Lisa A. Parr

5.0k citations
74 papers · 3.4k indexed · h-index 35
Topics
Primate Behavior and Ecology (48 papers)Face Recognition and Perception (41 papers)Evolutionary Psychology and Human Behavior (17 papers)

In The Last Decade

Lisa A. Parr

74 papers receiving 3.3k citations

Peers

Lisa A. Parr
Comparison fields: 5 of 140
  • Social Psychology 2.0k
  • Cognitive Neuroscience 1.7k
  • Experimental and Cognitive Psychology 891
  • Developmental Biology 496
  • Genetics 492
Replace Bridget M. Waller with:
Bridget M. Waller United Kingdom
Masaki Tomonaga Japan
David Eilam Israel
Richard Andrew United Kingdom
Annika Paukner United States
Kim A. Bard United States
Zsófia Virányi Austria
Kazutaka Mogi Japan
Katsuki Nakamura Japan
Berry M. Spruijt Netherlands
Lisa A. Parr relative to Bridget M. Waller United Kingdom Bridget M. Waller's profile →
Citations per field
00.5×1.7×
Bridget M. Waller · 1×
Citations per year

Countries citing papers authored by Lisa A. Parr

Since Specialization
Citations

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

Fields of papers citing papers by Lisa A. Parr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa A. Parr. 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 Lisa A. Parr. The network helps show where Lisa A. Parr may publish in the future.

Co-authorship network of co-authors of Lisa A. Parr

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 22
3 95
4 9
5 113
6 36
7 13
8 14
9 55
10 30
11 44
12 140
13 54
14 114
15 157
16 32
17 15
18 74
19 88
20 29

About Lisa A. Parr

Lisa A. Parr is a scholar working on Developmental Biology, Social Psychology and Cognitive Neuroscience, having authored 74 papers that have together received 3.4k indexed citations. Recurring topics across this work include Primate Behavior and Ecology (48 papers), Face Recognition and Perception (41 papers) and Evolutionary Psychology and Human Behavior (17 papers). The work is most often cited by research in Developmental Biology (496 citations), Social Psychology (2.0k citations) and Cognitive Neuroscience (1.7k citations). Lisa A. Parr has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Bridget M. Waller, William D. Hopkins, Matthew R. Heintz, Sarah‐Jane Vick, Kim A. Bard, Anne M. Burrows, Larry J. Young, Meera E. Modi, Todd M. Preuss and James K. Rilling. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

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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