Yolanda N. Padrón

59 total papers · 1.5k total citations
45 papers, 884 citations indexed

About

Yolanda N. Padrón is a scholar working on Education, Language and Linguistics and Clinical Psychology. According to data from OpenAlex, Yolanda N. Padrón has authored 45 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Education, 7 papers in Language and Linguistics and 6 papers in Clinical Psychology. Recurrent topics in Yolanda N. Padrón's work include Teacher Education and Leadership Studies (9 papers), Parental Involvement in Education (8 papers) and Education Systems and Policy (7 papers). Yolanda N. Padrón is often cited by papers focused on Teacher Education and Leadership Studies (9 papers), Parental Involvement in Education (8 papers) and Education Systems and Policy (7 papers). Yolanda N. Padrón collaborates with scholars based in United States and South Sudan. Yolanda N. Padrón's co-authors include Hersholt C. Waxman, Kenji Hakuta, Shwu‐yong L. Huang, Juanita V. Copley, Zhihong Xu, Yuan‐Hsuan Lee, Sandra Acosta, Patricia Goodson, Stephanie L. Knight and Heather Honoré Goltz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Modern Language Journal and Educational Psychology Review.

In The Last Decade

Yolanda N. Padrón

42 papers receiving 671 citations

Author Peers

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

Author Last Decade Papers Cites
Yolanda N. Padrón 530 190 167 163 129 45 884
Tony Cline 450 0.8× 237 1.2× 280 1.7× 163 1.0× 109 0.8× 61 915
Elise Trumbull 677 1.3× 86 0.5× 161 1.0× 135 0.8× 84 0.7× 33 868
M. Lee Manning 533 1.0× 96 0.5× 132 0.8× 81 0.5× 65 0.5× 75 856
Shernaz B. García 694 1.3× 186 1.0× 187 1.1× 136 0.8× 69 0.5× 38 936
Deborah A Byrnes 442 0.8× 94 0.5× 60 0.4× 116 0.7× 85 0.7× 53 745
Deborah R. Dillon 578 1.1× 126 0.7× 238 1.4× 45 0.3× 57 0.4× 40 916
Curt Dudley‐Marling 594 1.1× 81 0.4× 264 1.6× 91 0.6× 65 0.5× 63 870
Richard A. Figueroa 266 0.5× 107 0.6× 322 1.9× 200 1.2× 143 1.1× 20 726
Gigliana Melzi 719 1.4× 195 1.0× 516 3.1× 153 0.9× 96 0.7× 54 1.0k
Lia E. Sandilos 709 1.3× 242 1.3× 489 2.9× 155 1.0× 56 0.4× 41 1.0k

Countries citing papers authored by Yolanda N. Padrón

Since Specialization
Citations

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

Fields of papers citing papers by Yolanda N. Padrón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yolanda N. Padrón. 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 Yolanda N. Padrón. The network helps show where Yolanda N. Padrón may publish in the future.

Co-authorship network of co-authors of Yolanda N. Padrón

This figure shows the co-authorship network connecting the top 25 collaborators of Yolanda N. Padrón. A scholar is included among the top collaborators of Yolanda N. Padrón 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 Yolanda N. Padrón. Yolanda N. Padrón 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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