Aaron Shaw

3.2k citations
49 papers · 2.2k · 1 hit paper · h-index 19

Impact in

Papers in

Aaron Shaw

46 papers receiving 2.1k citations

Aaron Shaw's Hit Papers

The future of crowd work 2013 · 782 citations
7820+4+8Years since publication250500750

Peers

Aaron Shaw
Comparison fields: 5 of 98
  • Computer Science Applications 728
  • Communication 580
  • General Social Sciences 77
  • Human-Computer Interaction 110
  • Industrial relations 17
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Aaron Shaw relative to Benjamin Mako Hill United States Benjamin Mako Hill's profile →
Citations per field
00.5×2×3.4×
Benjamin Mako Hill · 1×
Citations per year

Countries citing papers authored by Aaron Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aaron Shaw, 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 Aaron Shaw Line = papers co-authored together Aaron Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The future of crowd work
Hit paper breakdown →
2013782
2 2011186
3 2013168
4 2014156
5 2014134
6 2012102
7 201397
8 201873
9 202055
10 201251
11 201242
12 201034
13 201733
14 201730
15 201830
16 201428
17
A Tale of Two Blogospheres: Discursive Practices on the Left and Right
201026
18 202225
19 201122
20 201514

About Aaron Shaw

Aaron Shaw is a scholar working on Communication, Computer Science Applications, Sociology and Political Science, General Social Sciences and Safety Research, having authored 49 papers that have together received 2.2k indexed citations. Recurring topics across this work include Wikis in Education and Collaboration (18 papers), Social Media and Politics (11 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Open Source Software Innovations (4 papers), Survey Methodology and Nonresponse (3 papers), Ethics and Social Impacts of AI (3 papers), Misinformation and Its Impacts (3 papers) and Information Systems Theories and Implementation (3 papers). The work is most often cited by research in Computer Science Applications (728 citations), Communication (580 citations), General Social Sciences (77 citations), Human-Computer Interaction (110 citations) and Industrial relations (17 citations). Aaron Shaw has collaborated with scholars based in United States, Switzerland and Singapore. Frequent co-authors include Eszter Hargittai, Benjamin Mako Hill, John Joseph Horton, Elizabeth M. Gerber, Jeffrey V. Nickerson, John Zimmerman, Michael S. Bernstein, Matthew Lease, Aniket Kittur and Daniel L. Chen. Their work appears in journals such as Journal of Communication, Proceedings of the ACM on Human-Computer Interaction, Science Advances, Information Communication & Society and Journal of Information Technology & Politics.

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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