Rick Wash

2.9k citations
54 papers · 2.1k · h-index 22

Impact in

    • Social Media and Politics
    • User Authentication and Security Systems
    • Information and Cyber Security
    • Spam and Phishing Detection

Papers in

Rick Wash

54 papers receiving 2.0k citations

Peers

Rick Wash
Comparison fields: 5 of 83
  • Communication 410
  • Information Systems 972
  • Human-Computer Interaction 218
  • Computer Science Applications 174
  • Signal Processing 318
Replace Heather Richter Lipford with:
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Citations per field
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Citations per year

Countries citing papers authored by Rick Wash

Since Specialization
Citations

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

Fields of papers citing papers by Rick Wash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010285
2 2010258
3 2011243
4 2012136
5
Symposium On Usable Privacy and Security 2014
201492
6
Understanding password choices: how frequently entered passwords are re-used across websites
201684
7 201178
8 201478
9 201477
10 201866
11 201565
12
Too Much Knowledge? Security Beliefs and Protective Behaviors Among United States Internet Users
201561
13 201160
14 202049
15 201545
16
Out of the Loop: How Automated Software Updates Cause Unintended Security Consequences
201445
17 200833
18 201329
19 200729
20 200528

About Rick Wash

Rick Wash is a scholar working on Information Systems, Sociology and Political Science, Signal Processing, Communication and Computer Science Applications, having authored 54 papers that have together received 2.1k indexed citations. Recurring topics across this work include Information and Cyber Security (11 papers), Privacy, Security, and Data Protection (11 papers), Spam and Phishing Detection (10 papers), Advanced Malware Detection Techniques (9 papers), User Authentication and Security Systems (8 papers), FinTech, Crowdfunding, Digital Finance (7 papers), Open Source Software Innovations (6 papers) and Wikis in Education and Collaboration (5 papers). The work is most often cited by research in Communication (410 citations), Information Systems (972 citations), Human-Computer Interaction (218 citations), Computer Science Applications (174 citations) and Signal Processing (318 citations). Rick Wash has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Emilee Rader, Cliff Lampe, Jacob Solomon, Alcides Velásquez, Donghee Yvette Wohn, Elif Ozkaya, Nicole B. Ellison, Jessica Vitak, Kami Vaniea and Wenjuan Ma. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Computer Supported Cooperative Work (CSCW), IEEE Security & Privacy, Journal of Cybersecurity and Proceedings of the American Society for Information Science and Technology.

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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