Violet R. Cane

26 total papers · 3.0k total citations
19 papers, 2.0k citations indexed

About

Violet R. Cane is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Violet R. Cane has authored 19 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Violet R. Cane's work include COVID-19 epidemiological studies (3 papers), Probability and Risk Models (2 papers) and Neural Networks and Applications (2 papers). Violet R. Cane is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Probability and Risk Models (2 papers) and Neural Networks and Applications (2 papers). Violet R. Cane collaborates with scholars based in United Kingdom. Violet R. Cane's co-authors include R. Duncan Luce, Quentin L. Burrell, John L. Brown and Margaret A. Vince and has published in prestigious journals such as Nature, Animal Behaviour and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Violet R. Cane

18 papers receiving 1.8k citations

Hit Papers

Individual Choice Behavio... 1960 2026 1982 2004 1960 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Violet R. Cane 704 430 358 356 299 19 2.0k
Shmuel Sattath 701 1.0× 810 1.9× 347 1.0× 256 0.7× 260 0.9× 14 2.8k
Benjamin Scheibehenne 466 0.7× 659 1.5× 507 1.4× 190 0.5× 138 0.5× 52 2.2k
A. A. J. Marley 1.5k 2.1× 833 1.9× 369 1.0× 399 1.1× 289 1.0× 96 3.1k
Craig R. M. McKenzie 419 0.6× 939 2.2× 112 0.3× 256 0.7× 272 0.9× 47 2.1k
Lola L. Lopes 598 0.8× 1.1k 2.6× 63 0.2× 387 1.1× 246 0.8× 39 2.0k
Greg Barron 682 1.0× 1.4k 3.2× 126 0.4× 465 1.3× 243 0.8× 19 2.6k
Douglas H. Wedell 569 0.8× 994 2.3× 426 1.2× 252 0.7× 94 0.3× 90 2.7k
Young-Won Ha 171 0.2× 597 1.4× 682 1.9× 195 0.5× 360 1.2× 10 2.5k
Nancy Pennington 404 0.6× 447 1.0× 99 0.3× 230 0.6× 586 2.0× 26 3.3k
Jennifer S. Trueblood 373 0.5× 822 1.9× 80 0.2× 207 0.6× 426 1.4× 72 1.8k

Countries citing papers authored by Violet R. Cane

Since Specialization
Citations

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

Fields of papers citing papers by Violet R. Cane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Violet R. Cane. 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 Violet R. Cane. The network helps show where Violet R. Cane may publish in the future.

Co-authorship network of co-authors of Violet R. Cane

This figure shows the co-authorship network connecting the top 25 collaborators of Violet R. Cane. A scholar is included among the top collaborators of Violet R. Cane 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 Violet R. Cane. Violet R. Cane 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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