Aleksandra Slavković

44 papers and 647 indexed citations i.

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 44 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 12 papers in Statistics and Probability and 6 papers in Sociology and Political Science. Recurrent topics in Aleksandra Slavković’s work include Privacy-Preserving Technologies in Data (22 papers), Cryptography and Data Security (7 papers) and Statistical Methods and Inference (6 papers). Aleksandra Slavković is often cited by papers focused on Privacy-Preserving Technologies in Data (22 papers), Cryptography and Data Security (7 papers) and Statistical Methods and 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, Vishesh Karwa, Fei Yu, Beata Nowok, Chris Dibben, Gillian Raab, Yuval Nardi, M. Tibbits and Gregorio Convertino and has published in prestigious journals such as Journal of the American Statistical Association, The Annals of Statistics and AIDS.

In The Last Decade

Co-authorship network of co-authors of Aleksandra Slavković i

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.

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).

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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