Rachel Spilka

16 total papers · 498 total citations
11 papers, 345 citations indexed

About

Rachel Spilka is a scholar working on Literature and Literary Theory, Education and Information Systems. According to data from OpenAlex, Rachel Spilka has authored 11 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Literature and Literary Theory, 3 papers in Education and 2 papers in Information Systems. Recurrent topics in Rachel Spilka's work include Discourse Analysis in Language Studies (5 papers), Language, Metaphor, and Cognition (2 papers) and Writing and Handwriting Education (2 papers). Rachel Spilka is often cited by papers focused on Discourse Analysis in Language Studies (5 papers), Language, Metaphor, and Cognition (2 papers) and Writing and Handwriting Education (2 papers). Rachel Spilka collaborates with scholars based in United States and Russia. Rachel Spilka's co-authors include Ann M. Blakeslee, Patricia Sullivan, Alan G. Gross, Thomas B. Farrell, Steve Fuller, Nancy Roundy Blyler, Stephen Doheny‐Farina and Charlotte Thralls and has published in prestigious journals such as College Composition and Communication, College English and Journal of Business and Technical Communication.

In The Last Decade

Rachel Spilka

10 papers receiving 303 citations

Author Peers

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

Author						Papers	Cites
Rachel Spilka	185	65	60	54	50	11	345
Stephen Doheny‐Farina	152 0.8×	72 1.1×	76 1.3×	46 0.9×	47 0.9×	14	380
Charlotte Thralls	150 0.8×	48 0.7×	56 0.9×	50 0.9×	52 1.0×	18	336
Nancy Roundy Blyler	196 1.1×	66 1.0×	64 1.1×	49 0.9×	66 1.3×	24	387
Sam Dragga	81 0.4×	53 0.8×	45 0.8×	25 0.5×	40 0.8×	19	362
Ann M. Blakeslee	185 1.0×	132 2.0×	22 0.4×	51 0.9×	23 0.5×	23	331
John S. Knox	175 0.9×	68 1.0×	106 1.8×	83 1.5×	11 0.2×	23	375
Richard J. Selfe	136 0.7×	79 1.2×	94 1.6×	21 0.4×	16 0.3×	7	301
Tran Thi Thuy	127 0.7×	48 0.7×	17 0.3×	76 1.4×	22 0.4×	6	302
Patrick Dias	209 1.1×	143 2.2×	27 0.5×	99 1.8×	21 0.4×	14	362
Myron Tuman	145 0.8×	70 1.1×	78 1.3×	19 0.4×	11 0.2×	21	377

Countries citing papers authored by Rachel Spilka

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Spilka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Spilka

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