Daniel T. Burley

18 total papers · 406 total citations
13 papers, 255 citations indexed

About

Daniel T. Burley is a scholar working on Clinical Psychology, Social Psychology and Pharmacy. According to data from OpenAlex, Daniel T. Burley has authored 13 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Clinical Psychology, 4 papers in Social Psychology and 2 papers in Pharmacy. Recurrent topics in Daniel T. Burley's work include Child and Adolescent Psychosocial and Emotional Development (5 papers), Personality Disorders and Psychopathology (3 papers) and Child Abuse and Trauma (3 papers). Daniel T. Burley is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (5 papers), Personality Disorders and Psychopathology (3 papers) and Child Abuse and Trauma (3 papers). Daniel T. Burley collaborates with scholars based in United Kingdom and Australia. Daniel T. Burley's co-authors include Nicola S. Gray, Robert J. Snowden, Katherine H. Shelton, Stephanie van Goozen, Jonathan T. Erichsen, Christopher Hobson, F.W. Williams, Stephan Collishaw, K. Langley and Stephanie H.M. van Goozen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Affective Disorders.

In The Last Decade

Daniel T. Burley

13 papers receiving 248 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel T. Burley 116 73 68 61 23 13 255
James Collett 121 1.0× 34 0.5× 47 0.7× 75 1.2× 22 1.0× 10 310
Douglas H. Powell 72 0.6× 60 0.8× 42 0.6× 50 0.8× 38 1.7× 16 294
Nathalie Peira 45 0.4× 151 2.1× 109 1.6× 53 0.9× 28 1.2× 15 326
Anthony F. Fazio 103 0.9× 31 0.4× 53 0.8× 74 1.2× 14 0.6× 11 236
Sophie A. Palitz 196 1.7× 27 0.4× 115 1.7× 52 0.9× 15 0.7× 13 277
Stephanie L. Simon-Dack 86 0.7× 130 1.8× 81 1.2× 97 1.6× 11 0.5× 28 280
Herdis L. Deabler 65 0.6× 70 1.0× 52 0.8× 55 0.9× 6 0.3× 19 296
David Pilon 70 0.6× 36 0.5× 34 0.5× 38 0.6× 19 0.8× 8 174
Saskia Fahrenkrug 111 1.0× 34 0.5× 38 0.6× 177 2.9× 27 1.2× 17 276
Eline J. Kraaijenvanger 101 0.9× 42 0.6× 48 0.7× 73 1.2× 18 0.8× 13 218

Countries citing papers authored by Daniel T. Burley

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Burley'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 Daniel T. Burley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Burley more than expected).

Fields of papers citing papers by Daniel T. Burley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Burley. 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 Daniel T. Burley. The network helps show where Daniel T. Burley may publish in the future.

Co-authorship network of co-authors of Daniel T. Burley

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Burley. A scholar is included among the top collaborators of Daniel T. Burley 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 Daniel T. Burley. Daniel T. Burley 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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