OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Disclosure Avoidance and the 2020 Census: What Do Researchers Need to Know?
Erica L. Groshen, Daniel L. Goroff
Harvard data science review (2022)
Open Access | Times Cited: 9
Erica L. Groshen, Daniel L. Goroff
Harvard data science review (2022)
Open Access | Times Cited: 9
Showing 9 citing articles:
Protecting Vulnerable Respondents: A Critical Analysis of the Privacy-Preserving Methods of the 2010 and 2020 Decennial Census
Krishnamurty Muralidhar, Josep Domingo‐Ferrer, David Sánchez, et al.
Population Research and Policy Review (2025) Vol. 44, Iss. 1
Open Access | Times Cited: 1
Krishnamurty Muralidhar, Josep Domingo‐Ferrer, David Sánchez, et al.
Population Research and Policy Review (2025) Vol. 44, Iss. 1
Open Access | Times Cited: 1
Utilizing Mobility Data to Investigate Seasonal Hourly Visiting Behavior for Downtown Parks in Dallas
Yang Song, Z. Guo, Ruiqi Yang, et al.
Urban Science (2024) Vol. 8, Iss. 2, pp. 59-59
Open Access | Times Cited: 3
Yang Song, Z. Guo, Ruiqi Yang, et al.
Urban Science (2024) Vol. 8, Iss. 2, pp. 59-59
Open Access | Times Cited: 3
A Chronicle of the Application of Differential Privacy to the 2020 Census
V. Joseph Hotz, Joseph J. Salvo
Harvard data science review (2022)
Open Access | Times Cited: 13
V. Joseph Hotz, Joseph J. Salvo
Harvard data science review (2022)
Open Access | Times Cited: 13
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy
Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 19, pp. 21554-21562
Open Access | Times Cited: 1
Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 19, pp. 21554-21562
Open Access | Times Cited: 1
Differentially private confidence intervals for proportions under stratified random sampling
Shurong Lin, Mark Bun, Marco Gaboardi, et al.
Electronic Journal of Statistics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Shurong Lin, Mark Bun, Marco Gaboardi, et al.
Electronic Journal of Statistics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Offset-Symmetric Gaussians for Differential Privacy
Parastoo Sadeghi, Mehdi Korki
IEEE Transactions on Information Forensics and Security (2022) Vol. 17, pp. 2394-2409
Open Access | Times Cited: 7
Parastoo Sadeghi, Mehdi Korki
IEEE Transactions on Information Forensics and Security (2022) Vol. 17, pp. 2394-2409
Open Access | Times Cited: 7
Harnessing the Known Unknowns: Differential Privacy and the 2020 Census
Ruobin Gong, Erica L. Groshen, Salil Vadhan
Harvard data science review (2022)
Open Access | Times Cited: 6
Ruobin Gong, Erica L. Groshen, Salil Vadhan
Harvard data science review (2022)
Open Access | Times Cited: 6
Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling
Shurong Lin, Mark Bun, Marco Gaboardi, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Shurong Lin, Mark Bun, Marco Gaboardi, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Impacts of census differential privacy for small-area disease mapping to monitor health inequities
Yanran Li, Brent A. Coull, Nancy Krieger, et al.
Science Advances (2023) Vol. 9, Iss. 33
Open Access | Times Cited: 1
Yanran Li, Brent A. Coull, Nancy Krieger, et al.
Science Advances (2023) Vol. 9, Iss. 33
Open Access | Times Cited: 1
