Jane Stafford

90 total papers · 1.5k total citations
22 papers, 1.0k citations indexed

About

Jane Stafford is a scholar working on Clinical Psychology, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Jane Stafford has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Clinical Psychology, 5 papers in Social Psychology and 5 papers in Sociology and Political Science. Recurrent topics in Jane Stafford's work include Posttraumatic Stress Disorder Research (4 papers), Sexual Assault and Victimization Studies (3 papers) and Australian History and Society (3 papers). Jane Stafford is often cited by papers focused on Posttraumatic Stress Disorder Research (4 papers), Sexual Assault and Victimization Studies (3 papers) and Australian History and Society (3 papers). Jane Stafford collaborates with scholars based in United States, New Zealand and Canada. Jane Stafford's co-authors include Amy E. Street, Candice M. Monson, Casey T. Taft, Laura E. Watkins, Jaimie L. Gradus, Jillian C. Shipherd, Nader Amir, Edna B. Foa, Steven Jay Lynn and Catherine Loh and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, Addictive Behaviors and Journal of Traumatic Stress.

In The Last Decade

Jane Stafford

17 papers receiving 949 citations

Hit Papers

Posttraumatic stress diso... 2011 2026 2016 2021 2011 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jane Stafford 688 271 228 224 209 22 1.0k
Mark Relyea 435 0.6× 282 1.0× 147 0.6× 267 1.2× 194 0.9× 28 863
Louise Silvern 749 1.1× 181 0.7× 200 0.9× 295 1.3× 246 1.2× 32 1.1k
Robyn L. Gobin 647 0.9× 149 0.5× 175 0.8× 223 1.0× 227 1.1× 46 931
Christina A. Byrne 774 1.1× 231 0.9× 247 1.1× 413 1.8× 314 1.5× 25 1.2k
Frances K. Grossman 737 1.1× 166 0.6× 226 1.0× 186 0.8× 289 1.4× 25 1.1k
William F. Flack 272 0.4× 394 1.5× 195 0.9× 207 0.9× 286 1.4× 26 881
Jeffrey A. Bernat 463 0.7× 439 1.6× 105 0.5× 271 1.2× 252 1.2× 13 866
Joyce L. Carbonell 605 0.9× 88 0.3× 171 0.8× 88 0.4× 350 1.7× 34 899
Samantha L. Anders 585 0.9× 94 0.3× 203 0.9× 98 0.4× 125 0.6× 19 872
Danielle S. Berke 554 0.8× 311 1.1× 347 1.5× 185 0.8× 265 1.3× 47 1.0k

Countries citing papers authored by Jane Stafford

Since Specialization
Citations

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

Fields of papers citing papers by Jane Stafford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Stafford

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