Chelsea Moore

17 total papers · 671 total citations
8 papers, 474 citations indexed

About

Chelsea Moore is a scholar working on Experimental and Cognitive Psychology, Safety Research and General Agricultural and Biological Sciences. According to data from OpenAlex, Chelsea Moore has authored 8 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Experimental and Cognitive Psychology, 4 papers in Safety Research and 2 papers in General Agricultural and Biological Sciences. Recurrent topics in Chelsea Moore's work include Career Development and Diversity (4 papers), Education, Achievement, and Giftedness (4 papers) and Diverse Educational Innovations Studies (2 papers). Chelsea Moore is often cited by papers focused on Career Development and Diversity (4 papers), Education, Achievement, and Giftedness (4 papers) and Diverse Educational Innovations Studies (2 papers). Chelsea Moore collaborates with scholars based in United States, Australia and Germany. Chelsea Moore's co-authors include Catherine Riegle‐Crumb, Aida I. Ramos‐Wada, Barbara King, Jenny Buontempo, William R. Mulley, Poh‐Yi Gan, John Kanellis, Anne Balloch, Kim Mulholland and Kevan R. Polkinghorne and has published in prestigious journals such as Science Education, Sex Roles and Journal of Research on Adolescence.

In The Last Decade

Chelsea Moore

8 papers receiving 433 citations

Author Peers

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

Author						Papers	Cites
Chelsea Moore	267	239	177	87	73	8	474
Jennie S. Brotman	276 1.0×	163 0.7×	79 0.4×	125 1.4×	58 0.8×	7	434
Belinda Aeschlimann	173 0.6×	144 0.6×	106 0.6×	58 0.7×	105 1.4×	10	416
Julie Moote	295 1.1×	269 1.1×	133 0.8×	105 1.2×	93 1.3×	22	539
Annemarie van Langen	269 1.0×	135 0.6×	108 0.6×	64 0.7×	48 0.7×	12	413
Paulette Vincent‐Ruz	245 0.9×	186 0.8×	114 0.6×	108 1.2×	31 0.4×	13	411
Steve Bearman	263 1.0×	362 1.5×	120 0.7×	69 0.8×	49 0.7×	3	542
Aida I. Ramos‐Wada	175 0.7×	174 0.7×	129 0.7×	50 0.6×	71 1.0×	4	459
Elizabeth Whitelegg	293 1.1×	104 0.4×	81 0.5×	119 1.4×	57 0.8×	17	467
Randie C. Chance	212 0.8×	264 1.1×	104 0.6×	40 0.5×	40 0.5×	6	543
Will Tyson	307 1.1×	232 1.0×	115 0.6×	33 0.4×	25 0.3×	16	476

Countries citing papers authored by Chelsea Moore

Since Specialization

Citations

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

Fields of papers citing papers by Chelsea Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chelsea Moore

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