Daniel Fitting
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Health Informatics top 10%
Papers in
- Oncology 8
- Colorectal Cancer Screening and Detection 7
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- Radiomics and Machine Learning in Medical Imaging 3
- Ultrasound Imaging and Elastography 2
- Co-authors
- Alexander Hann (7 shared papers)Joel Troya (6 shared papers)Stefan Zeuzem (9 shared papers)Frank Puppe (5 shared papers)Adrian Krenzer (5 shared papers)Christoph Sarrazin (3 shared papers)Eva Herrmann (3 shared papers)Wolfram G. Zoller (4 shared papers)
In The Last Decade
Daniel Fitting
15 papers receiving 449 citations
Peers
Comparison fields: 5 of 59
- Hepatology 145
- Health Informatics 17
- Radiology, Nuclear Medicine and Imaging 142
- Oncology 156
- Epidemiology 173
Countries citing papers authored by Daniel Fitting
This map shows the geographic impact of Daniel Fitting'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 Daniel Fitting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fitting more than expected).
Fields of papers citing papers by Daniel Fitting
This network shows the impact of papers produced by Daniel Fitting. 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 Daniel Fitting. The network helps show where Daniel Fitting may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Fitting, 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 | 2013 | 76 | |
| 2 | 2015 | 73 | |
| 3 | 2014 | 38 | |
| 4 | 2023 | 37 | |
| 5 | 2017 | 36 | |
| 6 | 2022 | 34 | |
| 7 | 2021 | 34 | |
| 8 | 2019 | 32 | |
| 9 | 2023 | 30 | |
| 10 | 2022 | 25 | |
| 11 | 2022 | 19 | |
| 12 | 2022 | 12 | |
| 13 | 2020 | 5 | |
| 14 | 2019 | 2 | |
| 15 | 2013 | 1 | |
| 16 | 2019 | 0 | |
| 17 | 2021 | 0 |
About Daniel Fitting
Daniel Fitting is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 454 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Gastric Cancer Management and Outcomes (3 papers), Image Retrieval and Classification Techniques (3 papers), AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Ultrasound Imaging and Elastography (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). The work is most often cited by research in Hepatology (145 citations), Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (142 citations), Oncology (156 citations) and Epidemiology (173 citations). Daniel Fitting has collaborated with scholars based in Germany, Italy and Romania. Frequent co-authors include Alexander Hann, Joel Troya, Stefan Zeuzem, Frank Puppe, Adrian Krenzer, Christoph Sarrazin, Eva Herrmann, Wolfram G. Zoller, Julia Dietz and Joerg Bojunga. Their work appears in journals such as Ultraschall in der Medizin - European Journal of Ultrasound, United European Gastroenterology Journal, Hepatology, Journal of Virology and Endoscopy.
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.