Rachel Spilka
- Literature and Literary Theory top 2%
- Education top 10%
- Communication top 10%
- Language and Linguistics top 10%
- Social Psychology
- Co-authors
- Ann M. BlakesleePatricia SullivanAlan G. GrossSteve FullerThomas B. FarrellNancy Roundy BlylerStephen Doheny‐FarinaCharlotte Thralls
- Topics
- Discourse Analysis in Language Studies (5 papers)Software Engineering Techniques and Practices (2 papers)Language, Metaphor, and Cognition (2 papers)
- Journals
- College Composition and CommunicationCollege EnglishJournal of Business and Technical Communication
- Partner nations
- United StatesRussia
In The Last Decade
Rachel Spilka
10 papers receiving 303 citations
Peers
Comparison fields: 5 of 70
- Literature and Literary Theory 183
- Education 63
- Communication 60
- Language and Linguistics 53
- Social Psychology 50
Countries citing papers authored by Rachel Spilka
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 35 | |
| 3 | 15 | |
| 4 | 12 | |
| 5 | Communicating across Organizational Boundaries: A Challenge for Workplace Professionals. | 2 |
| 6 | 191 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | Qualitative Research in Technical Communication: Issues of Value, Identity, and Use. | 20 |
| 10 | 25 | |
| 11 | Studying Writer-Reader Interactions in the Workplace. | 10 |
About Rachel Spilka
Rachel Spilka is a scholar working on Literature and Literary Theory, History and Philosophy of Science and Experimental and Cognitive Psychology, having authored 11 papers that have together received 345 indexed citations. Recurring topics across this work include Discourse Analysis in Language Studies (5 papers), Software Engineering Techniques and Practices (2 papers) and Language, Metaphor, and Cognition (2 papers). The work is most often cited by research in Literature and Literary Theory (183 citations), Communication (60 citations) and Human-Computer Interaction (38 citations). Rachel Spilka has collaborated with scholars based in United States and Russia. Frequent co-authors include Ann M. Blakeslee, Patricia Sullivan, Alan G. Gross, Steve Fuller, Thomas B. Farrell, Nancy Roundy Blyler, Stephen Doheny‐Farina and Charlotte Thralls. Their work appears in journals such as College Composition and Communication, College English and Journal of Business and Technical Communication.
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.