Nina Gerber

1.0k total citations · 1 hit paper
39 papers, 589 citations indexed

About

Nina Gerber is a scholar working on Sociology and Political Science, Information Systems and Human-Computer Interaction. According to data from OpenAlex, Nina Gerber has authored 39 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Sociology and Political Science, 18 papers in Information Systems and 8 papers in Human-Computer Interaction. Recurrent topics in Nina Gerber's work include Privacy, Security, and Data Protection (24 papers), User Authentication and Security Systems (12 papers) and Sexuality, Behavior, and Technology (5 papers). Nina Gerber is often cited by papers focused on Privacy, Security, and Data Protection (24 papers), User Authentication and Security Systems (12 papers) and Sexuality, Behavior, and Technology (5 papers). Nina Gerber collaborates with scholars based in Germany, United Kingdom and Switzerland. Nina Gerber's co-authors include Melanie Volkamer, Paul Gerber, Verena Zimmermann, Oksana Kulyk, Karola Marky, Peter Mayer, Simone Fischer‐Hübner, Mohamed Khamis, Felix Kretschmer and Joachim Vogt and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Human-Computer Studies and Journal of Intellectual Capital.

In The Last Decade

Nina Gerber

36 papers receiving 567 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Explaining the privacy paradox: A systematic review of literature investigating privacy attitude and behavior

2018 296 citations Nina Gerber, Paul Gerber et al. profile →

Peers

Nina Gerber

SPS

IS

AI

ISM

HI

Aleecia M. McDonald United States

Xinru Page United States

Joanna Bresee United States

Woodrow Hartzog United States

Ruogu Kang United States

Hana Habib United States

Yixin Zou United States

Nathan W. Twyman United States

Fred Stutzman United States

Sean Kross United States

Aleecia M. McDonald United States

Nina Gerber

424 ×1.0

SPS

150 ×0.9

IS

196 ×1.7

AI

56 ×0.6

ISM

40 ×0.5

HI

Citations per year, relative to Nina Gerber Nina Gerber (= 1×) peers Aleecia M. McDonald

Countries citing papers authored by Nina Gerber

Since Specialization

Citations

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

Fields of papers citing papers by Nina Gerber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Gerber

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Gerber. A scholar is included among the top collaborators of Nina Gerber 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 Nina Gerber. Nina Gerber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Zimmermann, Verena, et al.. (2025). Let's Get Visual - Testing Visual Analogies and Metaphors for Conveying Privacy Policies and Data Handling Information. 2303–2321.

2.

Marky, Karola, et al.. (2024). Investigating Voter Perceptions of Printed Physical Audit Trails for Online Voting. TUbilio (Technical University of Darmstadt). 3458–3477.

3.

Gerber, Nina, et al.. (2023). Current topics of interdisciplinary cooperation between engineering and human sciences. Zeitschrift für Arbeitswissenschaft. 77(1). 7–22.

4.

Gerber, Nina, et al.. (2023). Don’t Accept All and Continue: Exploring Nudges for More Deliberate Interaction with Tracking Consent Notices. ACM Transactions on Computer-Human Interaction. 31(1). 1–36. 6 indexed citations

5.

Kretschmer, Felix, et al.. (2023). Investigating how Users Imagine their Personal Privacy Assistant. Proceedings on Privacy Enhancing Technologies. 2023(2). 384–402. 8 indexed citations

6.

Gerber, Nina, et al.. (2023). How Website Owners Face Privacy Issues: Thematic Analysis of Responses from a Covert Notification Study Reveals Diverse Circumstances and Challenges. Proceedings on Privacy Enhancing Technologies. 2023(2). 251–264. 5 indexed citations

7.

Gerber, Nina, et al.. (2023). Human Factors in Privacy Research. Directory of Open access Books (OAPEN Foundation). 3 indexed citations

8.

Gerber, Nina, et al.. (2022). Autonomous Driving - Analysing the Impact of Resilience Engineering Features in Smart Car Interfaces. TUbilio (Technical University of Darmstadt). 545–549. 1 indexed citations

9.

Gerber, Paul, et al.. (2021). Taking on driving tasks yourself? That was yesterday! How drivers would like to be supported by assistance systems. TUbilio (Technical University of Darmstadt). 71–76. 1 indexed citations

10.

Gerber, Nina, et al.. (2021). Towards Resilient Critical Infrastructures – Motivating Users to Contribute to Smart Grid Resilience. i-com. 20(2). 161–175. 1 indexed citations

11.

Gerber, Nina, et al.. (2020). Benefits of formalized computational modeling for understanding user behavior in online privacy research. Journal of Intellectual Capital. 21(3). 431–458. 4 indexed citations

12.

Gerber, Nina, et al.. (2019). Sichere Instant Messaging Apps. Datenschutz und Datensicherheit - DuD. 43(5). 276–280. 1 indexed citations

13.

Zimmermann, Verena & Nina Gerber. (2019). The password is dead, long live the password – A laboratory study on user perceptions of authentication schemes. International Journal of Human-Computer Studies. 133. 26–44. 55 indexed citations

14.

Gerber, Nina, et al.. (2018). FoxIT. 53–63. 14 indexed citations

15.

Zimmermann, Verena, et al.. (2018). The Quest to Replace Passwords Revisited - Rating Authentication Schemes. TUbilio (Technical University of Darmstadt). 38–48. 3 indexed citations

16.

Marky, Karola, Peter Mayer, Nina Gerber, & Verena Zimmermann. (2018). Assistance in Daily Password Generation Tasks. 786–793. 7 indexed citations

17.

Gerber, Nina, et al.. (2018). Evaluation der Nutzbarkeit von PGP und S/MIME in Thunderbird. TUbilio (Technical University of Darmstadt). 439. 3 indexed citations

18.

Gerber, Nina, et al.. (2018). Helping john to make informed decisions on using social login. Repository KITopen (Karlsruhe Institute of Technology). 1165–1174. 14 indexed citations

19.

Mayer, Peter, et al.. (2017). Productivity vs security: mitigating conflicting goals in organizations. Information and Computer Security. 25(2). 137–151. 9 indexed citations

20.

Zimmermann, Verena, et al.. (2017). Promoting Secure Email Communication and Authentication. TUbilio (Technical University of Darmstadt). 1 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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