Julia Fitzner
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Epidemiology 10
- Influenza Virus Research Studies 7
- Data-Driven Disease Surveillance 3
-
- COVID-19 epidemiological studies 8
- Co-authors
- John Paget (3 shared papers)Siddhivinayak Hirve (2 shared papers)Katelijn Vandemaele (4 shared papers)Eduardo Azziz‐Baumgartner (2 shared papers)Laura P. Newman (1 shared paper)Wenqing Zhang (1 shared paper)Niranjan Bhat (1 shared paper)Christine Geffers (1 shared paper)
- Journals
- PLoS ONE (2 papers)Influenza and Other Respiratory Viruses (2 papers)Public Health (1 paper)The Journal of Infectious Diseases (1 paper)Journal of Hospital Infection (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Julia Fitzner
18 papers receiving 499 citations
Peers
Comparison fields: 5 of 76
- Modeling and Simulation 48
- Epidemiology 267
- Infectious Diseases 128
- Health 39
- Critical Care and Intensive Care Medicine 22
Countries citing papers authored by Julia Fitzner
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 132 | |
| 2 | 2004 | 93 | |
| 3 | 2016 | 60 | |
| 4 | 2022 | 48 | |
| 5 | 2006 | 40 | |
| 6 | 2018 | 34 | |
| 7 | 2020 | 25 | |
| 8 | 2004 | 23 | |
| 9 | 2003 | 15 | |
| 10 | 2020 | 12 | |
| 11 | 2004 | 12 | |
| 12 | 2013 | 10 | |
| 13 | 2019 | 7 | |
| 14 | 2013 | 5 | |
| 15 | 2007 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2002 | 4 | |
| 18 | 2004 | 2 | |
| 19 | 2025 | 0 |
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 531 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 (267 citations), Infectious Diseases (128 citations), Health (39 citations) and Critical Care and Intensive Care Medicine (22 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, Wenqing Zhang, Niranjan Bhat, Christine Geffers, H. Rüden and Petra Gastmeier. Their work appears in journals such as PLoS ONE, Influenza and Other Respiratory Viruses, Public Health, The Journal of Infectious Diseases and Journal of Hospital Infection.
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.