Kate Partridge

14 total papers · 464 total citations
4 papers, 310 citations indexed

About

Kate Partridge is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Clinical Psychology. According to data from OpenAlex, Kate Partridge has authored 4 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Experimental and Cognitive Psychology, 1 paper in Social Psychology and 1 paper in Clinical Psychology. Recurrent topics in Kate Partridge's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), COVID-19 and Mental Health (1 paper) and Action Observation and Synchronization (1 paper). Kate Partridge is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), COVID-19 and Mental Health (1 paper) and Action Observation and Synchronization (1 paper). Kate Partridge collaborates with scholars based in United Kingdom, Iceland and Canada. Kate Partridge's co-authors include David J. A. Dozois, Paul Frewen, Brynjar Halldorsson, Claire Hill, Polly Waite, Daniel Freeman, Cathy Creswell, Nele Demeyere, Hannah Hobson and Geoffrey Bird and has published in prestigious journals such as Journal of Child Psychology and Psychiatry, Cognitive Therapy and Research and Journal of Clinical and Experimental Neuropsychology.

In The Last Decade

Kate Partridge

4 papers receiving 297 citations

Author Peers

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

Author Last Decade Papers Cites
Kate Partridge 251 146 67 42 41 4 310
Maya C. Schumer 224 0.9× 80 0.5× 47 0.7× 62 1.5× 38 0.9× 7 296
Cassandra Hainsworth 288 1.1× 134 0.9× 61 0.9× 28 0.7× 27 0.7× 9 334
Kerstin Siewert 119 0.5× 113 0.8× 79 1.2× 31 0.7× 38 0.9× 5 317
Nicholas K. Canby 273 1.1× 96 0.7× 96 1.4× 34 0.8× 50 1.2× 11 318
J. Gibson Henderson 229 0.9× 193 1.3× 81 1.2× 67 1.6× 22 0.5× 9 353
Julie P. Dunne 196 0.8× 86 0.6× 52 0.8× 36 0.9× 22 0.5× 7 282
Jessica Bryant 169 0.7× 128 0.9× 82 1.2× 50 1.2× 25 0.6× 5 323
Susan L. Holm 202 0.8× 204 1.4× 62 0.9× 57 1.4× 24 0.6× 3 323
Catherine Rochefort 248 1.0× 116 0.8× 86 1.3× 25 0.6× 59 1.4× 7 344
Lynn L. Brandsma 271 1.1× 80 0.5× 43 0.6× 32 0.8× 68 1.7× 8 333

Countries citing papers authored by Kate Partridge

Since Specialization
Citations

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

Fields of papers citing papers by Kate Partridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate Partridge. 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 Kate Partridge. The network helps show where Kate Partridge may publish in the future.

Co-authorship network of co-authors of Kate Partridge

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