations
13.
Chapman, James W. & William E. Tunmer. (1995). Development of young children's reading self-concepts: An examination of emerging subcomponents and their relationship with reading achievement.. Journal of Educational Psychology. 87(1). 154–167. 25 indexed citations
14.
Tunmer, William E.. (1990). The role of language prediction skills in beginning reading.. New Zealand Journal of Educational Studies. 34 indexed citations
15.
Gough, Philip B. & William E. Tunmer. (1986). Decoding, Reading, and Reading Disability. Remedial and Special Education. 7(1). 6–10. 2541 indexed citations breakdown →
16.
Tunmer, William E.. (1985). The Acquisition of the Sentient-Nonsentient Distinction and Its Relationship to Causal Reasoning and Social Cognition. Child Development. 56(4). 989–989. 3 indexed citations
17.
Tunmer, William E. & Andrew R. Nesdale. (1985). Phonemic segmentation skill and beginning reading.. Journal of Educational Psychology. 77(4). 417–427. 11 indexed citations
18.
Tunmer, William E., Judith A. Bowey, & Robert Grieve. (1983). The development of young children's awareness of the word as a unit of spoken language. Journal of Psycholinguistic Research. 12(6). 567–594. 31 indexed citations
19.
Tunmer, William E. & Andrew R. Nesdale. (1982). The effects of digraphs and pseudowords on phonemic segmentation in young children. Applied Psycholinguistics. 3(4). 299–311. 42 indexed citations
20.
Tunmer, William E., et al.. (1981). The Relationship between Conceptual Tempo, Phonological Awareness, and Word Recognition in Beginning Readers. Journal of Reading Behavior. 13(2). 173–185. 17 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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