Violet R. Cane

3.0k citations
19 papers · 2.0k indexed · 1 hit paper · h-index 10
Topics
COVID-19 epidemiological studies (3 papers)Neural Networks and Applications (2 papers)Visual perception and processing mechanisms (2 papers)
Partner nations
United Kingdom

In The Last Decade

Violet R. Cane

18 papers receiving 1.8k citations

Hit Papers

Individual Choice Behavior: A Theoretical Analysis.1960202619822004196050010001.5k

Peers

Violet R. Cane
Comparison fields: 5 of 141
  • Economics and Econometrics 705
  • General Decision Sciences 430
  • Marketing 358
  • Management Science and Operations Research 357
  • Artificial Intelligence 300
Replace Clyde H. Coombs with:
Clyde H. Coombs United States
Shmuel Sattath Israel
Gordon F. Pitz United States
Lyle V. Jones United States
Benjamin Scheibehenne Switzerland
Milton E. Terry Canada
Isaac Meilijson Israel
Michael E. Doherty United States
Henry Brighton Germany
Lael J. Schooler Germany
Violet R. Cane relative to Clyde H. Coombs United States Clyde H. Coombs's profile →
Citations per field
00.5×3.9×
Clyde H. Coombs · 1×
Citations per year

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

19 of 19 papers shown
#WorkIndexed citations
1 9
2 62
3 10
4 2
5 46
6 3
7 18
8 23
9 1
10
Mathematical models for neural networks
1
11 24
12 5
13
Individual Choice Behavior: A Theoretical Analysis.breakdown →
1751
14 28
15 5
16 2
17 9
18 21
19 3

About Violet R. Cane

Violet R. Cane is a scholar working on Modeling and Simulation, Museology and Management Science and Operations Research, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Neural Networks and Applications (2 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in General Decision Sciences (430 citations), Marketing (358 citations) and Management Science and Operations Research (357 citations). Violet R. Cane has collaborated with scholars based in United Kingdom. Frequent co-authors include R. Duncan Luce, Quentin L. Burrell, John L. Brown and Margaret A. Vince. Their work appears in journals such as Nature, Animal Behaviour and Journal of the Royal Statistical Society Series B (Statistical Methodology).

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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