Ted Striphas

25 papers receiving 815 citations

Ted Striphas's Hit Papers

Algorithmic culture 2015 · 337 citations
3370+4+8Years since publication100200300

Peers

Ted Striphas
Comparison fields: 5 of 93
  • Communication 199
  • Music 69
  • Safety Research 124
  • Computer Science Applications 81
  • Human-Computer Interaction 59
Replace Lisa Gitelman with:
Lisa Gitelman Switzerland
Siva Vaidhyanathan United States
Sanjay Sharma United Kingdom
Ignacio Siles Costa Rica
Blake Hallinan Israel
Geert Lovink Netherlands
Simone Natale United Kingdom
Tim Jordan United Kingdom
E. Gabriella Coleman United States
Carolin Gerlitz Netherlands
Ted Striphas relative to Lisa Gitelman Switzerland Lisa Gitelman's profile →
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Citations per year

Countries citing papers authored by Ted Striphas

Since Specialization
Citations

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

Fields of papers citing papers by Ted Striphas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Ted Striphas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ted Striphas Line = papers co-authored together Ted Striphas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recommended for you: The Netflix Prize and the production of algorithmic culture
Hit paper breakdown →
2014348
2
Algorithmic culture
Hit paper breakdown →
2015337
3 200691
4 201028
5 202117
6 200317
7 199815
8 201013
9 200212
10 20189
11 20068
12 20068
13 20237
14 20066
15 19986
16 20095
17 20165
18 20134
19 20114
20 20134

About Ted Striphas

Ted Striphas is a scholar working on Sociology and Political Science, Literature and Literary Theory, Marketing, Philosophy and Communication, having authored 27 papers that have together received 954 indexed citations. Recurring topics across this work include Copyright and Intellectual Property (3 papers), Rhetoric and Communication Studies (3 papers), Ethics and Social Impacts of AI (2 papers), Discourse Analysis in Language Studies (2 papers), University Challenges and Reforms (2 papers), Social and Cultural Dynamics (2 papers), Innovative Human-Technology Interaction (2 papers) and Digital Games and Media (1 paper). The work is most often cited by research in Communication (199 citations), Music (69 citations), Safety Research (124 citations), Computer Science Applications (81 citations) and Human-Computer Interaction (59 citations). Ted Striphas has collaborated with scholars based in United States, Ireland and Hong Kong. Frequent co-authors include Blake Hallinan, Jeffrey St. John, Gregory J. Shepherd, John Nguyet Erni, Kembrew McLeod, Mark Hayward and Phaedra C. Pezzullo. Their work appears in journals such as Cultural Studies, Communication and Critical/Cultural Studies, Critical Studies in Media Communication, International Journal of Cultural Studies and European Journal of Cultural Studies.

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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