Aleksandra Slavković

Aleksandra Slavković's AcademicInfluence.com Rankings

Mathematics

#7965

World Rank

#10820

Historical Rank

Statistics

#1138

World Rank

#1243

Historical Rank

mathematics Degrees

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Mathematics

Aleksandra Slavković's Degrees

PhD Statistics University of Belgrade
Masters Statistics University of Belgrade
Bachelors Mathematics University of Belgrade

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Why Is Aleksandra Slavković Influential?

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According to Wikipedia, Aleksandra B. Slavković is an American statistician, a professor of statistics at Pennsylvania State University, and Associate Dean for Graduate Education in the Eberly College of Science at Pennsylvania State. She also chairs the Committee on Privacy and Confidentiality in Statistics of the American Statistical Association. Her research interests include statistical disclosure control, algebraic statistics, and the applications of statistics in the social sciences.

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Aleksandra Slavković's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Ten Simple Rules for the Care and Feeding of Scientific Data (2014) (166)
Using a large projection screen as an alternative to head-mounted displays for virtual environments (2000) (161)
Privacy-Preserving Data Sharing for Genome-Wide Association Studies (2012) (134)
Scalable privacy-preserving data sharing methodology for genome-wide association studies (2014) (131)
Inference using noisy degrees: Differentially private $\beta$-model and synthetic graphs (2012) (103)
General and specific utility measures for synthetic data (2016) (102)
Differential Privacy for Clinical Trial Data: Preliminary Evaluations (2009) (101)
"Secure" Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases (2007) (100)
Privacy Preserving GWAS Data Sharing (2011) (90)
Articulating common ground in cooperative work: content and process (2008) (88)
Supporting common ground and awareness in emergency management planning: A design research project (2011) (68)
Supporting content and process common ground in computer-supported teamwork (2009) (67)
Differentially Private Graphical Degree Sequences and Synthetic Graphs (2012) (53)
Preserving the Confidentiality of Categorical Statistical Data Bases When Releasing Information for Association Rules* (2005) (52)
"Secure" Log-Linear and Logistic Regression Analysis of Distributed Databases (2006) (52)
Sharing social network data: differentially private estimation of exponential family random‐graph models (2015) (44)
Bounds for Cell Entries in Two-Way Tables Given Conditional Relative Frequencies (2004) (42)
Algebraic Statistics and Contingency Table Problems: Log-Linear Models, Likelihood Estimation, and Disclosure Limitation (2009) (39)
pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity (2018) (39)
Differentially Private Uniformly Most Powerful Tests for Binomial Data (2018) (39)
Differentially Private Exponential Random Graphs (2014) (38)
Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms (2018) (35)
Valid Statistical Analysis for Logistic Regression with Multiple Sources (2009) (35)
Novice heuristic evaluations of a complex interface (1999) (27)
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA (2019) (24)
Making the Release of Confidential Data from Multi-Way Tables Count (2004) (24)
Synthetic two-way contingency tables that preserve conditional frequencies (2010) (23)
Differentially private model selection with penalized and constrained likelihood (2016) (22)
Statistical models for incorporating data from routine HIV testing of pregnant women at antenatal clinics into HIV/AIDS epidemic estimates (2017) (19)
Differentially Private Inference for Binomial Data (2019) (18)
A Survey of Statistical Approaches to Preserving Confidentiality of Contingency Table Entries (2008) (16)
Partial Information Releases for Confidential Contingency Table Entries: Present and Future Research Efforts (2010) (15)
The space of compatible full conditionals is a unimodular toric variety (2004) (14)
Fibers of multi-way contingency tables given conditionals: relation to marginals, cell bounds and Markov bases (2014) (13)
Private Posterior distributions from Variational approximations (2015) (11)
Data Privacy and Confidentiality (2011) (11)
Evaluating Polygraph Data (2002) (10)
Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy (2012) (10)
A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms (2018) (9)
Cell Bounds in Two-Way Contingency Tables Based on Conditional Frequencies (2008) (9)
Algebraic and Geometric Methods in Statistics: Algebraic geometry of 2×2 contingency tables (2009) (9)
Private Posterior Inference Consistent with Public Information: A Case Study in Small Area Estimation from Synthetic Census Data (2020) (8)
Differentially Private Synthetic graphs (2012) (7)
Conditional inference given partial information in contingency tables using Markov bases (2013) (6)
Logistic Regression with Variables Subject to Post Randomization Method (2012) (6)
3 Algebraic geometry of 2 × 2 contingency tables (2009) (6)
Cell Bounds in k-way Tables Given Conditional Frequencies (2012) (5)
Providing accurate models across private partitioned data: Secure maximum likelihood estimation (2017) (5)
Synthetic Data via Quantile Regression for Heavy-Tailed and Heteroskedastic Data (2018) (4)
CAUSAL INFERENCE IN TRANSPORTATION SAFETY STUDIES : COMPARISON OF THE POTENTIAL OUTCOMES AND CAUSAL BAYESIAN NETWORKS (2009) (3)
Statistical Disclosure Limitation with Released Marginals and Conditionals for Contingency Tables (2004) (3)
A sample space of kway tables given conditionals and their relations to marginals : Implications for cell bounds and Markov bases (2009) (3)
O Privacy, Where Art Thou? (2011) (3)
Steve the Matchmaker: The Marriage of Statistics and Computer Science in the World of Data Privacy (2013) (3)
Statistical learning on emerging economies (2018) (2)
A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables (2022) (1)
Automatable Distributed Regression Analysis of Vertically Partitioned Data Facilitated by PopMedNet: Feasibility and Enhancement Study (2021) (1)
“ Old Wine in New Bottles , ” and Some More New Wine – Stephen Fienberg ’ s Influence on Algebraic Statistics (2019) (1)
Algebraic Statistics (2011) (1)
Consistency of Privacy-Preserving Spectral Clustering under the Stochastic Block Model (2021) (1)
Fibers of multi-way contingency tables given conditionals: relation to marginals, cell bounds and Markov bases (2014) (1)
Stephen Elliott Fienberg 1942–2016, Founding Editor of the Annual Review of Statistics and Its Application (2019) (1)
Accurate Estimation of Structural Equation Models with Remote Partitioned Data (2016) (1)
Preface to the fourth IEEE workshop on privacy aspects of data mining (2013) (0)
Remembering Stephen Fienberg (2018) (0)
Automatable Distributed Regression Analysis of Vertically Partitioned Data Facilitated by PopMedNet: Feasibility and Enhancement Study (Preprint) (2020) (0)
Two pages (scan) from Galilei's Sidereus Nuncius (“The Starry Messenger” or “The Herald of the Stars”), Venice, 1610. (2014) (0)
Redesigning PopMedNetTM for distributed regression analysis with vertically partitioned data (2019) (0)
Coding: Statistical Data Masking Techniques (2008) (0)
Stephen Fienberg's influence on algebraic statistics (2019) (0)
Automated Scoring of Polygraph Data (2003) (0)
Interview with Steve Fienberg (2013) (0)
Program for TPDP 2016 (2019) (0)
O Privacy, Where Art Thou? (2011) (0)
The Pennsylvania State University The Graduate School Eberly College of Science AN EM BASED TAGGING SNP SELECTION ALGORITHM INCORPORATING GENOTYPING ERRORS A Thesis in Statistics (2014) (0)
Coding: Statistical Data Masking Techniques† (2014) (0)

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Aleksandra Slavković's Academic­Influence.com Rankings