Max Westphal
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
-
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
-
- Hepatitis B Virus Studies 2
- Liver Disease Diagnosis and Treatment 2
- Data-Driven Disease Surveillance 2
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- AI in cancer detection 2
- Co-authors
- Svenja Hardtke (2 shared papers)Michael P. Manns (2 shared papers)Heiner Wedemeyer (2 shared papers)Benjamin Heidrich (2 shared papers)Anika Wranke (2 shared papers)Birgit Bremer (2 shared papers)Werner Brannath (2 shared papers)J. Kirschner (1 shared paper)
- Journals
- Statistical Methods in Medical Research (2 papers)PLoS ONE (1 paper)HemaSphere (1 paper)European Journal of Radiology (1 paper)Hepatology (1 paper)
- Partner nations
- GermanyNetherlandsAustria
In The Last Decade
Max Westphal
14 papers receiving 206 citations
Peers
Comparison fields: 5 of 64
- Hepatology 119
- Epidemiology 134
- Health Informatics 3
- Neurology 23
- Speech and Hearing 9
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 | 2016 | 77 | |
| 2 | 2016 | 42 | |
| 3 | 2009 | 22 | |
| 4 | 2017 | 19 | |
| 5 | 2017 | 13 | |
| 6 | 2019 | 12 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 6 | |
| 9 | 2021 | 3 | |
| 10 | Improving Model Selection by Employing the Test Data | 2019 | 2 |
| 11 | 2023 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2003 | 1 | |
| 15 | 2025 | 0 |
About Max Westphal
Max Westphal is a scholar working on Epidemiology, Artificial Intelligence, Surgery, Modeling and Simulation and Hepatology, having authored 15 papers that have together received 210 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), AI in cancer detection (2 papers), Hepatitis B Virus Studies (2 papers), Statistical Methods and Inference (2 papers), Hepatitis C virus research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Statistical Methods in Clinical Trials (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Hepatology (119 citations), Epidemiology (134 citations), Health Informatics (3 citations), Neurology (23 citations) and Speech and Hearing (9 citations). Max Westphal has collaborated with scholars based in Germany, Netherlands and Austria. Frequent co-authors include Svenja Hardtke, Michael P. Manns, Heiner Wedemeyer, Benjamin Heidrich, Anika Wranke, Birgit Bremer, Werner Brannath, J. Kirschner, Katja Deterding and Markus Cornberg. Their work appears in journals such as Statistical Methods in Medical Research, PLoS ONE, HemaSphere, European Journal of Radiology and Hepatology.
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.