Michael Ingrisch
- Health Informatics top 0.2%
-
- MRI in cancer diagnosis 39
- Radiomics and Machine Learning in Medical Imaging 38
- Advanced MRI Techniques and Applications 30
- Medical Imaging Techniques and Applications 12
- COVID-19 diagnosis using AI 11
- Advanced Neuroimaging Techniques and Applications 9
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 15
- Genetics top 10%
- Neurology top 10%
-
- Atomic and Subatomic Physics Research 9
- Co-authors
- Maximilian F. ReiserSteven SourbronOlaf DietrichJens RickeBastian O. SabelAxel SiefertKarin A. HerrmannKonstantin Nikolaou
- Journals
- Investigative Radiology (16 papers)RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (9 papers)European Radiology (5 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Michael Ingrisch
115 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Health Informatics 327
- Radiology, Nuclear Medicine and Imaging 1.6k
- Hepatology 145
- Genetics 152
- Neurology 116
Countries citing papers authored by Michael Ingrisch
This map shows the geographic impact of Michael Ingrisch'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 Michael Ingrisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ingrisch more than expected).
Fields of papers citing papers by Michael Ingrisch
This network shows the impact of papers produced by Michael Ingrisch. 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 Michael Ingrisch. The network helps show where Michael Ingrisch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Ingrisch, 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 | 2024 | 2 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 5 | |
| 9 | ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reportsbreakdown → | 2023 | 318 |
| 10 | 2022 | 5 | |
| 11 | 2021 | 30 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 21 | |
| 14 | 2021 | 37 | |
| 15 | 2021 | 16 | |
| 16 | 2019 | 167 | |
| 17 | 2018 | 21 | |
| 18 | 2012 | 79 | |
| 19 | 2012 | 21 | |
| 20 | 2011 | 20 |
About Michael Ingrisch
Michael Ingrisch is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 122 papers that have together received 2.8k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (39 papers), Radiomics and Machine Learning in Medical Imaging (38 papers), Advanced MRI Techniques and Applications (30 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Medical Imaging Techniques and Applications (12 papers), COVID-19 diagnosis using AI (11 papers), Atomic and Subatomic Physics Research (9 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). The work is most often cited by research in Health Informatics (327 citations), Radiology, Nuclear Medicine and Imaging (1.6k citations) and Hepatology (145 citations). Michael Ingrisch has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Maximilian F. Reiser, Steven Sourbron, Olaf Dietrich, Jens Ricke, Bastian O. Sabel, Axel Siefert, Karin A. Herrmann, Konstantin Nikolaou, Balthasar Schachtner and Philipp Wesp. Their work appears in journals such as Investigative Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, European Radiology, European Journal of Radiology and Magnetic Resonance in 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.