Tijana Šušteršič
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Automotive Engineering
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Co-authors
- Nenad FilipovićSvetlana IbrićIvan LorencinSandi Baressi ŠegotaDjordje MedarevićJelena DjurišNikola AnđelićTomislav Ćabov
- Topics
- COVID-19 diagnosis using AI (9 papers)Spine and Intervertebral Disc Pathology (5 papers)COVID-19 epidemiological studies (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Environmental Research and Public HealthEuropean Journal of Pharmaceutical Sciences
In The Last Decade
Tijana Šušteršič
34 papers receiving 321 citations
Peers
Comparison fields: 5 of 102
- Biomedical Engineering 124
- Radiology, Nuclear Medicine and Imaging 61
- Automotive Engineering 39
- Pulmonary and Respiratory Medicine 38
- Artificial Intelligence 33
Countries citing papers authored by Tijana Šušteršič
This map shows the geographic impact of Tijana Šušteršič'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 Tijana Šušteršič with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tijana Šušteršič more than expected).
Fields of papers citing papers by Tijana Šušteršič
This network shows the impact of papers produced by Tijana Šušteršič. 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 Tijana Šušteršič. The network helps show where Tijana Šušteršič may publish in the future.
Co-authorship network of co-authors of Tijana Šušteršič
This figure shows the co-authorship network connecting the top 25 collaborators of Tijana Šušteršič. A scholar is included among the top collaborators of Tijana Šušteršič 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 Tijana Šušteršič. Tijana Šušteršič 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 | 20 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 5 | |
| 11 | 34 | |
| 12 | 6 | |
| 13 | 22 | |
| 14 | 10 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 44 | |
| 20 | 25 |
About Tijana Šušteršič
Tijana Šušteršič is a scholar working on Modeling and Simulation, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 324 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (9 papers), Spine and Intervertebral Disc Pathology (5 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Health Informatics (23 citations), Modeling and Simulation (28 citations) and Pharmaceutical Science (20 citations). Tijana Šušteršič has collaborated with scholars based in Serbia, Croatia and Russia. Frequent co-authors include Nenad Filipović, Svetlana Ibrić, Ivan Lorencin, Sandi Baressi Šegota, Djordje Medarević, Jelena Djuriš, Nikola Anđelić, Tomislav Ćabov, Zlatan Car and Sandra Cvijić. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and European Journal of Pharmaceutical Sciences.
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.