Lynne Barker

41 total papers · 659 total citations
19 papers, 423 citations indexed

About

Lynne Barker is a scholar working on Epidemiology, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Lynne Barker has authored 19 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Experimental and Cognitive Psychology and 5 papers in Cognitive Neuroscience. Recurrent topics in Lynne Barker's work include Traumatic Brain Injury Research (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Vitamin C and Antioxidants Research (2 papers). Lynne Barker is often cited by papers focused on Traumatic Brain Injury Research (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Vitamin C and Antioxidants Research (2 papers). Lynne Barker collaborates with scholars based in United Kingdom, Canada and Ireland. Lynne Barker's co-authors include Sophie Taylor, Sue McHale, Lisa Heavey, Jackie Andrade, Matilde Sassani, Eran Elinav, Pamela J. Shaw, Eran Segal, Christopher McDermott and Johnathan Cooper‐Knock and has published in prestigious journals such as SHILAP Revista de lepidopterología, Developmental Psychology and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Lynne Barker

19 papers receiving 410 citations

Author Peers

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

Author Last Decade Papers Cites
Lynne Barker 106 98 88 79 78 19 423
Starla M. Weaver 143 1.3× 129 1.3× 154 1.8× 99 1.3× 36 0.5× 18 439
Madeleine Sharp 122 1.2× 132 1.3× 51 0.6× 43 0.5× 38 0.5× 22 393
Patricia Pelz 81 0.8× 144 1.5× 68 0.8× 44 0.6× 19 0.2× 14 376
Erin M. Warriner 67 0.6× 99 1.0× 118 1.3× 99 1.3× 15 0.2× 15 416
Sylvia Richter 48 0.5× 172 1.8× 55 0.6× 105 1.3× 37 0.5× 15 459
Maarten V. Milders 67 0.6× 134 1.4× 188 2.1× 113 1.4× 16 0.2× 16 421
Dennis R. Brightwell 48 0.5× 85 0.9× 116 1.3× 60 0.8× 23 0.3× 16 465
Thomas S. Ehmann 132 1.2× 92 0.9× 38 0.4× 200 2.5× 17 0.2× 18 464
Barry S. Layton 26 0.2× 158 1.6× 57 0.6× 29 0.4× 47 0.6× 17 428
Davide Maria Cammisuli 68 0.6× 132 1.3× 29 0.3× 193 2.4× 19 0.2× 34 442

Countries citing papers authored by Lynne Barker

Since Specialization
Citations

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

Fields of papers citing papers by Lynne Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lynne Barker

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