Elizabeth Shaw

48 total papers · 631 total citations
21 papers, 303 citations indexed

About

Elizabeth Shaw is a scholar working on Cognitive Neuroscience, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Elizabeth Shaw has authored 21 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 5 papers in Clinical Psychology and 5 papers in Sociology and Political Science. Recurrent topics in Elizabeth Shaw's work include Free Will and Agency (9 papers), Neuroethics, Human Enhancement, Biomedical Innovations (7 papers) and Psychology of Moral and Emotional Judgment (4 papers). Elizabeth Shaw is often cited by papers focused on Free Will and Agency (9 papers), Neuroethics, Human Enhancement, Biomedical Innovations (7 papers) and Psychology of Moral and Emotional Judgment (4 papers). Elizabeth Shaw collaborates with scholars based in United Kingdom, United States and Belgium. Elizabeth Shaw's co-authors include Elspeth McFadzean, Andrew O’Loughlin, Michael Novák, Paul Adams, Ann Wolbert Burgess, Jenny Povey, Paul Boreham, Gregg D. Caruso, Adrian Cherney and Farah Focquaert and has published in prestigious journals such as European Journal of Innovation Management, International Journal of Law and Psychiatry and Journal of Psychosocial Nursing and Mental Health Services.

In The Last Decade

Elizabeth Shaw

18 papers receiving 256 citations

Author Peers

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

Author Last Decade Papers Cites
Elizabeth Shaw 115 81 70 40 39 21 303
Eric Marcus 86 0.7× 25 0.3× 97 1.4× 62 1.6× 14 0.4× 24 363
S Ramnarayan 89 0.8× 97 1.2× 11 0.2× 108 2.7× 25 0.6× 19 341
Kevin T. Jackson 20 0.2× 113 1.4× 28 0.4× 108 2.7× 9 0.2× 29 334
Jay Joseph 21 0.2× 82 1.0× 12 0.2× 88 2.2× 30 0.8× 27 360
Florian Artinger 31 0.3× 85 1.0× 33 0.5× 58 1.4× 12 0.3× 16 330
John Kohls 25 0.2× 74 0.9× 66 0.9× 115 2.9× 9 0.2× 14 353
Majid Ghorbani 101 0.9× 49 0.6× 31 0.4× 80 2.0× 14 0.4× 24 337
Sasi Misra 91 0.8× 41 0.5× 9 0.1× 153 3.8× 29 0.7× 18 349
Jeffrey R. Cornwall 143 1.2× 37 0.5× 8 0.1× 73 1.8× 49 1.3× 20 303
Onno Bouwmeester 83 0.7× 70 0.9× 20 0.3× 133 3.3× 12 0.3× 23 353

Countries citing papers authored by Elizabeth Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Shaw

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