Susanne Gaube

971 citations
29 papers · 500 indexed · 1 hit paper · h-index 11
Topics
Artificial Intelligence in Healthcare and Education (7 papers)Infection Control in Healthcare (6 papers)COVID-19 and Mental Health (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Susanne Gaube

27 papers receiving 484 citations

Hit Papers

Do as AI say: susceptibility in deployment of clinical de...2021202620222024202150100150200

Peers

Susanne Gaube
Comparison fields: 5 of 104
  • Health Informatics 204
  • Artificial Intelligence 135
  • Radiology, Nuclear Medicine and Imaging 82
  • Social Psychology 58
  • Safety Research 54
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Kay Li Canada
S. Ayhan Çalışkan Türkiye
Leslie Sanders Canada
Sabine Salloch Germany
Alexander Smith Switzerland
Roman Schleifer Switzerland
H Aylin Sapci United States
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Jung‐Won Ahn South Korea
Robert Ranisch Germany
Susanne Gaube relative to Kay Li Canada Kay Li's profile →
Citations per field
00.5×10×13.5×
Kay Li · 1×
Citations per year

Countries citing papers authored by Susanne Gaube

Since Specialization
Citations

This map shows the geographic impact of Susanne Gaube'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 Susanne Gaube with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanne Gaube more than expected).

Fields of papers citing papers by Susanne Gaube

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susanne Gaube. 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 Susanne Gaube. The network helps show where Susanne Gaube may publish in the future.

Co-authorship network of co-authors of Susanne Gaube

This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Gaube. A scholar is included among the top collaborators of Susanne Gaube based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Susanne Gaube. Susanne Gaube is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 18
4 3
5 0
6 13
7 2
8 4
9 10
10 1
11 1
12 12
13 43
14 1
15 1
16 3
17 7
18 24
19 11
20 16

About Susanne Gaube

Susanne Gaube is a scholar working on Health Informatics, Applied Psychology and Health Information Management, having authored 29 papers that have together received 500 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (7 papers), Infection Control in Healthcare (6 papers) and COVID-19 and Mental Health (5 papers). The work is most often cited by research in Health Informatics (204 citations), Family Practice (33 citations) and Applied Psychology (40 citations). Susanne Gaube has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Eva Lermer, Martina Raue, Marzyeh Ghassemi, Errol Colak, Joseph F. Coughlin, Harini Suresh, Seth J. Berkowitz, John V. Guttag, Alexander Merritt and Anne‐Kathrin Kleine. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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