Martin Strunga
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- General Dentistry top 2%
- Dental Research and COVID-19
Papers in
-
- Dental Radiography and Imaging 6
- Dental Implant Techniques and Outcomes 2
-
- Dental Research and COVID-19 4
- Co-authors
- Andrej Thurzo (9 shared papers)Jana Surovková (6 shared papers)Kelvin I. Afrashtehfar (1 shared paper)Ivan Varga (2 shared papers)Wanda Urbanová (1 shared paper)Veronika Kurilová (1 shared paper)Ľuboš Danišovič (2 shared papers)Zuzana Varchulová Nováková (1 shared paper)
- Journals
- Polymers (1 paper)Sensors (1 paper)Electronics (1 paper)Applied Sciences (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- SlovakiaHungarySwitzerland
In The Last Decade
Martin Strunga
9 papers receiving 459 citations
Martin Strunga's Hit Papers
Peers
Comparison fields: 5 of 86
- Health Informatics 213
- General Dentistry 63
- Oral Surgery 102
- Orthodontics 44
- Computer Science Applications 28
Countries citing papers authored by Martin Strunga
This map shows the geographic impact of Martin Strunga'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 Martin Strunga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Strunga more than expected).
Fields of papers citing papers by Martin Strunga
This network shows the impact of papers produced by Martin Strunga. 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 Martin Strunga. The network helps show where Martin Strunga may publish in the future.
Co-authors
The 12 scholars most cited alongside Martin Strunga, 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 | Impact of Artificial Intelligence on Dental Education: A Review and Guide for Curriculum Update Hit paper breakdown → | 2023 | 226 |
| 2 | Artificial Intelligence Systems Assisting in the Assessment of the Course and Retention of Orthodontic Treatment Hit paper breakdown → | 2023 | 65 |
| 3 | 2023 | 41 | |
| 4 | 2022 | 35 | |
| 5 | 2023 | 32 | |
| 6 | 2022 | 28 | |
| 7 | 2024 | 27 | |
| 8 | 2022 | 18 | |
| 9 | 2024 | 7 |
About Martin Strunga
Martin Strunga is a scholar working on Oral Surgery, General Dentistry, Public Health, Environmental and Occupational Health, Health Informatics and Biomedical Engineering, having authored 9 papers that have together received 479 indexed citations. Recurring topics across this work include Dental Radiography and Imaging (6 papers), Digital Imaging in Medicine (4 papers), Dental Research and COVID-19 (4 papers), Artificial Intelligence in Healthcare and Education (2 papers), Dental Implant Techniques and Outcomes (2 papers), Advanced X-ray and CT Imaging (1 paper), Cleft Lip and Palate Research (1 paper) and Bone Tissue Engineering Materials (1 paper). The work is most often cited by research in Health Informatics (213 citations), General Dentistry (63 citations), Oral Surgery (102 citations), Orthodontics (44 citations) and Computer Science Applications (28 citations). Martin Strunga has collaborated with scholars based in Slovakia, Hungary and Switzerland. Frequent co-authors include Andrej Thurzo, Jana Surovková, Kelvin I. Afrashtehfar, Ivan Varga, Wanda Urbanová, Veronika Kurilová, Ľuboš Danišovič, Zuzana Varchulová Nováková, Štefan Polák and Paulína Gálfiová. Their work appears in journals such as Polymers, Sensors, Electronics, Applied Sciences and International Journal of Molecular Sciences.
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.