Cameron Buckner

64 total papers · 1.7k total citations
34 papers, 732 citations indexed

About

Cameron Buckner is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Cameron Buckner has authored 34 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 12 papers in Artificial Intelligence and 10 papers in Social Psychology. Recurrent topics in Cameron Buckner's work include Child and Animal Learning Development (8 papers), Semantic Web and Ontologies (6 papers) and Psychology of Moral and Emotional Judgment (6 papers). Cameron Buckner is often cited by papers focused on Child and Animal Learning Development (8 papers), Semantic Web and Ontologies (6 papers) and Psychology of Moral and Emotional Judgment (6 papers). Cameron Buckner collaborates with scholars based in United States, Germany and United Kingdom. Cameron Buckner's co-authors include Thomas Bugnyar, Stephan A. Reber, Chad Gonnerman, Jonathan M. Weinberg, Joshua Alexander, Colin Allen, Mathias Niepert, Heiner Stuckenschmidt, Kai Eckert and Jaimie Murdock and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Cameron Buckner

32 papers receiving 680 citations

Author Peers

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

Author						Papers	Cites
Cameron Buckner	285	190	185	124	121	34	732
Michel González	199 0.7×	84 0.4×	224 1.2×	356 2.9×	63 0.5×	18	808
John Beloff	267 0.9×	196 1.0×	64 0.3×	189 1.5×	191 1.6×	22	837
Myles Brand	283 1.0×	87 0.5×	121 0.7×	57 0.5×	217 1.8×	37	715
Dimitri Ognibene	471 1.7×	166 0.9×	141 0.8×	67 0.5×	34 0.3×	38	747
Mirko Farina	301 1.1×	127 0.7×	110 0.6×	59 0.5×	75 0.6×	62	865
Keith Gunderson	130 0.5×	92 0.5×	110 0.6×	109 0.9×	157 1.3×	17	688
Matteo Colombo	468 1.6×	118 0.6×	56 0.3×	49 0.4×	77 0.6×	66	766
Axel Constant	570 2.0×	244 1.3×	57 0.3×	67 0.5×	97 0.8×	39	829
Andrea Scarantino	393 1.4×	359 1.9×	72 0.4×	69 0.6×	60 0.5×	33	884
Kristien Dieussaert	242 0.8×	117 0.6×	275 1.5×	316 2.5×	33 0.3×	35	847

Countries citing papers authored by Cameron Buckner

Since Specialization

Citations

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

Fields of papers citing papers by Cameron Buckner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cameron Buckner

This figure shows the co-authorship network connecting the top 25 collaborators of Cameron Buckner. A scholar is included among the top collaborators of Cameron Buckner 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 Cameron Buckner. Cameron Buckner 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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