Maaike Swets

2.1k citations
6 papers · 90 · h-index 3

Impact in

Papers in

    • COVID-19 Clinical Research Studies 2
    • SARS-CoV-2 and COVID-19 Research 1
    • Data-Driven Disease Surveillance 1
    • Influenza Virus Research Studies 1
    • Sepsis Diagnosis and Treatment 1
    • Respiratory viral infections research 1

Maaike Swets

5 papers receiving 89 citations

Peers

Maaike Swets
Comparison fields: 5 of 32
  • Infectious Diseases 43
  • Biological Psychiatry 2
  • Neurology 11
  • Immunology 11
  • Critical Care and Intensive Care Medicine 2
Replace Hayley Hardwick with:
Hayley Hardwick United Kingdom
Mathew Thorpe United Kingdom
Saori Amiya Japan
Marta Mas Romero Spain
Ludovic Glady France
Aaron Day United States
Friederike Münn Germany
S. Reshwan K. Malahe Netherlands
Reina Hara Japan
Tamer Elhadidy Egypt
Maaike Swets relative to Hayley Hardwick United Kingdom Hayley Hardwick's profile →
Citations per field
00.5×2.8×
Hayley Hardwick · 1×
Citations per year

Countries citing papers authored by Maaike Swets

Since Specialization
Citations

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

Fields of papers citing papers by Maaike Swets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 202357
2 202028
3 20233
4 20251
5 20231
6 20240

About Maaike Swets

Maaike Swets is a scholar working on Infectious Diseases, Epidemiology, Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Information Systems, having authored 6 papers that have together received 90 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), Thermal Regulation in Medicine (1 paper), Data-Driven Disease Surveillance (1 paper), Respiratory Support and Mechanisms (1 paper), Influenza Virus Research Studies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Sepsis Diagnosis and Treatment (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Infectious Diseases (43 citations), Biological Psychiatry (2 citations), Neurology (11 citations), Immunology (11 citations) and Critical Care and Intensive Care Medicine (2 citations). Maaike Swets has collaborated with scholars based in Netherlands, United Kingdom and Greece. Frequent co-authors include Clark D Russell, J. Kenneth Baillie, Andy Law, Malcolm G. Semple, Carlo Palmieri, Dan Wootton, Thushan I. de Silva, Jonathan Millar, Nick Parkinson and Bo Wang. Their work appears in journals such as Scientific Reports, Eurosurveillance, The Annals of Thoracic Surgery, PLoS Medicine and International Journal of Infectious Diseases.

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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