V. Miskovic
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Radiomics and Machine Learning in Medical Imaging 2
- COVID-19 diagnosis using AI 1
-
- Graphene and Nanomaterials Applications 2
- 3D Printing in Biomedical Research 2
- Laser-Ablation Synthesis of Nanoparticles 1
- Co-authors
- Carlo Saverio Iorio (8 shared papers)Carolina Varon (4 shared papers)Alessandra Pedrocchi (3 shared papers)Kirthika Senthil Kumar (1 shared paper)Arsela Prelaj (4 shared papers)Christophe Minetti (4 shared papers)M.D. Maksimović (1 shared paper)Dean Ho (1 shared paper)
- Journals
- Frontiers in Bioengineering and Biotechnology (2 papers)Journal of Clinical Oncology (1 paper)Materials Chemistry and Physics (1 paper)American Society of Clinical Oncology Educational Book (1 paper)Annals of Oncology (1 paper)
- Partner nations
- BelgiumItalyUnited States
In The Last Decade
V. Miskovic
13 papers receiving 105 citations
Peers
Comparison fields: 5 of 62
- Health Informatics 14
- Molecular Medicine 5
- Biomedical Engineering 37
- Automotive Engineering 8
- Cancer Research 8
Countries citing papers authored by V. Miskovic
This map shows the geographic impact of V. Miskovic'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 V. Miskovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Miskovic more than expected).
Fields of papers citing papers by V. Miskovic
This network shows the impact of papers produced by V. Miskovic. 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 V. Miskovic. The network helps show where V. Miskovic may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Miskovic, 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 | 2023 | 37 | |
| 2 | 2022 | 16 | |
| 3 | 2022 | 15 | |
| 4 | 1985 | 9 | |
| 5 | 2018 | 9 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 4 | |
| 9 | 2018 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 1 |
About V. Miskovic
V. Miskovic is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Physiology, Health Informatics and Artificial Intelligence, having authored 13 papers that have together received 108 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Graphene and Nanomaterials Applications (2 papers), Thermoregulation and physiological responses (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), 3D Printing in Biomedical Research (2 papers), AI in cancer detection (2 papers), COVID-19 diagnosis using AI (1 paper) and Laser-Ablation Synthesis of Nanoparticles (1 paper). The work is most often cited by research in Health Informatics (14 citations), Molecular Medicine (5 citations), Biomedical Engineering (37 citations), Automotive Engineering (8 citations) and Cancer Research (8 citations). V. Miskovic has collaborated with scholars based in Belgium, Italy and United States. Frequent co-authors include Carlo Saverio Iorio, Carolina Varon, Alessandra Pedrocchi, Kirthika Senthil Kumar, Arsela Prelaj, Christophe Minetti, M.D. Maksimović, Dean Ho, Raghav Sundar and Alexander T. Pearson. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Journal of Clinical Oncology, Materials Chemistry and Physics, American Society of Clinical Oncology Educational Book and Annals of Oncology.
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.