Max Westphal
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
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- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
-
- Machine Learning and Data Classification 2
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- Data-Driven Disease Surveillance 1
- Co-authors
- Svenja Hardtke (2 shared papers)Benjamin Heidrich (2 shared papers)Birgit Bremer (2 shared papers)Michael P. Manns (2 shared papers)Heiner Wedemeyer (2 shared papers)Anika Wranke (2 shared papers)Werner Brannath (2 shared papers)Markus Cornberg (1 shared paper)
- Journals
- Statistical Methods in Medical Research (2 papers)Hepatology (1 paper)HemaSphere (1 paper)PLoS ONE (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- GermanyNetherlandsTürkiye
In The Last Decade
Max Westphal
15 papers receiving 213 citations
Peers
Comparison fields: 5 of 54
- Hepatology 90
- Epidemiology 117
- Neurology 22
- Speech and Hearing 8
- Surgery 27
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 | 80 | |
| 2 | 2016 | 43 | |
| 3 | 2009 | 22 | |
| 4 | 2017 | 20 | |
| 5 | 2017 | 13 | |
| 6 | 2019 | 13 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 6 | |
| 9 | 2021 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 2 | |
| 12 | Improving Model Selection by Employing the Test Data | 2019 | 2 |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2003 | 1 |
About Max Westphal
Max Westphal is a scholar working on Artificial Intelligence, Epidemiology, Modeling and Simulation, Statistics and Probability and Infectious Diseases, having authored 15 papers that have together received 217 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), Statistical Methods in Clinical Trials (2 papers), Machine Learning and Data Classification (2 papers), Statistical Methods and Inference (2 papers), Adolescent and Pediatric Healthcare (1 paper), Data-Driven Disease Surveillance (1 paper), Digital Imaging for Blood Diseases (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Hepatology (90 citations), Epidemiology (117 citations), Neurology (22 citations), Speech and Hearing (8 citations) and Surgery (27 citations). Max Westphal has collaborated with scholars based in Germany, Netherlands and Türkiye. Frequent co-authors include Svenja Hardtke, Benjamin Heidrich, Birgit Bremer, Michael P. Manns, Heiner Wedemeyer, Anika Wranke, Werner Brannath, Markus Cornberg, Patrick Lehmann and Kerstin Port. Their work appears in journals such as Statistical Methods in Medical Research, Hepatology, HemaSphere, PLoS ONE and International Journal of Environmental Research and Public Health.
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.