W Schulz

2.7k citations
8 papers · 1.8k · 2 hit papers · h-index 8

Impact in

Papers in

W Schulz

8 papers receiving 1.8k citations

W Schulz's Hit Papers

The State of Vaccine Confidence 2016: Global Insights Through a 67-Country Survey 2016 · 801 citations
8010+3+7Years since publication250500750

Peers

W Schulz
Comparison fields: 5 of 92
  • Health 1.6k
  • Modeling and Simulation 256
  • Infectious Diseases 779
  • Epidemiology 612
  • Sociology and Political Science 559
Replace Dominique Gagnon with:
Dominique Gagnon Canada
Matthew Z. Dudley United States
Melanie Schuster Germany
Maryse Guay Canada
Rose Wilson United Kingdom
Lisa Fressard France
Paul Bramadat Canada
D. M. Smith United Kingdom
Clarissa Simas United Kingdom
Robert A. Bednarczyk United States
W Schulz relative to Dominique Gagnon Canada Dominique Gagnon's profile →
Citations per field
00.5×1.5×
Dominique Gagnon · 1×
Citations per year

Countries citing papers authored by W Schulz

Since Specialization
Citations

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

Fields of papers citing papers by W Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
The State of Vaccine Confidence 2016: Global Insights Through a 67-Country Survey
Hit paper breakdown →
2016801
2
Measuring vaccine hesitancy: The development of a survey tool
Hit paper breakdown →
2015672
3 2015191
4 201842
5 201740
6 201825
7 201717
8 201616

About W Schulz

W Schulz is a scholar working on Health, Sociology and Political Science, Epidemiology, Infectious Diseases and Modeling and Simulation, having authored 8 papers that have together received 1.8k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (7 papers), Misinformation and Its Impacts (4 papers), Influenza Virus Research Studies (3 papers), COVID-19 epidemiological studies (3 papers), Media Influence and Politics (1 paper), Adolescent Sexual and Reproductive Health (1 paper), Viral Infections and Outbreaks Research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Health (1.6k citations), Modeling and Simulation (256 citations), Infectious Diseases (779 citations), Epidemiology (612 citations) and Sociology and Political Science (559 citations). W Schulz has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Heidi J. Larson, Pierre Verger, Alex R. Cook, Alexandre de Figueiredo, Xiahong Zhao, Iain G. Johnston, Nick S. Jones, Yuqing Zhou, Rose Wilson and Noni E. MacDonald. Their work appears in journals such as Vaccine, PLoS Currents, BMC Public Health, PLoS ONE and EBioMedicine.

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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