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
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- Distributed Control Multi-Agent Systems 4
- Co-authors
- Zoran Obradović (15 shared papers)Xi Hang Cao (4 shared papers)Aleksandar D. Rodic (2 shared papers)Mohamed F. Ghalwash (3 shared papers)Martin Pavlovski (5 shared papers)Gyula Mester (1 shared paper)Tihomir V Ilic (1 shared paper)Veljko Potkonjak (1 shared paper)
- Journals
- BMC Bioinformatics (2 papers)Scientific Reports (1 paper)Complexity (1 paper)Frontiers in Neurology (1 paper)Integrated Computer-Aided Engineering (1 paper)
- Partner nations
- United StatesSerbiaEgypt
In The Last Decade
Ivan Stojković
23 papers receiving 334 citations
Peers
Comparison fields: 5 of 122
- Health Information Management 20
- Health Informatics 6
- Artificial Intelligence 93
- Computer Vision and Pattern Recognition 46
- Information Systems 43
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 25 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 158 | |
| 2 | 2016 | 25 | |
| 3 | 2017 | 24 | |
| 4 | 2018 | 23 | |
| 5 | 2012 | 19 | |
| 6 | 2019 | 16 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2019 | 9 | |
| 11 | 2017 | 5 | |
| 12 | 2017 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2016 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2017 | 2 |
About Ivan Stojković
Ivan Stojković is a scholar working on Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering, Analytical Chemistry and Epidemiology, having authored 24 papers that have together received 347 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Distributed Control Multi-Agent Systems (4 papers), Sepsis Diagnosis and Treatment (3 papers), Guidance and Control Systems (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), UAV Applications and Optimization (2 papers), Web Data Mining and Analysis (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Health Information Management (20 citations), Health Informatics (6 citations), Artificial Intelligence (93 citations), Computer Vision and Pattern Recognition (46 citations) and Information Systems (43 citations). Ivan Stojković has collaborated with scholars based in United States, Serbia and Egypt. Frequent co-authors include Zoran Obradović, Xi Hang Cao, Aleksandar D. Rodic, Mohamed F. Ghalwash, Martin Pavlovski, Gyula Mester, Tihomir V Ilic, Veljko Potkonjak, José Santos-Victor and Duško Katić. Their work appears in journals such as BMC Bioinformatics, Scientific Reports, Complexity, Frontiers in Neurology and Integrated Computer-Aided Engineering.
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.