Max Westphal
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Health Informatics top 10%
Papers in
-
- COVID-19 epidemiological studies 2
-
- Machine Learning and Data Classification 2
- AI in cancer detection 2
- Anomaly Detection Techniques and Applications 1
- Co-authors
- Benjamin Heidrich (2 shared papers)Anika Wranke (2 shared papers)Svenja Hardtke (2 shared papers)Michael Peter Manns (2 shared papers)Birgit Bremer (2 shared papers)Heiner H. Wedemeyer (2 shared papers)Werner Brannath (2 shared papers)Patrick Lehmann (1 shared paper)
- Journals
- Hepatology (2 papers)Statistical Methods in Medical Research (2 papers)International Journal of Computer Assisted Radiology and Surgery (1 paper)Liver International (1 paper)European Journal of Radiology (1 paper)
- Partner nations
- GermanyNetherlandsItaly
In The Last Decade
Max Westphal
18 papers receiving 427 citations
Peers
Comparison fields: 5 of 79
- Hepatology 118
- Health Informatics 15
- Epidemiology 175
- Neurology 29
- Radiology, Nuclear Medicine and Imaging 31
Countries citing papers authored by Max Westphal
This map shows the geographic impact of Max Westphal'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 Max Westphal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Westphal more than expected).
Fields of papers citing papers by Max Westphal
This network shows the impact of papers produced by Max Westphal. 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 Max Westphal. The network helps show where Max Westphal may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Westphal, 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 | 2022 | 97 | |
| 2 | 2016 | 95 | |
| 3 | 2022 | 53 | |
| 4 | 2016 | 48 | |
| 5 | 2023 | 28 | |
| 6 | 2009 | 24 | |
| 7 | 2017 | 24 | |
| 8 | 2017 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 9 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2021 | 3 | |
| 15 | Improving Model Selection by Employing the Test Data | 2019 | 2 |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2003 | 1 | |
| 19 | 2026 | 0 |
About Max Westphal
Max Westphal is a scholar working on Modeling and Simulation, Artificial Intelligence, Statistics and Probability, Epidemiology and Health Informatics, having authored 19 papers that have together received 432 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (2 papers), Statistical Methods in Clinical Trials (2 papers), COVID-19 epidemiological studies (2 papers), Statistical Methods and Inference (2 papers), Liver Disease Diagnosis and Treatment (2 papers), AI in cancer detection (2 papers), Digital Imaging for Blood Diseases (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Hepatology (118 citations), Health Informatics (15 citations), Epidemiology (175 citations), Neurology (29 citations) and Radiology, Nuclear Medicine and Imaging (31 citations). Max Westphal has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Benjamin Heidrich, Anika Wranke, Svenja Hardtke, Michael Peter Manns, Birgit Bremer, Heiner H. Wedemeyer, Werner Brannath, Patrick Lehmann, J. Kirschner and Markus Cornberg. Their work appears in journals such as Hepatology, Statistical Methods in Medical Research, International Journal of Computer Assisted Radiology and Surgery, Liver International and European Journal of Radiology.
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.