Marko Notar
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Imbalanced Data Classification Techniques 1
- Machine Learning in Healthcare 1
- Genetics 1
- Glioma Diagnosis and Treatment 1
- Co-authors
- Gregor Gunčar (3 shared papers)Matjaž Kukar (3 shared papers)Miran Brvar (2 shared papers)Peter Černelč (2 shared papers)Simon Podnar (2 shared papers)
- Partner nations
- SloveniaSwitzerland
In The Last Decade
Marko Notar
3 papers receiving 179 citations
Peers
Comparison fields: 5 of 75
- Health Informatics 26
- Health Information Management 26
- Radiology, Nuclear Medicine and Imaging 43
- Artificial Intelligence 48
- Medical Laboratory Technology 2
Countries citing papers authored by Marko Notar
This map shows the geographic impact of Marko Notar'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 Marko Notar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Notar more than expected).
Fields of papers citing papers by Marko Notar
This network shows the impact of papers produced by Marko Notar. 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 Marko Notar. The network helps show where Marko Notar may publish in the future.
Co-authors
The 5 scholars most cited alongside Marko Notar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Marko Notar
Marko Notar is a scholar working on Artificial Intelligence, Genetics, Health Information Management, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 3 papers that have together received 182 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (1 paper), Artificial Intelligence in Healthcare (1 paper), Digital Imaging for Blood Diseases (1 paper), Brain Tumor Detection and Classification (1 paper), COVID-19 diagnosis using AI (1 paper), Machine Learning in Healthcare (1 paper), Glioma Diagnosis and Treatment (1 paper) and Brain Metastases and Treatment (1 paper). The work is most often cited by research in Health Informatics (26 citations), Health Information Management (26 citations), Radiology, Nuclear Medicine and Imaging (43 citations), Artificial Intelligence (48 citations) and Medical Laboratory Technology (2 citations). Marko Notar has collaborated with scholars based in Slovenia and Switzerland. Frequent co-authors include Gregor Gunčar, Matjaž Kukar, Miran Brvar, Peter Černelč and Simon Podnar. Their work appears in journals such as Scientific Reports and Heliyon.
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.