Patricia A. Self

27 total papers · 665 total citations
19 papers, 476 citations indexed

About

Patricia A. Self is a scholar working on Clinical Psychology, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Patricia A. Self has authored 19 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Clinical Psychology, 4 papers in Developmental and Educational Psychology and 3 papers in Social Psychology. Recurrent topics in Patricia A. Self's work include Child and Animal Learning Development (4 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and Infant Health and Development (3 papers). Patricia A. Self is often cited by papers focused on Child and Animal Learning Development (4 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and Infant Health and Development (3 papers). Patricia A. Self collaborates with scholars based in United States. Patricia A. Self's co-authors include Frances Degen Horowitz, Kastoor Bhana, Nancy Datan, John Worobey, Mary Mccaffree, Margaret S. Ewing, Diane Montgomery, Adrienne E. Hyle and Debra K. DeMeis and has published in prestigious journals such as Child Development, Developmental Psychology and Journal of Adolescence.

In The Last Decade

Patricia A. Self

18 papers receiving 408 citations

Author Peers

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

Author						Papers	Cites
Patricia A. Self	170	163	109	104	102	19	476
Brigette Oliver Ryalls	198 1.2×	99 0.6×	114 1.0×	43 0.4×	105 1.0×	17	498
Freda Rebelsky	103 0.6×	48 0.3×	62 0.6×	101 1.0×	119 1.2×	23	527
Penelope H. Brooks	313 1.8×	146 0.9×	95 0.9×	42 0.4×	65 0.6×	21	515
Michael Kavšek	135 0.8×	192 1.2×	78 0.7×	80 0.8×	56 0.5×	33	455
Makeba Parramore Wilbourn	309 1.8×	153 0.9×	87 0.8×	53 0.5×	35 0.3×	19	483
Terryl T. Foch	145 0.9×	70 0.4×	218 2.0×	56 0.5×	159 1.6×	15	469
Gérard Malcuit	195 1.1×	83 0.5×	45 0.4×	110 1.1×	224 2.2×	44	545
Karen E. Adolph	274 1.6×	124 0.8×	20 0.2×	95 0.9×	49 0.5×	26	521
H. D. Day	83 0.5×	78 0.5×	60 0.6×	115 1.1×	140 1.4×	36	432
Seth Kunen	135 0.8×	180 1.1×	55 0.5×	94 0.9×	87 0.9×	33	459

Countries citing papers authored by Patricia A. Self

Since Specialization

Citations

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

Fields of papers citing papers by Patricia A. Self

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia A. Self. 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 Patricia A. Self. The network helps show where Patricia A. Self may publish in the future.

Co-authorship network of co-authors of Patricia A. Self

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia A. Self. A scholar is included among the top collaborators of Patricia A. Self 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 Patricia A. Self. Patricia A. Self 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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