Julia E. Vogt

46 papers receiving 909 citations

Peers

Julia E. Vogt
Comparison fields: 5 of 148
  • Health Informatics 77
  • Hepatology 222
  • Health Information Management 43
  • Epidemiology 218
  • Emergency Medicine 61
Replace Hyung‐Chul Lee with:
Hyung‐Chul Lee South Korea
Mauro Giuffrè Italy
Seo Young Park South Korea
Helmut Messmann Germany
Reza Mirnezami United Kingdom
Bing Li China
Zheng Ye China
Sravanthi Parasa United States
Sui Peng China
Stefan M. Niehues Germany
Julia E. Vogt relative to Hyung‐Chul Lee South Korea Hyung‐Chul Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Julia E. Vogt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Julia E. Vogt Line = papers co-authored together Julia E. Vogt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010201
2 202369
3 201856
4 201656
5 202253
6 202150
7 202047
8 202245
9 201238
10 201438
11 201935
12 201920
13 202319
14 202217
15 202114
16 197414
17 202013
18 201913
19 202212
20 201311

About Julia E. Vogt

Julia E. Vogt is a scholar working on Artificial Intelligence, Surgery, Cardiology and Cardiovascular Medicine, Statistics and Probability and Oncology, having authored 52 papers that have together received 930 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (6 papers), Cytokine Signaling Pathways and Interactions (4 papers), Hepatitis C virus research (4 papers), Intestinal Malrotation and Obstruction Disorders (3 papers), Statistical Methods and Inference (3 papers), EEG and Brain-Computer Interfaces (3 papers), Clinical Reasoning and Diagnostic Skills (3 papers) and Appendicitis Diagnosis and Management (3 papers). The work is most often cited by research in Health Informatics (77 citations), Hepatology (222 citations), Health Information Management (43 citations), Epidemiology (218 citations) and Emergency Medicine (61 citations). Julia E. Vogt has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Ričards Marcinkevičs, Volker Röth, Markus H. Heim, Michael T. Dill, Luigi Terracciano, Sven Wellmann, François H.T. Duong, Pierre–Yves Bochud, Stéphanie Bibert and Andreas Papassotiropoulos. Their work appears in journals such as Frontiers in Pediatrics, Frontiers in Physiology, Clinical Pharmacology & Therapeutics, Journal of the American Medical Informatics Association and Chemical Communications.

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.

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