Patrick Großmann
Impact in
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Health Informatics top 0.2%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 18
- Co-authors
- Hugo J.W.L. AertsPhilippe LambinChintan ParmarJohan BussinkBenjamin Haibe‐KainsRalph T. H. LeijenaarEmmanuel Rios VelazquezMichelle M. Rietbergen
- Journals
- Scientific Reports (4 papers)Medical Physics (3 papers)Radiotherapy and Oncology (2 papers)Nature Communications (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Patrick Großmann
31 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Radiology, Nuclear Medicine and Imaging 6.8k
- Health Informatics 295
- Pulmonary and Respiratory Medicine 3.1k
- Otorhinolaryngology 362
- Oncology 1.4k
Countries citing papers authored by Patrick Großmann
This map shows the geographic impact of Patrick Großmann'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 Patrick Großmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Großmann more than expected).
Fields of papers citing papers by Patrick Großmann
This network shows the impact of papers produced by Patrick Großmann. 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 Patrick Großmann. The network helps show where Patrick Großmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Großmann, 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 | 2020 | 4 | |
| 2 | Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study Hit paper breakdown → | 2018 | 398 |
| 3 | 2017 | 88 | |
| 4 | 2016 | 236 | |
| 5 | 2016 | 177 | |
| 6 | 2016 | 12 | |
| 7 | Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology Hit paper breakdown → | 2016 | 299 |
| 8 | 2016 | 57 | |
| 9 | 2016 | 254 | |
| 10 | 2016 | 3 | |
| 11 | 2015 | 73 | |
| 12 | 2015 | 1 | |
| 13 | Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer Hit paper breakdown → | 2015 | 358 |
| 14 | CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma Hit paper breakdown → | 2015 | 547 |
| 15 | 2015 | 18 | |
| 16 | 2015 | 166 | |
| 17 | Machine Learning methods for Quantitative Radiomic Biomarkers Hit paper breakdown → | 2015 | 746 |
| 18 | Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer Hit paper breakdown → | 2015 | 297 |
| 19 | Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach Hit paper breakdown → | 2014 | 3646 |
| 20 | 2012 | 6 |
About Patrick Großmann
Patrick Großmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Pulmonary and Respiratory Medicine, Human Factors and Ergonomics and Genetics, having authored 31 papers that have together received 7.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), Gastric Cancer Management and Outcomes (6 papers), Glioma Diagnosis and Treatment (4 papers), Ferroptosis and cancer prognosis (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), High Temperature Alloys and Creep (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (6.8k citations), Health Informatics (295 citations), Pulmonary and Respiratory Medicine (3.1k citations), Otorhinolaryngology (362 citations) and Oncology (1.4k citations). Patrick Großmann has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Hugo J.W.L. Aerts, Philippe Lambin, Chintan Parmar, Johan Bussink, Benjamin Haibe‐Kains, Ralph T. H. Leijenaar, Emmanuel Rios Velazquez, Michelle M. Rietbergen, D. Rietveld and Robert J. Gillies. Their work appears in journals such as Scientific Reports, Medical Physics, Radiotherapy and Oncology, Nature Communications and Frontiers in Oncology.
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.