On the public citation graph
Honeysuckle
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-45522-1_2openalex-snapshot
Model-Based User Interface Design Using Markup Concepts
inferredcites →https://doi.org/10.1007/978-3-540-70569-7openalex-snapshot
Interactive Systems. Design, Specification, and Verification
inferredcites →https://doi.org/10.1007/978-3-642-30921-2openalex-snapshot
Trust and Trustworthy Computing : 5th international conference, TRUST 2012, Vienna, Austria, June 13 - 15, 2012 ; proceedings
inferredcites →https://doi.org/10.1007/978-3-642-30921-2_17openalex-snapshot
AndroidLeaks: Automatically Detecting Potential Privacy Leaks in Android Applications on a Large Scale
inferredcites →https://doi.org/10.1007/s10664-016-9494-9openalex-snapshot
Genetic Algorithm-based Test Generation for Software Product Line with the Integration of Fault Localization Techniques
inferredcites →https://doi.org/10.1007/s10664-017-9517-1openalex-snapshot
Privacy by designers: software developers’ privacy mindset
inferredcites →https://doi.org/10.1016/s0166-4115(08)62386-9openalex-snapshot
Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research
inferredcites →https://doi.org/10.1017/9781316831960.021openalex-snapshot
A Design Space for Effective Privacy Notices*
inferredcites →https://doi.org/10.1109/mic.2017.265102930openalex-snapshot
Designing Effective Privacy Notices and Controls
inferredcites →https://doi.org/10.1109/msp.2014.70openalex-snapshot
Improving App Privacy: Nudging App Developers to Protect User Privacy
inferredcites →https://doi.org/10.1109/tse.2019.2910516openalex-snapshot
Characterizing the Usage, Evolution and Impact of Java Annotations in Practice
inferredcites →https://doi.org/10.1109/vlhcc.2018.8506574openalex-snapshot
A Large-Scale Empirical Study on Android Runtime-Permission Rationale Messages
inferredcites →https://doi.org/10.1145/2501604.2501616openalex-snapshot
"Little brothers watching you"
inferredcites →https://doi.org/10.1145/2556288.2556978openalex-snapshot
Using personal examples to improve risk communication for security & privacy decisions
inferredcites →https://doi.org/10.1145/2556288.2557400openalex-snapshot
The effect of developer-specified explanations for permission requests on smartphone user behavior
inferredcites →https://doi.org/10.1145/2568225.2568244openalex-snapshot
Us and them: a study of privacy requirements across north america, asia, and europe
inferredcites →https://doi.org/10.1145/2660267.2660343openalex-snapshot
Collaborative Verification of Information Flow for a High-Assurance App Store
inferredcites →https://doi.org/10.1145/2702123.2702210openalex-snapshot
Your Location has been Shared 5,398 Times!
inferredcites →https://doi.org/10.1145/3106426.3106427openalex-snapshot
Large-scale readability analysis of privacy policies
inferredcites →https://doi.org/10.1145/3132029openalex-snapshot
Does this App Really Need My Location?
inferredcites →https://doi.org/10.1145/3173574.3173842openalex-snapshot
Contextualizing Privacy Decisions for Better Prediction (and Protection)
inferredcites →https://doi.org/10.1145/3313831.3376321openalex-snapshot
Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence
inferredcites →https://doi.org/10.1145/3332165.3347908openalex-snapshot
Unakite: Scaffolding Developers' Decision-Making Using the Web
inferredcites →https://doi.org/10.1145/3372296openalex-snapshot
The Dilemma of User Engagement in Privacy Notices
inferredcites →https://doi.org/10.1145/3432919openalex-snapshot
How Developers Talk About Personal Data and What It Means for User Privacy
inferredcites →https://doi.org/10.1191/1478088706qp063oaopenalex-snapshot
Using thematic analysis in psychology
inferredcites →https://doi.org/10.14722/ndss.2014.23039openalex-snapshot
A Machine-learning Approach for Classifying and Categorizing Android Sources and Sinks
inferredcites →https://doi.org/10.14722/ndss.2015.23287openalex-snapshot
Checking More and Alerting Less: Detecting Privacy Leakages via Enhanced Data-flow Analysis and Peer Voting
inferredcites →https://doi.org/10.14722/usec.2014.23006openalex-snapshot
The Privacy and Security Behaviors of Smartphone App Developers
inferredcites →https://doi.org/10.1524/icom.2011.0026openalex-snapshot
Past, Present, and Future of Model-Based User Interface Development
inferredcites →https://doi.org/10.2307/249008openalex-snapshot
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1109/eurosp57164.2023.00024openalex-snapshot
Towards Fine-Grained Localization of Privacy Behaviors
inferred← citeshttps://doi.org/10.1109/icimcis60089.2023.10348980openalex-snapshot
Information System Development In Mobile-Based On Vehicle Repair Services
inferred← citeshttps://doi.org/10.1109/sp61157.2025.00146openalex-snapshot
“Sorry for Bugging you so much.” Exploring Developers' Behavior Towards Privacy-Compliant Implementation
inferred← citeshttps://doi.org/10.1109/tse.2024.3486195openalex-snapshot
A3-CodGen: A Repository-Level Code Generation Framework for Code Reuse With Local-Aware, Global-Aware, and Third-Party-Library-Aware
inferred← citeshttps://doi.org/10.1145/3491101.3519739openalex-snapshot
Understanding iOS Privacy Nutrition Labels: An Exploratory Large-Scale Analysis of App Store Data
inferred← citeshttps://doi.org/10.1145/3491102.3502012openalex-snapshot
Understanding Challenges for Developers to Create Accurate Privacy Nutrition Labels
inferred← citeshttps://doi.org/10.1145/3664476.3670898openalex-snapshot
Create, Read, Update, Delete: Implications on Security and Privacy Principles regarding GDPR
inferred← citeshttps://doi.org/10.1145/3677122openalex-snapshot
Towards Smartphone-based 3D Hand Pose Reconstruction Using Acoustic Signals
inferred← citeshttps://doi.org/10.1145/3678588openalex-snapshot
Empowering IoT Developers with Privacy-Preserving End-User Development Tools
inferred← citeshttps://doi.org/10.1145/3818680openalex-snapshot
Enhancing Privacy-Preserving Software Development from a Developers’ Perspective: A Survey
inferred← citeshttps://doi.org/10.14722/usec.2023.232482openalex-snapshot
Do Privacy Labels Answer Users' Privacy Questions?
inferred← citeshttps://doi.org/10.1561/3300000026openalex-snapshot
The Security & Privacy Acceptance Framework (SPAF)
inferred← citeshttps://doi.org/10.23919/ist-africa67297.2025.11060563openalex-snapshot
Building a Theoretical Framework Using a Multi-Theoretical Approach: A Case of Privacy Theories
inferred← citeshttps://doi.org/10.2478/popets-2022-0038openalex-snapshot
Understanding Privacy-Related Advice on Stack Overflow
inferred← citeshttps://doi.org/10.56553/popets-2022-0061openalex-snapshot
Charting App Developers’ Journey Through Privacy Regulation Features in Ad Networks
inferred← citeshttps://doi.org/10.56553/popets-2024-0047openalex-snapshot
Data Safety vs. App Privacy: Comparing the Usability of Android and iOS Privacy Labels
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