Marit Lucas
Impact in
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging
Papers in
- Surgery 4
- Bladder and Urothelial Cancer Treatments 2
- Esophageal Cancer Research and Treatment 2
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- Metabolomics and Mass Spectrometry Studies 3
- Co-authors
- Daniël M. de Bruin (12 shared papers)Henk A. Marquering (11 shared papers)Ton G. van Leeuwen (6 shared papers)C. Dilara Savci‐Heijink (10 shared papers)Sybren L. Meijer (7 shared papers)Onno J. de Boer (6 shared papers)Jorg R. Oddens (1 shared paper)Benjamin Balluff (4 shared papers)
- Journals
- Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (1 paper)American Journal Of Pathology (1 paper)European Urology Focus (1 paper)Journal of Proteomics (1 paper)Journal of Endourology (1 paper)
- Partner nations
- NetherlandsSwitzerlandSpain
In The Last Decade
Marit Lucas
13 papers receiving 341 citations
Peers
Comparison fields: 5 of 53
- Health Informatics 16
- Radiology, Nuclear Medicine and Imaging 97
- Biophysics 22
- Artificial Intelligence 118
- Pulmonary and Respiratory Medicine 85
Countries citing papers authored by Marit Lucas
This map shows the geographic impact of Marit Lucas'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 Marit Lucas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marit Lucas more than expected).
Fields of papers citing papers by Marit Lucas
This network shows the impact of papers produced by Marit Lucas. 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 Marit Lucas. The network helps show where Marit Lucas may publish in the future.
Co-authors
The 25 scholars most cited alongside Marit Lucas, 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 | 2019 | 99 | |
| 2 | 2020 | 47 | |
| 3 | 2020 | 42 | |
| 4 | 2015 | 28 | |
| 5 | 2018 | 24 | |
| 6 | 2018 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2021 | 17 | |
| 9 | 2019 | 16 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 8 | |
| 12 | 2019 | 8 | |
| 13 | Histopathological classification of precursor lesions of esophageal adenocarcinoma: A Deep Multiple Instance Learning Approach | 2018 | 5 |
About Marit Lucas
Marit Lucas is a scholar working on Surgery, Molecular Biology, Oncology, Artificial Intelligence and Spectroscopy, having authored 13 papers that have together received 345 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (3 papers), Colorectal Cancer Screening and Detection (3 papers), AI in cancer detection (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Esophageal Cancer Research and Treatment (2 papers). The work is most often cited by research in Health Informatics (16 citations), Radiology, Nuclear Medicine and Imaging (97 citations), Biophysics (22 citations), Artificial Intelligence (118 citations) and Pulmonary and Respiratory Medicine (85 citations). Marit Lucas has collaborated with scholars based in Netherlands, Switzerland and Spain. Frequent co-authors include Daniël M. de Bruin, Henk A. Marquering, Ton G. van Leeuwen, C. Dilara Savci‐Heijink, Sybren L. Meijer, Onno J. de Boer, Jorg R. Oddens, Benjamin Balluff, Ron M. A. Heeren and Jakko A. Nieuwenhuijzen. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, American Journal Of Pathology, European Urology Focus, Journal of Proteomics and Journal of Endourology.
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.