Kevin J. Burns

4.7k citations
115 papers · 2.9k indexed · h-index 31
Topics
Plant and animal studies (38 papers)Genetic diversity and population structure (30 papers)Avian ecology and behavior (21 papers)

In The Last Decade

Kevin J. Burns

107 papers receiving 2.8k citations

Peers

Kevin J. Burns
Comparison fields: 5 of 148
  • Ecology, Evolution, Behavior and Systematics 1.4k
  • Genetics 1.1k
  • Ecology 977
  • Paleontology 619
  • Nature and Landscape Conservation 538
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Kevin J. Burns

Since Specialization
Citations

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

Fields of papers citing papers by Kevin J. Burns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin J. Burns. 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 Kevin J. Burns. The network helps show where Kevin J. Burns may publish in the future.

Co-authorship network of co-authors of Kevin J. Burns

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin J. Burns. A scholar is included among the top collaborators of Kevin J. Burns 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 Kevin J. Burns. Kevin J. Burns 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 1
2 7
3 1
4 9
5 2
6 0
7 9
8 27
9 19
10
Evaluating the Operational Safety of a Digital Copilot.
1
11
Digital Copilot: Cognitive Assistance for Pilots.
11
12 45
13 36
14
The Structure of Style: Algorithmic Approaches to Understanding Manner and Meaning
20
15 77
16
Creature Double Feature: On Style and Subject in the Art of Caricature
3
17
Heads-Up Face-Off: On Style and Skill in the Game of Poker
4
18
Molecular Phylogenetic Relationships Among the Wood Warblers ( Parulidae ) and Historical Biogeography in the Caribbean Basin
26
19
Australian Gas Markets: Moving Toward Maturity
1
20
Mental Models and Normal Errors in Naturalistic Decision Making
2

About Kevin J. Burns

Kevin J. Burns is a scholar working on General Decision Sciences, Paleontology and Developmental Biology, having authored 115 papers that have together received 2.9k indexed citations. Recurring topics across this work include Plant and animal studies (38 papers), Genetic diversity and population structure (30 papers) and Avian ecology and behavior (21 papers). The work is most often cited by research in Developmental Biology (304 citations), Ecological Modeling (402 citations) and Paleontology (619 citations). Kevin J. Burns has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Allison J. Shultz, John Klicka, Nicholas A. Mason, Irby J. Lovette, F. Keith Barker, Scott M. Lanyon, Nedra K. Klein, Shannon J. Hackett, Kazuya Naoki and Heath A. Demaree. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

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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