Gillian Murphy

151 total papers · 3.3k total citations
91 papers, 2.3k citations indexed

About

Gillian Murphy is a scholar working on Sociology and Political Science, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Gillian Murphy has authored 91 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Sociology and Political Science, 26 papers in Social Psychology and 24 papers in Cognitive Neuroscience. Recurrent topics in Gillian Murphy's work include Misinformation and Its Impacts (25 papers), Memory Processes and Influences (10 papers) and Deception detection and forensic psychology (9 papers). Gillian Murphy is often cited by papers focused on Misinformation and Its Impacts (25 papers), Memory Processes and Influences (10 papers) and Deception detection and forensic psychology (9 papers). Gillian Murphy collaborates with scholars based in Ireland, United Kingdom and United States. Gillian Murphy's co-authors include Ciara M. Greene, Brian Murphy, Brian Hathaway, John A. Groeger, Karen Matvienko‐Sikar, Marica Cassarino, Masoom A. Haider, Elizabeth F. Loftus, Sangeet Ghai and Lisa Murphy and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Gillian Murphy

82 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
Gillian Murphy 435 434 433 297 282 91 2.3k
Małgorzata Lipowska 304 0.7× 90 0.2× 56 0.1× 127 0.4× 128 0.5× 154 2.8k
Brian A. Jackson 305 0.7× 486 1.1× 514 1.2× 117 0.4× 28 0.1× 184 3.0k
David J. Combs 53 0.1× 290 0.7× 242 0.6× 593 2.0× 127 0.5× 54 2.1k
Yasunori Yamada 482 1.1× 177 0.4× 23 0.1× 172 0.6× 388 1.4× 127 1.8k
Gin‐Chung Liu 157 0.4× 472 1.1× 909 2.1× 43 0.1× 40 0.1× 96 3.1k
Esther Kim 60 0.1× 579 1.3× 57 0.1× 72 0.2× 207 0.7× 123 2.0k
John A. Tucker 141 0.3× 73 0.2× 108 0.2× 193 0.6× 103 0.4× 122 2.5k
Nancy Lee Jones 90 0.2× 79 0.2× 77 0.2× 28 0.1× 235 0.8× 77 2.1k
Yun Peng 113 0.3× 529 1.2× 30 0.1× 69 0.2× 35 0.1× 180 2.7k
Brian T. McMahon 47 0.1× 81 0.2× 235 0.5× 154 0.5× 55 0.2× 147 2.1k

Countries citing papers authored by Gillian Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Gillian Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gillian Murphy

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