Arunesh Mathur

23 papers receiving 772 citations

Arunesh Mathur's Hit Papers

Dark Patterns at Scale 2019 · 295 citations
2950+2+4Years since publication50100150200250

Peers

Arunesh Mathur
Comparison fields: 5 of 68
  • Human-Computer Interaction 133
  • Applied Psychology 58
  • Information Systems and Management 87
  • General Decision Sciences 21
  • Information Systems 219
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Citations per year

Countries citing papers authored by Arunesh Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Arunesh Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dark Patterns at Scale
Hit paper breakdown →
2019295
2 202083
3 202079
4 201852
5 201534
6 202132
7 201931
8
Characterizing the Use of Browser-Based Blocking Extensions To Prevent Online Tracking.
201825
9 202021
10 200218
11 202216
12 201716
13
Impact of User Characteristics on Attitudes Towards Automatic Mobile Application Updates.
201714
14
"They Keep Coming Back Like Zombies": Improving Software Updating Interfaces
201612
15 201911
16 202311
17 201211
18
Keepers of the Machines: Examining How System Administrators Manage Software Updates For Multiple Machines
20199
19 20209
20 20195

About Arunesh Mathur

Arunesh Mathur is a scholar working on Sociology and Political Science, Information Systems, Human-Computer Interaction, Computer Networks and Communications and Artificial Intelligence, having authored 24 papers that have together received 793 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (9 papers), Innovative Human-Technology Interaction (5 papers), Spam and Phishing Detection (4 papers), Green IT and Sustainability (3 papers), Data Visualization and Analytics (3 papers), Software Engineering Research (3 papers), Digital Marketing and Social Media (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (133 citations), Applied Psychology (58 citations), Information Systems and Management (87 citations), General Decision Sciences (21 citations) and Information Systems (219 citations). Arunesh Mathur has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Marshini Chetty, Arvind Narayanan, Güneş Acar, Jonathan Mayer, Michael Jan Friedman, Nathan Malkin, Serge Egelman, Marian Harbach, Eyal Péer and Alisa Frik. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Communications of the ACM, Computers in Human Behavior, Queue and Big Data & 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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