Jennifer P. Cheatham

447 total citations
9 papers, 295 citations indexed

About

Jennifer P. Cheatham is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Education. According to data from OpenAlex, Jennifer P. Cheatham has authored 9 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Developmental and Educational Psychology, 5 papers in Statistics and Probability and 4 papers in Education. Recurrent topics in Jennifer P. Cheatham's work include Reading and Literacy Development (9 papers), Cognitive and developmental aspects of mathematical skills (5 papers) and Child Development and Digital Technology (3 papers). Jennifer P. Cheatham is often cited by papers focused on Reading and Literacy Development (9 papers), Cognitive and developmental aspects of mathematical skills (5 papers) and Child Development and Digital Technology (3 papers). Jennifer P. Cheatham collaborates with scholars based in United States. Jennifer P. Cheatham's co-authors include Jill H. Allor, Patricia G. Mathes, J. Kyle Roberts, Stephanie Al Otaiba, Endia J. Lindo and Paul Yovanoff and has published in prestigious journals such as Exceptional Children, Psychology in the Schools and Reading and Writing.

In The Last Decade

Jennifer P. Cheatham

9 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer P. Cheatham United States 8 247 102 89 64 47 9 295
Tilly Mortimore United Kingdom 7 154 0.6× 124 1.2× 97 1.1× 43 0.7× 38 0.8× 13 274
Youjia Hua United States 10 191 0.8× 69 0.7× 93 1.0× 56 0.9× 79 1.7× 26 272
Erica R. Kaldenberg United States 9 156 0.6× 176 1.7× 85 1.0× 43 0.7× 34 0.7× 18 291
Catherine Martinet Switzerland 7 184 0.7× 97 1.0× 26 0.3× 48 0.8× 41 0.9× 26 223
Kimberly A. Davidson United States 9 218 0.9× 110 1.1× 90 1.0× 108 1.7× 110 2.3× 12 341
Kimber L. Wilkerson United States 9 147 0.6× 150 1.5× 74 0.8× 32 0.5× 37 0.8× 23 255
Jordan Shurr United States 13 202 0.8× 170 1.7× 103 1.2× 164 2.6× 128 2.7× 27 385
Shawn M. Datchuk United States 11 247 1.0× 217 2.1× 67 0.8× 29 0.5× 60 1.3× 28 309
Gaye McNutt United States 9 208 0.8× 158 1.5× 83 0.9× 73 1.1× 42 0.9× 15 360
Janet M. Sturm United States 10 196 0.8× 136 1.3× 34 0.4× 13 0.2× 50 1.1× 20 310

Countries citing papers authored by Jennifer P. Cheatham

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer P. Cheatham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer P. Cheatham. 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 Jennifer P. Cheatham. The network helps show where Jennifer P. Cheatham may publish in the future.

Co-authorship network of co-authors of Jennifer P. Cheatham

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer P. Cheatham. A scholar is included among the top collaborators of Jennifer P. Cheatham 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 Jennifer P. Cheatham. Jennifer P. Cheatham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Allor, Jill H., et al.. (2018). The Effects of a Text-Centered Literacy Curriculum for Students With Intellectual Disability. American Journal on Intellectual and Developmental Disabilities. 123(5). 474–494. 13 indexed citations
2.
Lindo, Endia J., et al.. (2017). Benefits of Structured After-School Literacy Tutoring by University Students for Struggling Elementary Readers. Reading & Writing Quarterly. 34(2). 117–131. 15 indexed citations
3.
Allor, Jill H., Patricia G. Mathes, J. Kyle Roberts, Jennifer P. Cheatham, & Stephanie Al Otaiba. (2014). Is Scientifically Based Reading Instruction Effective for Students With Below-Average IQs?. Exceptional Children. 80(3). 287–306. 81 indexed citations
4.
Allor, Jill H., et al.. (2013). Teaching Students With Intellectual Disability to Integrate Reading Skills. Remedial and Special Education. 34(6). 346–356. 26 indexed citations
5.
Cheatham, Jennifer P., Jill H. Allor, & J. Kyle Roberts. (2013). How Does Independent Practice of Multiple-Criteria Text Influence the Reading Performance and Development of Second Graders?. Learning Disability Quarterly. 37(1). 3–14. 6 indexed citations
6.
Cheatham, Jennifer P. & Jill H. Allor. (2012). The influence of decodability in early reading text on reading achievement: a review of the evidence. Reading and Writing. 25(9). 2223–2246. 27 indexed citations
7.
Allor, Jill H., et al.. (2010). Comprehensive reading instruction for students with intellectual disabilities: Findings from the first three years of a longitudinal study. Psychology in the Schools. 47(5). 445–466. 85 indexed citations
8.
Allor, Jill H., et al.. (2010). Individualized Research-Based Reading Instruction for Students with Intellectual Disabilities: Success Stories. Teaching Exceptional Children. 42(3). 6–12. 14 indexed citations
9.
Allor, Jill H., et al.. (2009). Research-Based Techniques for Teaching Early Reading Skills to Students with Intellectual Disabilities. Education and training in developmental disabilities. 44(3). 356–366. 28 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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