David Beer

64 papers receiving 2.6k citations

David Beer's Hit Papers

The social power of algorithms 2016 · 543 citations
5430+5+11Years since publication100200300400500

Peers

David Beer
Comparison fields: 5 of 117
  • Communication 583
  • Music 225
  • Safety Research 443
  • Computer Science Applications 200
  • Sociology and Political Science 1.5k
Replace Mark Andrejevic with:
Mark Andrejevic Australia
Taina Bucher Norway
Lawrence Lessig United States
Tarleton Gillespie United States
Karl Maton Australia
Thomas Poell Netherlands
Anne Helmond Netherlands
David B. Nieborg Canada
Christine Hine United Kingdom
Martijn de Waal Netherlands
David Beer relative to Mark Andrejevic Australia Mark Andrejevic's profile →
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Citations per year

Countries citing papers authored by David Beer

Since Specialization
Citations

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

Fields of papers citing papers by David Beer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside David Beer, 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 David Beer Line = papers co-authored together David Beer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The social power of algorithms
Hit paper breakdown →
2016543
2
Power through the algorithm? Participatory web cultures and the technological unconscious
Hit paper breakdown →
2009518
3 2007274
4 2016247
5 2013159
6 2013142
7 2019133
8 200384
9 200881
10 201768
11 201665
12 201553
13 201145
14
New Media: The Key Concepts
200840
15 202136
16 200735
17 201331
18 201629
19 201327
20 200826

About David Beer

David Beer is a scholar working on Music, Communication, Sociology and Political Science, Urban Studies and Safety Research, having authored 72 papers that have together received 3.1k indexed citations. Recurring topics across this work include Music History and Culture (15 papers), Social and Cultural Dynamics (14 papers), Cultural Industries and Urban Development (8 papers), Digital Games and Media (8 papers), Social Media and Politics (6 papers), Ethics and Social Impacts of AI (6 papers), Contemporary Sociological Theory and Practice (6 papers) and Data Analysis and Archiving (6 papers). The work is most often cited by research in Communication (583 citations), Music (225 citations), Safety Research (443 citations), Computer Science Applications (200 citations) and Sociology and Political Science (1.5k citations). David Beer has collaborated with scholars based in United Kingdom, Australia and Chile. Frequent co-authors include Roger Burrows, Ruth Penfold-Mounce, Nicholas Gane, Benjamin N. Jacobsen, Mark Taylor, Barry Sandywell, Rowland Atkinson, James Cussens, Alison M.R. Wallace and Daniel Chernilo. Their work appears in journals such as Sociological Research Online, Information Communication & Society, Theory Culture & Society, Big Data & Society and First Monday.

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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