Gustaf Rydevik
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Small Animals top 5%
- Helminth infection and control
Papers in
-
- Data-Driven Disease Surveillance 4
- Influenza Virus Research Studies 3
- Mycobacterium research and diagnosis 2
-
- Animal Disease Management and Epidemiology 3
- Co-authors
- Anette Hulth (3 shared papers)Annika Linde (1 shared paper)Neil Sargison (1 shared paper)Ian Handel (3 shared papers)Stella Mazeri (1 shared paper)Mark Bronsvoort (3 shared papers)Piran C. L. White (2 shared papers)Joana Cruz (1 shared paper)
- Journals
- Frontiers in Veterinary Science (3 papers)PLoS Computational Biology (1 paper)Eurosurveillance (1 paper)Scientific Reports (1 paper)Epidemiology and Infection (1 paper)
- Partner nations
- United KingdomSwedenCameroon
In The Last Decade
Gustaf Rydevik
14 papers receiving 349 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 44
- Small Animals 58
- Parasitology 46
- Epidemiology 184
- Animal Science and Zoology 32
Countries citing papers authored by Gustaf Rydevik
This map shows the geographic impact of Gustaf Rydevik'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 Gustaf Rydevik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gustaf Rydevik more than expected).
Fields of papers citing papers by Gustaf Rydevik
This network shows the impact of papers produced by Gustaf Rydevik. 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 Gustaf Rydevik. The network helps show where Gustaf Rydevik may publish in the future.
Co-authors
The 25 scholars most cited alongside Gustaf Rydevik, 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 | 2009 | 171 | |
| 2 | 2017 | 63 | |
| 3 | 2011 | 28 | |
| 4 | 2011 | 24 | |
| 5 | 2015 | 22 | |
| 6 | 2013 | 21 | |
| 7 | 2016 | 12 | |
| 8 | 2017 | 9 | |
| 9 | 2022 | 7 | |
| 10 | 2018 | 4 | |
| 11 | [Chlamydia infection among Swedish women. Contact tracing and reporting routines must be improved]. | 2008 | 4 |
| 12 | 2018 | 3 | |
| 13 | 2020 | 1 | |
| 14 | Predicting cattle movement networks: Mycobacterium bovis spatial-genotyping versus gravity modelling | 2016 | 1 |
About Gustaf Rydevik
Gustaf Rydevik is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Small Animals and Pharmacology, having authored 14 papers that have together received 370 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (4 papers), Influenza Virus Research Studies (3 papers), Animal Disease Management and Epidemiology (3 papers), Schizophrenia research and treatment (2 papers), Mycobacterium research and diagnosis (2 papers), Treatment of Major Depression (2 papers), Agricultural safety and regulations (1 paper) and Dermatological diseases and infestations (1 paper). The work is most often cited by research in Modeling and Simulation (44 citations), Small Animals (58 citations), Parasitology (46 citations), Epidemiology (184 citations) and Animal Science and Zoology (32 citations). Gustaf Rydevik has collaborated with scholars based in United Kingdom, Sweden and Cameroon. Frequent co-authors include Anette Hulth, Annika Linde, Neil Sargison, Ian Handel, Stella Mazeri, Mark Bronsvoort, Piran C. L. White, Joana Cruz, Pedro Sarmento and Hugo Rebelo. Their work appears in journals such as Frontiers in Veterinary Science, PLoS Computational Biology, Eurosurveillance, Scientific Reports and Epidemiology and 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.