Nikola Anđelić
- Health Informatics top 5%
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 5
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- COVID-19 diagnosis using AI 7
- Control and Systems Engineering top 10%
- Fault Detection and Control Systems 6
- Artificial Intelligence top 10%
- AI in cancer detection 8
- Evolutionary Algorithms and Applications 6
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- Network Security and Intrusion Detection 7
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- Advanced Power Generation Technologies 5
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- Thermodynamic and Exergetic Analyses of Power and Cooling Systems 5
- Co-authors
- Ivan LorencinZlatan CarVedran MrzljakSandi Baressi ŠegotaJosip ŠpanjolMilan SágaTomislav ĆabovTijana Šušteršič
- Journals
- SHILAP Revista de lepidopterología (2 papers)Applied Energy (1 paper)Sensors (1 paper)
In The Last Decade
Nikola Anđelić
67 papers receiving 859 citations
Peers
Comparison fields: 5 of 130
- Health Informatics 34
- Modeling and Simulation 78
- Radiology, Nuclear Medicine and Imaging 166
- Control and Systems Engineering 155
- Artificial Intelligence 200
Countries citing papers authored by Nikola Anđelić
This map shows the geographic impact of Nikola Anđelić'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 Nikola Anđelić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikola Anđelić more than expected).
Fields of papers citing papers by Nikola Anđelić
This network shows the impact of papers produced by Nikola Anđelić. 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 Nikola Anđelić. The network helps show where Nikola Anđelić may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nikola Anđelić, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 23 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 34 | |
| 17 | 2021 | 10 | |
| 18 | 2021 | 17 | |
| 19 | 2019 | 9 | |
| 20 | 2019 | 26 |
About Nikola Anđelić
Nikola Anđelić is a scholar working on Modeling and Simulation, Health Informatics and Control and Systems Engineering, having authored 75 papers that have together received 899 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Network Security and Intrusion Detection (7 papers), COVID-19 diagnosis using AI (7 papers), Evolutionary Algorithms and Applications (6 papers), Fault Detection and Control Systems (6 papers), COVID-19 epidemiological studies (5 papers), Advanced Power Generation Technologies (5 papers) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (5 papers). The work is most often cited by research in Health Informatics (34 citations), Modeling and Simulation (78 citations) and Radiology, Nuclear Medicine and Imaging (166 citations). Nikola Anđelić has collaborated with scholars based in Croatia, Serbia and Slovakia. Frequent co-authors include Ivan Lorencin, Zlatan Car, Vedran Mrzljak, Sandi Baressi Šegota, Josip Španjol, Milan Sága, Tomislav Ćabov, Tijana Šušteršič, Nenad Filipović and Paolo Blecich. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Sensors.
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.