Kimberly Sena Moore

46 total papers · 661 total citations
24 papers, 438 citations indexed

About

Kimberly Sena Moore is a scholar working on Social Psychology, Cognitive Neuroscience and Music. According to data from OpenAlex, Kimberly Sena Moore has authored 24 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Social Psychology, 11 papers in Cognitive Neuroscience and 10 papers in Music. Recurrent topics in Kimberly Sena Moore's work include Music Therapy and Health (15 papers), Diverse Music Education Insights (10 papers) and Neuroscience and Music Perception (9 papers). Kimberly Sena Moore is often cited by papers focused on Music Therapy and Health (15 papers), Diverse Music Education Insights (10 papers) and Neuroscience and Music Perception (9 papers). Kimberly Sena Moore collaborates with scholars based in United States. Kimberly Sena Moore's co-authors include Deanna Hanson‐Abromeit, Kate Gfeller, Carol Olszewski, John F. Knutson, Shelley Witt, Mark R. Dixon, Jennifer A. Delaney, Michael H. Thaut, Gerald C. McIntosh and David A. Peterson and has published in prestigious journals such as Frontiers in Human Neuroscience, Journal of Applied Behavior Analysis and Nursing Research.

In The Last Decade

Kimberly Sena Moore

20 papers receiving 401 citations

Author Peers

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

Author						Papers	Cites
Kimberly Sena Moore	285	228	96	65	45	24	438
Alexandra Linnemann	240 0.8×	269 1.2×	94 1.0×	16 0.2×	52 1.2×	18	492
Cathy H. McKinney	208 0.7×	322 1.4×	104 1.1×	16 0.2×	59 1.3×	18	469
Esa Ala-Ruona	311 1.1×	358 1.6×	121 1.3×	40 0.6×	56 1.2×	31	494
Amy Clements-Cortés	200 0.7×	280 1.2×	67 0.7×	13 0.2×	80 1.8×	53	474
Gro Trondalen	290 1.0×	334 1.5×	197 2.1×	12 0.2×	27 0.6×	27	476
Marko Punkanen	294 1.0×	339 1.5×	123 1.3×	14 0.2×	54 1.2×	14	464
Naomi Ziv	213 0.7×	168 0.7×	63 0.7×	6 0.1×	43 1.0×	23	385
Carol A. Prickett	214 0.8×	274 1.2×	163 1.7×	5 0.1×	36 0.8×	15	433
Édith Lecourt	177 0.6×	257 1.1×	32 0.3×	7 0.1×	121 2.7×	33	374
Daphne Rickson	197 0.7×	263 1.2×	140 1.5×	5 0.1×	32 0.7×	28	392

Countries citing papers authored by Kimberly Sena Moore

Since Specialization

Citations

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

Fields of papers citing papers by Kimberly Sena Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Sena Moore

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