Ciara M. Greene

124 total papers · 1.9k total citations
63 papers, 1.2k citations indexed

About

Ciara M. Greene is a scholar working on Cognitive Neuroscience, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Ciara M. Greene has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cognitive Neuroscience, 22 papers in Sociology and Political Science and 15 papers in Social Psychology. Recurrent topics in Ciara M. Greene's work include Misinformation and Its Impacts (19 papers), Memory Processes and Influences (19 papers) and Neural and Behavioral Psychology Studies (14 papers). Ciara M. Greene is often cited by papers focused on Misinformation and Its Impacts (19 papers), Memory Processes and Influences (19 papers) and Neural and Behavioral Psychology Studies (14 papers). Ciara M. Greene collaborates with scholars based in Ireland, United Kingdom and United States. Ciara M. Greene's co-authors include Gillian Murphy, John A. Groeger, David Soto, Mark A. Bellgrove, Michael Gill, Rebecca Hofstein Grady, Linda J. Levine, Elizabeth F. Loftus, Ian H. Robertson and Constance de Saint Laurent and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ciara M. Greene

58 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Ciara M. Greene 632 340 244 200 110 63 1.2k
Matti Vuorre 352 0.6× 333 1.0× 190 0.8× 231 1.2× 145 1.3× 40 1.1k
Jan G. Voelkel 525 0.8× 290 0.9× 239 1.0× 208 1.0× 116 1.1× 25 1.2k
Björn Lindström 562 0.9× 274 0.8× 296 1.2× 227 1.1× 85 0.8× 37 1.1k
Andrew Parker 449 0.7× 376 1.1× 573 2.3× 176 0.9× 129 1.2× 67 1.3k
Kira Bailey 494 0.8× 321 0.9× 120 0.5× 276 1.4× 98 0.9× 30 974
Jari Kätsyri 688 1.1× 161 0.5× 452 1.9× 379 1.9× 99 0.9× 32 1.2k
Ralf Schmälzle 466 0.7× 207 0.6× 243 1.0× 267 1.3× 35 0.3× 58 1.0k
Wouter D. Weeda 439 0.7× 236 0.7× 164 0.7× 258 1.3× 123 1.1× 37 1.2k
Bahador Bahrami 609 1.0× 184 0.5× 239 1.0× 250 1.3× 159 1.4× 36 1.1k
Xuemin Zhang 488 0.8× 281 0.8× 308 1.3× 208 1.0× 32 0.3× 78 1.1k

Countries citing papers authored by Ciara M. Greene

Since Specialization
Citations

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

Fields of papers citing papers by Ciara M. Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ciara M. Greene. 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 Ciara M. Greene. The network helps show where Ciara M. Greene may publish in the future.

Co-authorship network of co-authors of Ciara M. Greene

This figure shows the co-authorship network connecting the top 25 collaborators of Ciara M. Greene. A scholar is included among the top collaborators of Ciara M. Greene 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 Ciara M. Greene. Ciara M. Greene 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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