Florian Schaub

7.5k total citations · 5 hit papers
131 papers, 4.5k citations indexed

About

Florian Schaub is a scholar working on Sociology and Political Science, Information Systems and Artificial Intelligence. According to data from OpenAlex, Florian Schaub has authored 131 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Sociology and Political Science, 47 papers in Information Systems and 35 papers in Artificial Intelligence. Recurrent topics in Florian Schaub's work include Privacy, Security, and Data Protection (74 papers), User Authentication and Security Systems (27 papers) and Privacy-Preserving Technologies in Data (23 papers). Florian Schaub is often cited by papers focused on Privacy, Security, and Data Protection (74 papers), User Authentication and Security Systems (27 papers) and Privacy-Preserving Technologies in Data (23 papers). Florian Schaub collaborates with scholars based in United States, Germany and Netherlands. Florian Schaub's co-authors include Frank Kargl, Michael Weber, Norman Sadeh, Lorrie Faith Cranor, Benjamin Zimmerman, Alessandro Acquisti, Yixin Zou, Shomir Wilson, Bastian Könings and Jonathan Petit and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Communications Magazine.

In The Last Decade

Florian Schaub

125 papers receiving 4.3k citations

Hit Papers

Alexa, Are You Listening? 2014 2026 2018 2022 2018 2017 2014 2015 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Florian Schaub United States 38 2.4k 1.5k 1.5k 716 675 131 4.5k
Blase Ur United States 33 1.4k 0.6× 1.7k 1.2× 726 0.5× 494 0.7× 211 0.3× 85 3.4k
Apu Kapadia United States 31 1.2k 0.5× 827 0.6× 1.5k 1.0× 354 0.5× 220 0.3× 109 3.2k
Serge Egelman United States 37 2.8k 1.2× 2.9k 1.9× 1.1k 0.8× 558 0.8× 125 0.2× 95 5.1k
Rebecca E. Grinter United States 48 1.6k 0.7× 2.7k 1.8× 948 0.6× 2.5k 3.5× 325 0.5× 111 7.0k
Alfred Kobsa United States 38 1.7k 0.7× 1.9k 1.3× 2.0k 1.3× 659 0.9× 81 0.1× 136 4.9k
Patrick Gage Kelley United States 27 1.8k 0.7× 1.6k 1.1× 781 0.5× 433 0.6× 78 0.1× 74 3.2k
Jaime Teevan United States 43 1.1k 0.5× 3.7k 2.5× 2.5k 1.7× 913 1.3× 110 0.2× 152 7.8k
Steve Whittaker United States 53 1.8k 0.7× 1.3k 0.9× 1.9k 1.3× 4.0k 5.5× 132 0.2× 193 9.3k
M. Angela Sasse United Kingdom 29 1.7k 0.7× 2.1k 1.4× 478 0.3× 905 1.3× 103 0.2× 164 4.4k
W. Keith Edwards United States 39 996 0.4× 1.1k 0.7× 602 0.4× 1.8k 2.5× 217 0.3× 112 4.3k

Countries citing papers authored by Florian Schaub

Since Specialization
Citations

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

Fields of papers citing papers by Florian Schaub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Schaub

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Schaub. A scholar is included among the top collaborators of Florian Schaub 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 Florian Schaub. Florian Schaub 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
1.
Schaub, Florian, et al.. (2025). Ads that Talk Back: Implications and Perceptions of Injecting Personalized Advertising into LLM Chatbots. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(4). 1–47.
2.
Im, Jane, et al.. (2024). User-Centric Textual Descriptions of Privacy-Enhancing Technologies for Ad Tracking and Analytics. Proceedings on Privacy Enhancing Technologies. 2025(1). 379–398. 1 indexed citations
3.
4.
Zou, Yixin, et al.. (2024). Encouraging Users to Change Breached Passwords Using the Protection Motivation Theory. ACM Transactions on Computer-Human Interaction. 31(5). 1–45. 3 indexed citations
5.
Zou, Yixin, et al.. (2024). Unfulfilled Promises of Child Safety and Privacy: Portrayals and Use of Children in Smart Home Marketing. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW1). 1–29. 5 indexed citations
6.
Utz, Christine, et al.. (2023). Privacy Rarely Considered: Exploring Considerations in the Adoption of Third-Party Services by Websites. Proceedings on Privacy Enhancing Technologies. 2023(1). 5–28. 10 indexed citations
7.
Mayer, Peter, et al.. (2023). Awareness, Intention, (In)Action: Individuals’ Reactions to Data Breaches. ACM Transactions on Computer-Human Interaction. 30(5). 1–53. 14 indexed citations
8.
Mhaidli, Abraham, et al.. (2023). Shockvertising, Malware, and a Lack of Accountability: Exploring Consumer Risks of Virtual Reality Advertisements and Marketing Experiences. IEEE Security & Privacy. 22(1). 43–52. 2 indexed citations
9.
Schaub, Florian, et al.. (2023). Privacy Now or Never. 1–4. 3 indexed citations
10.
Schaub, Florian, et al.. (2021). Disparities in Students’ Propensity to Consent to Learning Analytics. International Journal of Artificial Intelligence in Education. 32(3). 564–608. 26 indexed citations
11.
McDonald, Allison, et al.. (2021). "It's stressful having all these phones": Investigating Sex Workers' Safety Goals, Risks, and Practices Online. USENIX Security Symposium. 375–392. 5 indexed citations
12.
Zou, Yixin & Florian Schaub. (2019). Beyond Mandatory: Making Data Breach Notifications Useful for Consumers. IEEE Security & Privacy. 17(2). 67–72. 13 indexed citations
13.
Mhaidli, Abraham, Yixin Zou, & Florian Schaub. (2019). "We Can't Live Without Them!" App Developers' Adoption of Ad Networks and Their Considerations of Consumer Risks.. Symposium On Usable Privacy and Security. 225–244. 15 indexed citations
14.
Frik, Alisa, et al.. (2019). Privacy and Security Threat Models and Mitigation Strategies of Older Adults. Symposium On Usable Privacy and Security. 21–40. 49 indexed citations
15.
Harkous, Hamza, Kassem Fawaz, Rémi Lebret, et al.. (2018). Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 531–548. 19 indexed citations
16.
Zou, Yixin, et al.. (2018). I've got nothing to lose: consumers' risk perceptions and protective actions after the equifax data breach. Symposium On Usable Privacy and Security. 197–216. 24 indexed citations
17.
Sathyendra, Kanthashree Mysore, Florian Schaub, Shomir Wilson, & Norman Sadeh. (2016). Automatic extraction of opt-out choices from privacy policies. National Conference on Artificial Intelligence. 270–275. 14 indexed citations
18.
Schaub, Florian, et al.. (2016). Drone-based Privacy Interfaces: Opportunities and Challenges. Symposium On Usable Privacy and Security. 8 indexed citations
19.
Gluck, Joshua, Florian Schaub, Amy L. Friedman, et al.. (2016). How Short Is Too Short? Implications of Length and Framing on the Effectiveness of Privacy Notices. Symposium On Usable Privacy and Security. 321–340. 38 indexed citations
20.
Wilson, Shomir, Florian Schaub, Frederick Liu, et al.. (2016). The Creation and Analysis of a Website Privacy Policy Corpus. 1330–1340. 164 indexed citations

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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