Aleksandra Slavković
- Artificial Intelligence top 5%
- Human-Computer Interaction top 2%
- Sociology and Political Science
- Statistics and Probability top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Stephen E. FienbergCaroline UhlerHelena M. MentisJohn M. CarrollGregorio ConvertinoMary Beth RossonFei YuDennis Cosgrove
- Topics
- Privacy-Preserving Technologies in Data (22 papers)Statistical Methods and Inference (7 papers)Bayesian Modeling and Causal Inference (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationAIDS
- Partner nations
- United StatesCanadaAustria
In The Last Decade
Aleksandra Slavković
47 papers receiving 756 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 426
- Human-Computer Interaction 148
- Sociology and Political Science 111
- Statistics and Probability 105
- Public Health, Environmental and Occupational Health 102
Countries citing papers authored by Aleksandra Slavković
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | Differentially Private Uniformly Most Powerful Tests for Binomial Data | 2 |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 85 | |
| 13 | 73 | |
| 14 | 1 | |
| 15 | Differentially Private Synthetic graphs | 1 |
| 16 | Cell Bounds in k-way Tables Given Conditional Frequencies | 5 |
| 17 | 5 | |
| 18 | 30 | |
| 19 | 10 | |
| 20 | 29 |
About Aleksandra Slavković
Aleksandra Slavković is a scholar working on Statistics and Probability, Artificial Intelligence and Human-Computer Interaction, having authored 50 papers that have together received 795 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (22 papers), Statistical Methods and Inference (7 papers) and Bayesian Modeling and Causal Inference (6 papers). The work is most often cited by research in Human-Computer Interaction (148 citations), Artificial Intelligence (426 citations) and Statistics and Probability (105 citations). Aleksandra Slavković has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Stephen E. Fienberg, Caroline Uhler, Helena M. Mentis, John M. Carroll, Gregorio Convertino, Mary Beth Rosson, Fei Yu, Dennis Cosgrove, Jennifer A. Rode and Vishesh Karwa. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and AIDS.
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.