Julia E. Vogt
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Hepatology top 5%
- Hepatitis C virus research
Papers in
-
- Machine Learning in Healthcare 6
- Co-authors
- Ričards Marcinkevičs (9 shared papers)Volker Röth (10 shared papers)Michael T. Dill (4 shared papers)Luigi Terracciano (4 shared papers)Markus H. Heim (5 shared papers)Sven Wellmann (8 shared papers)Andreas Papassotiropoulos (2 shared papers)Stéphanie Bibert (2 shared papers)
- Journals
- Frontiers in Physiology (3 papers)Frontiers in Pediatrics (3 papers)Pediatric Research (2 papers)Journal of the American Medical Informatics Association (2 papers)Clinical Pharmacology & Therapeutics (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Julia E. Vogt
49 papers receiving 969 citations
Peers
Comparison fields: 5 of 146
- Health Informatics 59
- Hepatology 208
- Health Information Management 32
- Emergency Medicine 57
- Epidemiology 155
Countries citing papers authored by Julia E. Vogt
This map shows the geographic impact of Julia E. Vogt'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 Julia E. Vogt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia E. Vogt more than expected).
Fields of papers citing papers by Julia E. Vogt
This network shows the impact of papers produced by Julia E. Vogt. 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 Julia E. Vogt. The network helps show where Julia E. Vogt may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia E. Vogt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 201 | |
| 2 | 2023 | 82 | |
| 3 | 2016 | 57 | |
| 4 | 2018 | 57 | |
| 5 | 2022 | 56 | |
| 6 | 2021 | 52 | |
| 7 | 2020 | 49 | |
| 8 | 2022 | 47 | |
| 9 | 2019 | 39 | |
| 10 | 2012 | 38 | |
| 11 | 2014 | 38 | |
| 12 | 2019 | 23 | |
| 13 | 2023 | 22 | |
| 14 | 2022 | 19 | |
| 15 | 2021 | 16 | |
| 16 | 2025 | 15 | |
| 17 | 2020 | 15 | |
| 18 | 2019 | 14 | |
| 19 | 1974 | 14 | |
| 20 | 2022 | 12 |
About Julia E. Vogt
Julia E. Vogt is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Statistics and Probability, Hepatology and Surgery, having authored 59 papers that have together received 991 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (6 papers), Hepatitis C virus research (4 papers), Statistical Methods and Inference (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Appendicitis Diagnosis and Management (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Intestinal Malrotation and Obstruction Disorders (3 papers) and Clinical Reasoning and Diagnostic Skills (3 papers). The work is most often cited by research in Health Informatics (59 citations), Hepatology (208 citations), Health Information Management (32 citations), Emergency Medicine (57 citations) and Epidemiology (155 citations). Julia E. Vogt has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Ričards Marcinkevičs, Volker Röth, Michael T. Dill, Luigi Terracciano, Markus H. Heim, Sven Wellmann, Andreas Papassotiropoulos, Stéphanie Bibert, Pierre–Yves Bochud and François H.T. Duong. Their work appears in journals such as Frontiers in Physiology, Frontiers in Pediatrics, Pediatric Research, Journal of the American Medical Informatics Association and Clinical Pharmacology & Therapeutics.
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.