Nancy J. Dalrymple

38 total papers · 1.5k total citations
15 papers, 954 citations indexed

About

Nancy J. Dalrymple is a scholar working on Cognitive Neuroscience, Clinical Psychology and Psychiatry and Mental health. According to data from OpenAlex, Nancy J. Dalrymple has authored 15 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 9 papers in Clinical Psychology and 4 papers in Psychiatry and Mental health. Recurrent topics in Nancy J. Dalrymple's work include Autism Spectrum Disorder Research (11 papers), Family and Disability Support Research (9 papers) and Behavioral and Psychological Studies (4 papers). Nancy J. Dalrymple is often cited by papers focused on Autism Spectrum Disorder Research (11 papers), Family and Disability Support Research (9 papers) and Behavioral and Psychological Studies (4 papers). Nancy J. Dalrymple collaborates with scholars based in United States and Qatar. Nancy J. Dalrymple's co-authors include Lisa A. Ruble, Lisa A. Ruble, John H. McGrew, P. Wesley Schultz, Lynnette Zelezny, P. Gail Williams, Lee Ann Jung, Michael D. Toland, Claire Snell‐Rood and Misha Angrist and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, Journal of Autism and Developmental Disorders and Environment and Behavior.

In The Last Decade

Nancy J. Dalrymple

15 papers receiving 868 citations

Author Peers

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

Author Last Decade Papers Cites
Nancy J. Dalrymple 528 496 292 187 182 15 954
Simon M. Bury 556 1.1× 407 0.8× 148 0.5× 126 0.7× 130 0.7× 40 856
Helen Costello 314 0.6× 489 1.0× 236 0.8× 65 0.3× 83 0.5× 26 1.1k
Cara Wong 306 0.6× 142 0.3× 50 0.2× 115 0.6× 141 0.8× 25 1.1k
Tommy MacKay 187 0.4× 333 0.7× 63 0.2× 313 1.7× 224 1.2× 36 890
Laura Michaelson 134 0.3× 338 0.7× 73 0.3× 233 1.2× 180 1.0× 22 1.2k
Kelly Sutton 315 0.6× 311 0.6× 176 0.6× 169 0.9× 64 0.4× 17 872
Paul Condon 299 0.6× 636 1.3× 77 0.3× 28 0.1× 149 0.8× 17 1.2k
Stuart Valins 282 0.5× 298 0.6× 66 0.2× 128 0.7× 393 2.2× 15 1.2k
Aaron T. Ebata 132 0.3× 832 1.7× 96 0.3× 46 0.2× 255 1.4× 28 1.2k
Rimma Teper 372 0.7× 541 1.1× 51 0.2× 22 0.1× 225 1.2× 12 1.1k

Countries citing papers authored by Nancy J. Dalrymple

Since Specialization
Citations

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

Fields of papers citing papers by Nancy J. Dalrymple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy J. Dalrymple. 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 Nancy J. Dalrymple. The network helps show where Nancy J. Dalrymple may publish in the future.

Co-authorship network of co-authors of Nancy J. Dalrymple

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy J. Dalrymple. A scholar is included among the top collaborators of Nancy J. Dalrymple 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 Nancy J. Dalrymple. Nancy J. Dalrymple 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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