Yetta M. Goodman

114 total papers · 2.2k total citations
68 papers, 1.3k citations indexed

About

Yetta M. Goodman is a scholar working on Education, Literature and Literary Theory and Language and Linguistics. According to data from OpenAlex, Yetta M. Goodman has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Education, 12 papers in Literature and Literary Theory and 12 papers in Language and Linguistics. Recurrent topics in Yetta M. Goodman's work include Reading and Literacy Development (12 papers), EFL/ESL Teaching and Learning (11 papers) and Education Systems and Policy (6 papers). Yetta M. Goodman is often cited by papers focused on Reading and Literacy Development (12 papers), EFL/ESL Teaching and Learning (11 papers) and Education Systems and Policy (6 papers). Yetta M. Goodman collaborates with scholars based in United States and South Korea. Yetta M. Goodman's co-authors include Kenneth S. Goodman, Carolyn L. Burke, Dorothy J. Watson, Kenneth W. Goodman, Prisca Martens, Bess Altwerger, James V. Hoffman, Sandra Wilde, Iliana Reyes and Catherine Wallace and has published in prestigious journals such as Sociology of Education, Harvard Educational Review and The Elementary School Journal.

In The Last Decade

Yetta M. Goodman

59 papers receiving 841 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yetta M. Goodman 756 680 276 244 205 68 1.3k
Jo Worthy 612 0.8× 736 1.1× 273 1.0× 120 0.5× 160 0.8× 42 1.1k
Michael L. Kamil 963 1.3× 707 1.0× 230 0.8× 249 1.0× 145 0.7× 42 1.4k
SK Tse 557 0.7× 582 0.9× 173 0.6× 245 1.0× 186 0.9× 106 1.2k
Guillermo Solano‐Flores 391 0.5× 745 1.1× 178 0.6× 213 0.9× 213 1.0× 55 1.2k
Georgia Earnest García 965 1.3× 639 0.9× 338 1.2× 513 2.1× 437 2.1× 47 1.5k
Paola Uccelli 1.2k 1.6× 755 1.1× 518 1.9× 412 1.7× 296 1.4× 48 1.7k
Richard P. Durán 341 0.5× 538 0.8× 142 0.5× 235 1.0× 261 1.3× 45 1.1k
Liliana Tolchinsky 876 1.2× 766 1.1× 174 0.6× 195 0.8× 109 0.5× 78 1.2k
Rafael Lara‐Alecio 530 0.7× 701 1.0× 179 0.6× 177 0.7× 173 0.8× 82 1.1k
Sandra Stotsky 739 1.0× 1.1k 1.7× 624 2.3× 443 1.8× 141 0.7× 72 1.8k

Countries citing papers authored by Yetta M. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Yetta M. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yetta M. Goodman

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

All Works

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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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