Lukáš Lambert
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Advanced MRI Techniques and Applications
Papers in
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- Radiation Dose and Imaging 7
- Surgery 24
- Peripheral Artery Disease Management 6
- Tissue Engineering and Regenerative Medicine 4
- Co-authors
- Andrea Burgetová (30 shared papers)Petr Ouředníček (10 shared papers)Tomáš Grus (22 shared papers)Petr Kuchynka (17 shared papers)Giampaolo Gavelli (5 shared papers)Tomáš Paleček (11 shared papers)Vladimír Černý (8 shared papers)Jiří Jan (5 shared papers)
In The Last Decade
Lukáš Lambert
109 papers receiving 1.2k citations
Lukáš Lambert's Hit Papers
Peers
Comparison fields: 5 of 88
- Health Informatics 86
- Radiology, Nuclear Medicine and Imaging 270
- Cardiology and Cardiovascular Medicine 177
- Internal Medicine 16
- Biomaterials 60
Countries citing papers authored by Lukáš Lambert
This map shows the geographic impact of Lukáš Lambert'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 Lukáš Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukáš Lambert more than expected).
Fields of papers citing papers by Lukáš Lambert
This network shows the impact of papers produced by Lukáš Lambert. 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 Lukáš Lambert. The network helps show where Lukáš Lambert may publish in the future.
Co-authors
The 25 scholars most cited alongside Lukáš Lambert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Large-scale pancreatic cancer detection via non-contrast CT and deep learning Hit paper breakdown → | 2023 | 220 |
| 2 | 2018 | 83 | |
| 3 | 2016 | 72 | |
| 4 | 2015 | 62 | |
| 5 | 2022 | 47 | |
| 6 | 2019 | 42 | |
| 7 | 2021 | 37 | |
| 8 | 2020 | 31 | |
| 9 | 2017 | 30 | |
| 10 | 2017 | 28 | |
| 11 | 2019 | 28 | |
| 12 | 2015 | 27 | |
| 13 | 2017 | 23 | |
| 14 | 2020 | 23 | |
| 15 | 2022 | 21 | |
| 16 | 2022 | 21 | |
| 17 | 2016 | 20 | |
| 18 | 2019 | 18 | |
| 19 | 2019 | 17 | |
| 20 | 2009 | 16 |
About Lukáš Lambert
Lukáš Lambert is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 115 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiation Dose and Imaging (7 papers), Medical Imaging and Analysis (7 papers), Peripheral Artery Disease Management (6 papers), Medical Image Segmentation Techniques (5 papers), Aortic aneurysm repair treatments (4 papers), Collagen: Extraction and Characterization (4 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Cardiac tumors and thrombi (4 papers). The work is most often cited by research in Health Informatics (86 citations), Radiology, Nuclear Medicine and Imaging (270 citations), Cardiology and Cardiovascular Medicine (177 citations), Internal Medicine (16 citations) and Biomaterials (60 citations). Lukáš Lambert has collaborated with scholars based in Czechia, Italy and Spain. Frequent co-authors include Andrea Burgetová, Petr Ouředníček, Tomáš Grus, Petr Kuchynka, Giampaolo Gavelli, Tomáš Paleček, Vladimír Černý, Jiří Jan, Roman Jakubíček and Jiří Chmelík. Their work appears in journals such as BioMed Research International, Physiological Research, European Radiology, European Heart Journal - Cardiovascular Imaging and Cardiovascular Pathology.
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.