Marko Savić

16 papers and 329 indexed citations i.

About

Marko Savić is a scholar working on Education, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Marko Savić has authored 16 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Education, 3 papers in Artificial Intelligence and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Marko Savić’s work include Pregnancy and preeclampsia studies (3 papers), Data Analysis with R (3 papers) and Meta-analysis and systematic reviews (3 papers). Marko Savić is often cited by papers focused on Pregnancy and preeclampsia studies (3 papers), Data Analysis with R (3 papers) and Meta-analysis and systematic reviews (3 papers). Marko Savić collaborates with scholars based in Serbia, United States and Austria. Marko Savić's co-authors include Nataša Milić, Vesna D. Garovic, Tracey L. Weissgerber, Stacey J. Winham, Dejana Stanisavljević, Jelena Milin‐Lazović, Zoran Bukumirić, Mohamad Kashef, Andja Ćirković and Ethan P. Heinzen and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Marko Savić i

Fields of papers citing papers by Marko Savić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marko Savić

Since Specialization
Citations

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