Beverley J Brown

21 total papers · 498 total citations
9 papers, 190 citations indexed

About

Beverley J Brown is a scholar working on Clinical Psychology, General Health Professions and Cognitive Neuroscience. According to data from OpenAlex, Beverley J Brown has authored 9 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Clinical Psychology, 3 papers in General Health Professions and 3 papers in Cognitive Neuroscience. Recurrent topics in Beverley J Brown's work include Obsessive-Compulsive Spectrum Disorders (3 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers) and Digital Mental Health Interventions (2 papers). Beverley J Brown is often cited by papers focused on Obsessive-Compulsive Spectrum Disorders (3 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers) and Digital Mental Health Interventions (2 papers). Beverley J Brown collaborates with scholars based in United Kingdom and Sweden. Beverley J Brown's co-authors include Charlotte L Hall, Chris Hollis, Althea Valentine, Madeleine J. Groom, Emma Young, Sophie Hall, Kareem Khan, Per Andrén, Tara Murphy and David Mataix‐Cols and has published in prestigious journals such as Current Biology, Clinical Psychology Review and Journal of Medical Internet Research.

In The Last Decade

Beverley J Brown

8 papers receiving 187 citations

Author Peers

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

Author Last Decade Papers Cites
Beverley J Brown 91 62 46 27 27 9 190
Kate Gordon 112 1.2× 107 1.7× 32 0.7× 16 0.6× 17 0.6× 14 199
Brian C. Wolff 79 0.9× 177 2.9× 39 0.8× 45 1.7× 28 1.0× 7 269
Amy Hamilton 58 0.6× 190 3.1× 29 0.6× 14 0.5× 35 1.3× 10 274
Christine Peura 135 1.5× 102 1.6× 81 1.8× 8 0.3× 11 0.4× 10 200
Rianne Jansens 155 1.7× 54 0.9× 37 0.8× 18 0.7× 7 0.3× 8 280
Dena Gassner 208 2.3× 187 3.0× 77 1.7× 30 1.1× 23 0.9× 6 288
Kareem Khan 41 0.5× 63 1.0× 28 0.6× 32 1.2× 12 0.4× 16 173
Lauren Harris 193 2.1× 122 2.0× 86 1.9× 23 0.9× 31 1.1× 12 277
Gemma Español‐Martín 78 0.9× 138 2.2× 42 0.9× 11 0.4× 14 0.5× 13 234
Julianne M. Higgins 187 2.1× 139 2.2× 41 0.9× 32 1.2× 9 0.3× 8 240

Countries citing papers authored by Beverley J Brown

Since Specialization
Citations

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

Fields of papers citing papers by Beverley J Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beverley J Brown

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