Laura G. Vick

14 total papers · 834 total citations
11 papers, 529 citations indexed

About

Laura G. Vick is a scholar working on Social Psychology, Ecology, Evolution, Behavior and Systematics and Developmental Biology. According to data from OpenAlex, Laura G. Vick has authored 11 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Social Psychology, 9 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Developmental Biology. Recurrent topics in Laura G. Vick's work include Primate Behavior and Ecology (10 papers), Animal Behavior and Reproduction (9 papers) and Animal Vocal Communication and Behavior (6 papers). Laura G. Vick is often cited by papers focused on Primate Behavior and Ecology (10 papers), Animal Behavior and Reproduction (9 papers) and Animal Vocal Communication and Behavior (6 papers). Laura G. Vick collaborates with scholars based in United States, Mexico and United Kingdom. Laura G. Vick's co-authors include Gabriel Ramos‐Fernández, Filippo Aureli, Colleen M. Schaffner, Denis Boyer, Christina J. Campbell, Sabrina E. Russo, Scott A. Suarez, Colin A. Chapman, K.R. Matthews and John M. Conley and has published in prestigious journals such as PLoS ONE, Behavioral Ecology and Sociobiology and International Journal of Primatology.

In The Last Decade

Laura G. Vick

11 papers receiving 500 citations

Author Peers

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

Author Last Decade Papers Cites
Laura G. Vick 456 387 240 126 45 11 529
Miranda Stevenson 428 0.9× 261 0.7× 155 0.6× 87 0.7× 52 1.2× 14 555
Michele L. Goldsmith 442 1.0× 341 0.9× 264 1.1× 147 1.2× 29 0.6× 6 536
Christina J. Campbell 358 0.8× 254 0.7× 159 0.7× 177 1.4× 33 0.7× 18 487
Jeremy J. Raemaekers 424 0.9× 396 1.0× 368 1.5× 158 1.3× 46 1.0× 9 572
R. Craig Kirkpatrick 411 0.9× 264 0.7× 154 0.6× 200 1.6× 41 0.9× 12 541
Elizabeth M. Erhart 369 0.8× 300 0.8× 133 0.6× 141 1.1× 97 2.2× 19 488
Patsy Dunbar 426 0.9× 247 0.6× 180 0.8× 111 0.9× 32 0.7× 8 539
Evan L. Zucker 416 0.9× 236 0.6× 189 0.8× 151 1.2× 32 0.7× 26 485
Christophe Abegg 362 0.8× 249 0.6× 166 0.7× 119 0.9× 48 1.1× 9 470
Benjamin J. Ashton 260 0.6× 406 1.0× 144 0.6× 193 1.5× 46 1.0× 27 545

Countries citing papers authored by Laura G. Vick

Since Specialization
Citations

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

Fields of papers citing papers by Laura G. Vick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura G. Vick. 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 Laura G. Vick. The network helps show where Laura G. Vick may publish in the future.

Co-authorship network of co-authors of Laura G. Vick

This figure shows the co-authorship network connecting the top 25 collaborators of Laura G. Vick. A scholar is included among the top collaborators of Laura G. Vick 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 Laura G. Vick. Laura G. Vick 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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