Simone Scheithauer

127 papers receiving 2.8k citations

Simone Scheithauer's Hit Papers

Swarm Learning for decentralized and confidential clinical machine learning 2021 · 619 citations
6190+1+3Years since publication200400600

Peers

Simone Scheithauer
Comparison fields: 5 of 167
  • Health Informatics 94
  • General Dentistry 78
  • Infectious Diseases 837
  • Applied Microbiology and Biotechnology 76
  • Molecular Medicine 100
Replace Erica Seiguer Shenoy with:
Erica Seiguer Shenoy United States
Louise Thwaites Vietnam
Yirong Li China
Frank Hanses Germany
Hongyan Hou China
Nathan Peiffer‐Smadja France
Zhiyong Peng China
Michael Rajnik United States
Vanya A. Gant United Kingdom
René Spijker Netherlands
Simone Scheithauer relative to Erica Seiguer Shenoy United States Erica Seiguer Shenoy's profile →
Citations per field
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Erica Seiguer Shenoy · 1×
Citations per year

Countries citing papers authored by Simone Scheithauer

Since Specialization
Citations

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

Fields of papers citing papers by Simone Scheithauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simone Scheithauer, 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 Simone Scheithauer Line = papers co-authored together Simone Scheithauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Swarm Learning for decentralized and confidential clinical machine learning
Hit paper breakdown →
2021619
2 2021181
3 2020131
4 2020104
5 2018101
6 200998
7 201977
8 202073
9 202371
10 202071
11 200768
12 200967
13 201065
14 201156
15 202251
16 201543
17 201042
18 201342
19 201441
20 201038

About Simone Scheithauer

Simone Scheithauer is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine, Epidemiology, Pulmonary and Respiratory Medicine and Molecular Medicine, having authored 141 papers that have together received 2.9k indexed citations. Recurring topics across this work include Infection Control in Healthcare (27 papers), Infection Control and Ventilation (15 papers), Nosocomial Infections in ICU (10 papers), Antibiotic Resistance in Bacteria (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), COVID-19 and healthcare impacts (6 papers) and Surgical site infection prevention (5 papers). The work is most often cited by research in Health Informatics (94 citations), General Dentistry (78 citations), Infectious Diseases (837 citations), Applied Microbiology and Biotechnology (76 citations) and Molecular Medicine (100 citations). Simone Scheithauer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Sebastian Lemmen, Günter Kampf, Michael Kleines, Martin Häusler, H. Häfner, Klaus Ritter, Johannes Schiefer, Helga Haefner, Ellen Kuhlmann and Thomas Schwanz. Their work appears in journals such as Journal of Hospital Infection, Infection, American Journal of Infection Control, International Journal of Hygiene and Environmental Health and Antimicrobial Resistance and Infection Control.

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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