Ivan Stojković
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Machine Learning and Data Classification 2
-
- Gene expression and cancer classification 4
- Co-authors
- Zoran Obradović (11 shared papers)Xi Hang Cao (3 shared papers)Mohamed Ghalwash (2 shared papers)Aleksandar Rodić (2 shared papers)Tihomir Ilić (1 shared paper)José Santos-Victor (1 shared paper)Veljko Potkonjak (1 shared paper)Martin Pavlovski (3 shared papers)
- Journals
- BMC Bioinformatics (2 papers)Microchemical Journal (1 paper)Scientific Reports (1 paper)Data Mining and Knowledge Discovery (1 paper)Complexity (1 paper)
- Partner nations
- United StatesSerbiaEgypt
In The Last Decade
Ivan Stojković
18 papers receiving 251 citations
Peers
Comparison fields: 5 of 120
- Health Information Management 21
- Health Informatics 6
- Artificial Intelligence 70
- Computer Vision and Pattern Recognition 33
- Neurology 21
Countries citing papers authored by Ivan Stojković
This map shows the geographic impact of Ivan Stojković'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 Ivan Stojković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Stojković more than expected).
Fields of papers citing papers by Ivan Stojković
This network shows the impact of papers produced by Ivan Stojković. 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 Ivan Stojković. The network helps show where Ivan Stojković may publish in the future.
Co-authors
The 22 scholars most cited alongside Ivan Stojković, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 142 | |
| 2 | 2017 | 25 | |
| 3 | 2016 | 21 | |
| 4 | 2019 | 16 | |
| 5 | 2020 | 9 | |
| 6 | 2021 | 9 | |
| 7 | 2019 | 8 | |
| 8 | 2017 | 5 | |
| 9 | 2012 | 4 | |
| 10 | 2016 | 3 | |
| 11 | Distance based modeling of interactions in structured regression | 2016 | 3 |
| 12 | 2023 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 1 | |
| 18 | De vita et operibus Ioannis de Ragusio | 1961 | 1 |
| 19 | Interna i eksterna komunikacija u savremenom bankarstvu | 2013 | 1 |
| 20 | 2017 | 0 |
About Ivan Stojković
Ivan Stojković is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Epidemiology, having authored 20 papers that have together received 258 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Face and Expression Recognition (2 papers), Statistical Methods and Inference (2 papers), Distributed Control Multi-Agent Systems (2 papers), Machine Learning and Data Classification (2 papers), Recommender Systems and Techniques (2 papers), Web Data Mining and Analysis (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Information Management (21 citations), Health Informatics (6 citations), Artificial Intelligence (70 citations), Computer Vision and Pattern Recognition (33 citations) and Neurology (21 citations). Ivan Stojković has collaborated with scholars based in United States, Serbia and Egypt. Frequent co-authors include Zoran Obradović, Xi Hang Cao, Mohamed Ghalwash, Aleksandar Rodić, Tihomir Ilić, José Santos-Victor, Veljko Potkonjak, Martin Pavlovski, Vlada B. Veljković and Xiao Bai. Their work appears in journals such as BMC Bioinformatics, Microchemical Journal, Scientific Reports, Data Mining and Knowledge Discovery and Complexity.
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.