Tim Highfield

30 papers receiving 1.1k citations

Hit Papers

Instagrammatics and digital methods: studying visual social media, from selfies and GIFs to memes and emoji 2016 · 289 citations
289201620262019202250100150200250

Peers

Tim Highfield
Comparison fields: 5 of 93
  • Communication 646
  • Gender Studies 242
  • Human-Computer Interaction 98
  • Sociology and Political Science 591
  • Literature and Literary Theory 115
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Citations per year

Countries citing papers authored by Tim Highfield

Since Specialization
Citations

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

Fields of papers citing papers by Tim Highfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Tim Highfield, 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 Tim Highfield Line = papers co-authored together Tim Highfield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Instagrammatics and digital methods: studying visual social media, from selfies and GIFs to memes and emoji
Hit paper breakdown →
2016289
2 2013172
3 2013166
4 2014137
5 201397
6 201777
7 201662
8 201048
9
Social Media and Everyday Politics
201636
10 201528
11 201427
12
Instagram: Visual Social Media Cultures
202016
13 201816
14 201012
15
Tweeted joke lifespans and appropriated punch lines: Practices around topical humor on social media
201512
16 201211
17 20239
18
Twitter as a technology for audiencing and fandom : the #Eurovision phenomenon
20138
19 20128
20
Mediated geographies of everyday life: - Navigating the ambient, augmented and algorithmic geographies of geomedia
20175

About Tim Highfield

Tim Highfield is a scholar working on Communication, Sociology and Political Science, Statistical and Nonlinear Physics, Gender Studies and Political Science and International Relations, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Social Media and Politics (21 papers), Media Studies and Communication (10 papers), Digital Games and Media (7 papers), Digital Communication and Language (4 papers), Gender, Feminism, and Media (4 papers), Complex Network Analysis Techniques (4 papers), Asian Culture and Media Studies (3 papers) and Discourse Analysis in Language Studies (3 papers). The work is most often cited by research in Communication (646 citations), Gender Studies (242 citations), Human-Computer Interaction (98 citations), Sociology and Political Science (591 citations) and Literature and Literary Theory (115 citations). Tim Highfield has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Tama Leaver, Axel Bruns, Jean Burgess, Stephen Harrington, Kate Miltner, Thomas Nicolaï, Crystal Abidin, Peta Mitchell, Stefanie Duguay and Jason Wilson. Their work appears in journals such as First Monday, Information Communication & Society, Social Science Computer Review, Media International Australia and Social Media + Society.

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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