Julia Fitzner

18 papers receiving 489 citations

Peers

Julia Fitzner
Comparison fields: 5 of 73
  • Modeling and Simulation 48
  • Epidemiology 259
  • Infectious Diseases 117
  • Health 37
  • Critical Care and Intensive Care Medicine 21
Replace Juanita A. Haagsma with:
Juanita A. Haagsma Netherlands
James McMenamin United Kingdom
Gideon O. Emukule Kenya
Sarah Rhea United States
L. Finelli United States
F.A. Moraga Llop Spain
Snežana Medić Serbia
Mainga Hamaluba United Kingdom
Stephen Mac Canada
Eiichiro Sando Japan
Julia Fitzner relative to Juanita A. Haagsma Netherlands Juanita A. Haagsma's profile →
Citations per field
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Juanita A. Haagsma · 1×
Citations per year

Countries citing papers authored by Julia Fitzner

Since Specialization
Citations

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

Fields of papers citing papers by Julia Fitzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2016127
2 200492
3 201659
4 202244
5 200637
6 201834
7 202025
8 200419
9 200314
10 202012
11 200412
12 20139
13 20197
14 20075
15 20214
16 20024
17 20134
18 20042
19 20250

About Julia Fitzner

Julia Fitzner is a scholar working on Epidemiology, Modeling and Simulation, Public Health, Environmental and Occupational Health, Infectious Diseases and Health, having authored 19 papers that have together received 510 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), Influenza Virus Research Studies (7 papers), Data-Driven Disease Surveillance (3 papers), Viral Infections and Outbreaks Research (3 papers), Vaccine Coverage and Hesitancy (2 papers), Zoonotic diseases and public health (2 papers), Mosquito-borne diseases and control (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Modeling and Simulation (48 citations), Epidemiology (259 citations), Infectious Diseases (117 citations), Health (37 citations) and Critical Care and Intensive Care Medicine (21 citations). Julia Fitzner has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include John Paget, Siddhivinayak Hirve, Katelijn Vandemaele, Eduardo Azziz‐Baumgartner, Laura P. Newman, Niranjan Bhat, Wenqing Zhang, Petra Gastmeier, Christine Geffers and Frank Schwab. Their work appears in journals such as Influenza and Other Respiratory Viruses, PLoS ONE, International Journal for Quality in Health Care, Bulletin of the World Health Organization and International Journal for Equity in Health.

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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