Aleksandra Slavković

1.9k total citations
50 papers, 795 citations indexed

About

Aleksandra Slavković is a scholar working on Artificial Intelligence, Statistics and Probability and Sociology and Political Science. According to data from OpenAlex, Aleksandra Slavković has authored 50 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 13 papers in Statistics and Probability and 8 papers in Sociology and Political Science. Recurrent topics in Aleksandra Slavković's work include Privacy-Preserving Technologies in Data (22 papers), Statistical Methods and Inference (7 papers) and Bayesian Modeling and Causal Inference (6 papers). Aleksandra Slavković is often cited by papers focused on Privacy-Preserving Technologies in Data (22 papers), Statistical Methods and Inference (7 papers) and Bayesian Modeling and Causal Inference (6 papers). Aleksandra Slavković collaborates with scholars based in United States, Canada and Austria. Aleksandra Slavković's co-authors include Stephen E. Fienberg, Caroline Uhler, John M. Carroll, Mary Beth Rosson, Helena M. Mentis, Gregorio Convertino, Fei Yu, Jennifer A. Rode, Dennis Cosgrove and Vishesh Karwa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and AIDS.

In The Last Decade

Aleksandra Slavković

47 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aleksandra Slavković United States 15 426 148 111 105 102 50 795
Kamran Sedig Canada 18 212 0.5× 128 0.9× 131 1.2× 35 0.3× 23 0.2× 84 994
Curtis R. Cook United States 23 260 0.6× 110 0.7× 63 0.6× 82 0.8× 105 1.0× 72 1.6k
Sadique Ahmad Pakistan 13 132 0.3× 91 0.6× 109 1.0× 10 0.1× 62 0.6× 97 783
Michael Kickmeier-Rust Austria 15 263 0.6× 73 0.5× 133 1.2× 8 0.1× 32 0.3× 70 928
Daniel M. Gruen United States 13 248 0.6× 73 0.5× 92 0.8× 8 0.1× 30 0.3× 24 690
Barbara Di Eugenio United States 21 1.3k 3.0× 55 0.4× 53 0.5× 15 0.1× 11 0.1× 143 1.8k
Shivani Kapania United States 8 233 0.5× 48 0.3× 63 0.6× 6 0.1× 21 0.2× 14 610
Kemi Jona United States 12 131 0.3× 54 0.4× 27 0.2× 30 0.3× 55 0.5× 29 1.4k
Suresh K. Bhavnani United States 15 140 0.3× 56 0.4× 51 0.5× 4 0.0× 71 0.7× 66 839
Dennis Wei United States 18 493 1.2× 7 0.0× 45 0.4× 40 0.4× 30 0.3× 54 867

Countries citing papers authored by Aleksandra Slavković

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandra Slavković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandra Slavković

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandra Slavković. A scholar is included among the top collaborators of Aleksandra Slavković 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 Aleksandra Slavković. Aleksandra Slavković 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.
Drechsler, Jörg, Daniel Kifer, Jerome P. Reiter, & Aleksandra Slavković. (2024). Handbook of Sharing Confidential Data. 1 indexed citations
2.
Reiter, Jerome P., et al.. (2022). A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables. SHILAP Revista de lepidopterología. 12(1). 1 indexed citations
3.
Her, Qoua L., et al.. (2021). Automatable Distributed Regression Analysis of Vertically Partitioned Data Facilitated by PopMedNet: Feasibility and Enhancement Study. JMIR Medical Informatics. 9(4). e21459–e21459. 1 indexed citations
4.
Slavković, Aleksandra, et al.. (2021). Consistent Spectral Clustering of Network Block Models under Local Differential Privacy. arXiv (Cornell University). 3 indexed citations
5.
Reimherr, Matthew, et al.. (2019). Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA. arXiv (Cornell University). 374–384. 4 indexed citations
6.
Slavković, Aleksandra, et al.. (2018). Differentially Private Uniformly Most Powerful Tests for Binomial Data. Neural Information Processing Systems. 31. 4208–4218. 2 indexed citations
7.
Slavković, Aleksandra. (2018). Evaluating Polygraph Data. Figshare. 3 indexed citations
8.
Li, Bai, Vishesh Karwa, Aleksandra Slavković, & Rebecca C. Steorts. (2018). A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms. SHILAP Revista de lepidopterología. 8(1). 5 indexed citations
9.
Li, Bing, et al.. (2017). Statistical learning on emerging economies. Journal of Applied Statistics. 45(3). 487–507. 2 indexed citations
10.
Slavković, Aleksandra, et al.. (2015). O Privacy, Where Art Thou?: Genomics and Privacy. CHANCE. 28(2). 37–39. 2 indexed citations
11.
Uhler, Caroline, Aleksandra Slavković, & Stephen E. Fienberg. (2013). Privacy-Preserving Data Sharing for Genome-Wide Association Studies. SHILAP Revista de lepidopterología. 5(1). 137–166. 73 indexed citations
12.
Slavković, Aleksandra, et al.. (2013). Interview with Steve Fienberg. CHANCE. 26(4). 18–29. 1 indexed citations
13.
Karwa, Vishesh & Aleksandra Slavković. (2013). Conditional inference given partial information in contingency tables using Markov bases. Wiley Interdisciplinary Reviews Computational Statistics. 5(3). 207–218. 5 indexed citations
14.
Slavković, Aleksandra. (2013). Steve the Matchmaker: The Marriage of Statistics and Computer Science in the World of Data Privacy. CHANCE. 26(4). 4–7. 3 indexed citations
15.
Smucker, Byran J., Aleksandra Slavković, & Xiaotian Zhu. (2012). Cell Bounds in k-way Tables Given Conditional Frequencies. Journal of Official Statistics. 28(1). 121–140. 5 indexed citations
16.
Karwa, Vishesh & Aleksandra Slavković. (2012). Differentially Private Synthetic graphs. arXiv (Cornell University). 1 indexed citations
17.
Slavković, Aleksandra & Adam Smith. (2012). Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy. SHILAP Revista de lepidopterología. 4(1). 5 indexed citations
18.
Gibilisco, Paolo, Paolo Gibilisco, Stephen E. Fienberg, et al.. (2009). Algebraic and Geometric Methods in Statistics. Cambridge University Press eBooks. 30 indexed citations
19.
Slavković, Aleksandra & Ju Youn Lee. (2009). Synthetic two-way contingency tables that preserve conditional frequencies. Statistical Methodology. 7(3). 225–239. 10 indexed citations
20.
Fienberg, Stephen E. & Aleksandra Slavković. (2005). Preserving the Confidentiality of Categorical Statistical Data Bases When Releasing Information for Association Rules*. Data Mining and Knowledge Discovery. 11(2). 155–180. 29 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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