Reuben Binns

3.3k citations
32 papers · 994 indexed · 1 hit paper · h-index 13

Reuben Binns

31 papers receiving 945 citations

Hit Papers

Algorithmic content moderation: Technical and political c...20202026202220242020100200300400

Peers

Reuben Binns
Comparison fields: 5 of 82
  • Artificial Intelligence 475
  • Sociology and Political Science 455
  • Safety Research 277
  • Information Systems 177
  • Communication 147
Replace Danielle Keats Citron with:
Danielle Keats Citron United States
Mireille Hildebrandt Belgium
Kelley Cotter United States
Ronald Leenes Netherlands
Andrea L. Guzman United States
Kristen Vaccaro United States
Dallas Card United States
Robert Gorwa United Kingdom
Herman T. Tavani United States
Lilian Edwards United Kingdom
Reuben Binns relative to Danielle Keats Citron United States Danielle Keats Citron's profile →
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Citations per year

Countries citing papers authored by Reuben Binns

Since Specialization
Citations

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

Fields of papers citing papers by Reuben Binns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reuben Binns

This figure shows the co-authorship network connecting the top 25 collaborators of Reuben Binns. A scholar is included among the top collaborators of Reuben Binns based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Reuben Binns. Reuben Binns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 23
2
Analogies and Disanalogies Between Machine-Driven and Human-Driven Legal Judgement
11
3
Algorithmic content moderation: Technical and political challenges in the automation of platform governancebreakdown →
423
4 22
5 3
6 4
7
The Little Book of Philosophy for the Internet of Things
4
8 11
9
The Need for Sensemaking in Networked Privacy and Algorithmic Responsibility
2
10
'It's Reducing a Human Being to a Percentage'; Perceptions of Procedural Justice in Algorithmic Decisions
2
11 110
12 7
13 36
14 96
15 18
16 26
17 5
18
Data Protection Impact Assessments: A Meta-Regulatory Approach
1
19 1
20 0

About Reuben Binns

Reuben Binns is a scholar working on Safety Research, Health Informatics and Human-Computer Interaction, having authored 32 papers that have together received 994 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (18 papers), Ethics and Social Impacts of AI (8 papers) and Privacy-Preserving Technologies in Data (6 papers). The work is most often cited by research in Safety Research (277 citations), Health Informatics (40 citations) and Communication (147 citations). Reuben Binns has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Robert Gorwa, Christian Katzenbach, Michael Veale, Max Van Kleek, Nigel Shadbolt, Jun Zhao, Lilian Edwards, Ulrik Lyngs, Jef Ausloos and Daniel J. Weitzner. Their work appears in journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Big Data & Society and IEEE Consumer Electronics Magazine.

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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