Karolis Šablauskas
- Co-authors
- Tumas BeinortasLaimonas GriškevičiusKazimieras ManeikisDaniel NaumovasValdas PečeliūnasChristian GilissenLisenka E.L.M. VissersMichael Kwint
- Topics
- Radiomics and Machine Learning in Medical Imaging (2 papers)SARS-CoV-2 and COVID-19 Research (2 papers)COVID-19 Clinical Research Studies (2 papers)
- Cited by
- Infectious DiseasesOncologyHealth
- Partner nations
- LithuaniaUnited KingdomNetherlands
In The Last Decade
Karolis Šablauskas
7 papers receiving 173 citations
Peers
Comparison fields: 5 of 38
- Infectious Diseases 132
- Oncology 75
- Immunology 39
- Health 19
- Molecular Biology 18
Countries citing papers authored by Karolis Šablauskas
This map shows the geographic impact of Karolis Šablauskas'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 Karolis Šablauskas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karolis Šablauskas more than expected).
Fields of papers citing papers by Karolis Šablauskas
This network shows the impact of papers produced by Karolis Šablauskas. 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 Karolis Šablauskas. The network helps show where Karolis Šablauskas may publish in the future.
Co-authorship network of co-authors of Karolis Šablauskas
This figure shows the co-authorship network connecting the top 25 collaborators of Karolis Šablauskas. A scholar is included among the top collaborators of Karolis Šablauskas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karolis Šablauskas. Karolis Šablauskas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 11 | |
| 5 | 142 | |
| 6 | 2 | |
| 7 | 3 |
About Karolis Šablauskas
Karolis Šablauskas is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 175 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (132 citations), Oncology (75 citations) and Health (19 citations). Karolis Šablauskas has collaborated with scholars based in Lithuania, United Kingdom and Netherlands. Frequent co-authors include Tumas Beinortas, Laimonas Griškevičius, Kazimieras Maneikis, Daniel Naumovas, Valdas Pečeliūnas, Christian Gilissen, Lisenka E.L.M. Vissers, Michael Kwint, Miguel J. Xavier and Marcel van Gerven. Their work appears in journals such as Science, Nucleic Acids Research and European Heart Journal.
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.