Ted Striphas

1.4k citations
22 papers · 787 indexed · 2 hit papers · h-index 10

Ted Striphas

21 papers receiving 702 citations

Hit Papers

Algorithmic culture269201420262018202250100150200250

Peers

Ted Striphas
Comparison fields: 5 of 95
  • Communication 164
  • Computer Science Applications 70
  • Safety Research 103
  • Music 36
  • Gender Studies 86
Replace Wendy Hui Kyong Chun with:
Wendy Hui Kyong Chun Canada
Simone Natale United Kingdom
Siva Vaidhyanathan United States
Ignacio Siles Costa Rica
Tim Jordan United Kingdom
Geert Lovink Netherlands
Lisa Gitelman Switzerland
Blake Hallinan Israel
Mizuko Ito United States
Lars Nyre Norway
Ted Striphas relative to Wendy Hui Kyong Chun Canada Wendy Hui Kyong Chun's profile →
Citations per field
00.5×1.5×
Wendy Hui Kyong Chun · 1×
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-authorship network

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
#Work
1 20221
2 202116
3 20180
4 20189
5 20172
6
Algorithmic culturebreakdown →
2015269
7
Recommended for you: The Netflix Prize and the production of algorithmic culturebreakdown →
2014293
8 20134
9 20114
10 201012
11 201026
12 20095
13 200681
14 20068
15 200316
16 200211
17 20012
18
Banality, Book Publishing, and the Everyday Life of Cultural Studies
20002
19 199811
20 19986

About Ted Striphas

Ted Striphas is a scholar working on Literature and Literary Theory, Human-Computer Interaction and Marketing, having authored 22 papers that have together received 787 indexed citations. Recurring topics across this work include Rhetoric and Communication Studies (3 papers), Copyright and Intellectual Property (3 papers), University Challenges and Reforms (2 papers), Social and Cultural Dynamics (2 papers), Ethics and Social Impacts of AI (2 papers), Innovative Human-Technology Interaction (2 papers), Discourse Analysis in Language Studies (2 papers) and Social Media and Politics (1 paper). The work is most often cited by research in Communication (164 citations), Computer Science Applications (70 citations) and Safety Research (103 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 Television & New Media.

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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