Karen Vines

3.9k citations
14 papers · 2.6k indexed · 1 hit paper · h-index 6

Karen Vines

13 papers receiving 2.5k citations

Hit Papers

CODA: convergence diagnosis and output analysis for MCMC2006202620122019200650010001.5k2.0k

Peers

Karen Vines
Comparison fields: 5 of 188
  • Genetics 607
  • Ecology 544
  • Statistics and Probability 460
  • Ecology, Evolution, Behavior and Systematics 448
  • Nature and Landscape Conservation 348
Replace Katalin Csilléry with:
Katalin Csilléry Switzerland
Uwe Ligges Germany
Michaël G. B. Blum France
Robert V. Foutz United States
M.W. Feldman United States
Kevin McConway United Kingdom
Lynn Kuo United States
Chris Field Canada
Neal L. Oden United States
Nariaki Sugiura Japan
Karen Vines relative to Katalin Csilléry Switzerland Katalin Csilléry's profile →
Citations per field
00.5×2.9×
Katalin Csilléry · 1×
Citations per year

Countries citing papers authored by Karen Vines

Since Specialization
Citations

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

Fields of papers citing papers by Karen Vines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Vines

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Vines. A scholar is included among the top collaborators of Karen Vines 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 Karen Vines. Karen Vines is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4
Output Analysis and Diagnostics for MCMC [R package coda version 0.19-4]
7
5 14
6
Output Analysis and Diagnostics for MCMC
41
7 5
8
Perceptual maps: the good, the bad and the ugly
3
9 1
10
CODA: convergence diagnosis and output analysis for MCMCbreakdown →
2488
11 4
12 2
13 2
14 16

About Karen Vines

Karen Vines is a scholar working on Tourism, Leisure and Hospitality Management, Statistics and Probability and Obstetrics and Gynecology, having authored 14 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (2 papers), Sensory Analysis and Statistical Methods (2 papers) and Statistics Education and Methodologies (2 papers). The work is most often cited by research in Statistics and Probability (460 citations), Ecological Modeling (160 citations) and Nature and Landscape Conservation (348 citations). Karen Vines has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Martyn Plummer, Nicky Best, Deepayan Sarkar, Árni Magnússon, Douglas M. Bates, Russell G. Almond, Bradley E. Sturgeon, Steven J. Peters, Cheryl D. Stevenson and Michel van de Velden. Their work appears in journals such as The Journal of Physical Chemistry, Food Quality and Preference and Ultrasound in Obstetrics and Gynecology.

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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