Lino M. Sawicki
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Biomedical Engineering
- Oncology
- Surgery
- Co-authors
- Gerald AntochLale UmutluChristian BuchbenderBenedikt M. SchaarschmidtJohannes GrueneisenPhilipp HeuschJulian KirchnerJohannes Boos
- Topics
- Medical Imaging Techniques and Applications (28 papers)Radiomics and Machine Learning in Medical Imaging (23 papers)Radiation Dose and Imaging (13 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineHealth Informatics
- Partner nations
- GermanyUnited States
In The Last Decade
Lino M. Sawicki
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 75
- Radiology, Nuclear Medicine and Imaging 957
- Pulmonary and Respiratory Medicine 540
- Biomedical Engineering 226
- Oncology 199
- Surgery 117
Countries citing papers authored by Lino M. Sawicki
This map shows the geographic impact of Lino M. Sawicki'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 Lino M. Sawicki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lino M. Sawicki more than expected).
Fields of papers citing papers by Lino M. Sawicki
This network shows the impact of papers produced by Lino M. Sawicki. 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 Lino M. Sawicki. The network helps show where Lino M. Sawicki may publish in the future.
Co-authorship network of co-authors of Lino M. Sawicki
This figure shows the co-authorship network connecting the top 25 collaborators of Lino M. Sawicki. A scholar is included among the top collaborators of Lino M. Sawicki 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 Lino M. Sawicki. Lino M. Sawicki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 21 | |
| 3 | 39 | |
| 4 | 22 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 19 | |
| 9 | 16 | |
| 10 | 18 | |
| 11 | 6 | |
| 12 | 14 | |
| 13 | 31 | |
| 14 | 59 | |
| 15 | 21 | |
| 16 | 82 | |
| 17 | 41 | |
| 18 | 6 | |
| 19 | 8 | |
| 20 | 78 |
About Lino M. Sawicki
Lino M. Sawicki is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (28 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Radiation Dose and Imaging (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (957 citations), Pulmonary and Respiratory Medicine (540 citations) and Health Informatics (10 citations). Lino M. Sawicki has collaborated with scholars based in Germany and United States. Frequent co-authors include Gerald Antoch, Lale Umutlu, Christian Buchbender, Benedikt M. Schaarschmidt, Johannes Grueneisen, Philipp Heusch, Julian Kirchner, Johannes Boos, Ken Herrmann and Verena Ruhlmann. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Journal of Nuclear Medicine.
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.