Laura J. Long

47 total papers · 1.2k total citations
29 papers, 770 citations indexed

About

Laura J. Long is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Applied Psychology. According to data from OpenAlex, Laura J. Long has authored 29 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Clinical Psychology, 12 papers in Experimental and Cognitive Psychology and 12 papers in Applied Psychology. Recurrent topics in Laura J. Long's work include Optimism, Hope, and Well-being (10 papers), Resilience and Mental Health (8 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers). Laura J. Long is often cited by papers focused on Optimism, Hope, and Well-being (10 papers), Resilience and Mental Health (8 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers). Laura J. Long collaborates with scholars based in United States and Germany. Laura J. Long's co-authors include Matthew W. Gallagher, Angela L. Richardson, Lorra Garey, Michael J. Zvolensky, Johann M. D’Souza, Andrew H. Rogers, Lia J. Smith, David H. Barlow, Todd J. Farchione and Betty S. Lai and has published in prestigious journals such as Journal of Affective Disorders, Psychophysiology and Journal of Psychiatric Research.

In The Last Decade

Laura J. Long

27 papers receiving 758 citations

Author Peers

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

Author Last Decade Papers Cites
Laura J. Long 562 258 194 157 90 29 770
April Gusnowski 623 1.1× 229 0.9× 191 1.0× 132 0.8× 209 2.3× 25 839
Wesley Vuong 642 1.1× 256 1.0× 205 1.1× 137 0.9× 233 2.6× 35 904
Sonia McCallum 478 0.9× 93 0.4× 222 1.1× 120 0.8× 145 1.6× 29 715
Michael J. Gawrysiak 422 0.8× 146 0.6× 144 0.7× 232 1.5× 53 0.6× 28 721
Pål Ulvenes 557 1.0× 98 0.4× 192 1.0× 257 1.6× 100 1.1× 35 781
Matteo Malgaroli 475 0.8× 119 0.5× 159 0.8× 228 1.5× 108 1.2× 39 844
Hailey Meaklim 421 0.7× 81 0.3× 163 0.8× 265 1.7× 100 1.1× 27 742
Luca Iani 471 0.8× 102 0.4× 239 1.2× 174 1.1× 79 0.9× 35 824
Émilie Carretier 584 1.0× 85 0.3× 126 0.6× 88 0.6× 92 1.0× 19 795
Patricia Daza 387 0.7× 105 0.4× 185 1.0× 185 1.2× 161 1.8× 12 777

Countries citing papers authored by Laura J. Long

Since Specialization
Citations

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

Fields of papers citing papers by Laura J. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura J. Long

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