Marko Savić

21 papers receiving 391 citations

Peers

Marko Savić
Comparison fields: 5 of 120
  • Obstetrics and Gynecology 60
  • Statistics and Probability 38
  • Statistics, Probability and Uncertainty 31
  • Information Systems and Management 15
  • Pediatrics, Perinatology and Child Health 33
Replace Peace Ossom Williamson with:
Peace Ossom Williamson United States
Ariel Deardorff United States
Joyce Lin United States
Carel F.W. Peeters Netherlands
Jacob M. Schauer United States
David Kanter United States
Guido del Pino Chile
Uğur Turhan Türkiye
Suely Ruiz Giolo Brazil
E. Walker United States
Marko Savić relative to Peace Ossom Williamson United States Peace Ossom Williamson's profile →
Citations per field
00.5×11×
Peace Ossom Williamson · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Marko Savić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marko Savić Line = papers co-authored together Marko Savić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201966
2 201759
3 201646
4 201640
5 202032
6 201329
7 202125
8 201622
9 202121
10 201915
11 201811
12 201810
13 20239
14 20178
15 20215
16 20245
17 20024
18 20201
19 20251
20
The Hybrid Education Model: Evolution of the Higher Colleges of Technology, UAE.
20191

About Marko Savić

Marko Savić is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Education, Obstetrics and Gynecology and Statistics, Probability and Uncertainty, having authored 25 papers that have together received 411 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (3 papers), Data Analysis with R (3 papers), Meta-analysis and systematic reviews (3 papers), Innovative Teaching Methods (2 papers), Data Visualization and Analytics (2 papers), Handwritten Text Recognition Techniques (2 papers), Natural Language Processing Techniques (2 papers) and Engineering Education and Curriculum Development (2 papers). The work is most often cited by research in Obstetrics and Gynecology (60 citations), Statistics and Probability (38 citations), Statistics, Probability and Uncertainty (31 citations), Information Systems and Management (15 citations) and Pediatrics, Perinatology and Child Health (33 citations). Marko Savić has collaborated with scholars based in Serbia, United States and Germany. Frequent co-authors include Nataša Milić, Vesna D. Garovic, Tracey L. Weissgerber, Stacey J. Winham, Dejana Stanisavljević, Jelena Milin‐Lazović, Mohamad Kashef, Zoran Bukumirić, Andja Ćirković and Ethan P. Heinzen. Their work appears in journals such as PLoS ONE, International Journal of Technology and Design Education, Frontiers in Bioengineering and Biotechnology, Journal of Medical Internet Research and International Journal of Environmental Research and Public Health.

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.

Explore authors with similar magnitude of impact