Rachel Part

12 total papers · 410 total citations
6 papers, 248 citations indexed

About

Rachel Part is a scholar working on Social Psychology, Experimental and Cognitive Psychology and Safety Research. According to data from OpenAlex, Rachel Part has authored 6 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 3 papers in Experimental and Cognitive Psychology and 3 papers in Safety Research. Recurrent topics in Rachel Part's work include Motivation and Self-Concept in Sports (5 papers), Education, Achievement, and Giftedness (3 papers) and Career Development and Diversity (2 papers). Rachel Part is often cited by papers focused on Motivation and Self-Concept in Sports (5 papers), Education, Achievement, and Giftedness (3 papers) and Career Development and Diversity (2 papers). Rachel Part collaborates with scholars based in United States, Australia and Türkiye. Rachel Part's co-authors include Harsha N. Perera, Matthew L. Bernacki, Gwen C. Marchand, Peter McIlveen and Sündüs Yerdelen and has published in prestigious journals such as Science Education, Contemporary Educational Psychology and British Journal of Educational Psychology.

In The Last Decade

Rachel Part

6 papers receiving 239 citations

Author Peers

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

Author						Papers	Cites
Rachel Part	163	91	63	53	42	6	248
Sophia Yang Hooper	162 1.0×	94 1.0×	90 1.4×	36 0.7×	42 1.0×	6	275
Mary‐Catherine McClain	138 0.8×	76 0.8×	133 2.1×	81 1.5×	34 0.8×	9	276
Jenny Buontempo	137 0.8×	143 1.6×	148 2.3×	56 1.1×	37 0.9×	9	308
Zi Yang Wong	138 0.8×	75 0.8×	40 0.6×	28 0.5×	62 1.5×	6	235
Oqab Alrashidi	150 0.9×	91 1.0×	37 0.6×	20 0.4×	57 1.4×	5	310
Päivi Taskinen	198 1.2×	101 1.1×	124 2.0×	62 1.2×	54 1.3×	9	293
Caroline Trautwein	212 1.3×	62 0.7×	37 0.6×	28 0.5×	39 0.9×	9	290
Jiyun Elizabeth L. Shin	89 0.5×	65 0.7×	70 1.1×	102 1.9×	36 0.9×	11	240
Donna L. Enersen	158 1.0×	42 0.5×	142 2.3×	43 0.8×	51 1.2×	11	269
Evelyn Bergsmann	144 0.9×	105 1.2×	107 1.7×	25 0.5×	34 0.8×	11	329

Countries citing papers authored by Rachel Part

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Part

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Part

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