Svenn‐Erik Mamelund
- Health top 2%
- Epidemiology top 10%
- Modeling and Simulation top 1%
- General Health Professions top 5%
- Infectious Diseases top 10%
- Co-authors
- Jessica DimkaClare Shelley‐EganOle RøgebergIda DrangeVilde Hoff BernstrømMarianne A. Riise BergsakerLisa SattenspielJosé Tuells
- Topics
- Influenza Virus Research Studies (29 papers)COVID-19 epidemiological studies (20 papers)Vaccine Coverage and Hesitancy (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Epidemiology
- Partner nations
- NorwayUnited StatesPuerto Rico
In The Last Decade
Svenn‐Erik Mamelund
54 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 106
- Health 368
- Epidemiology 348
- Modeling and Simulation 281
- General Health Professions 216
- Infectious Diseases 182
Countries citing papers authored by Svenn‐Erik Mamelund
This map shows the geographic impact of Svenn‐Erik Mamelund'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 Svenn‐Erik Mamelund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Svenn‐Erik Mamelund more than expected).
Fields of papers citing papers by Svenn‐Erik Mamelund
This network shows the impact of papers produced by Svenn‐Erik Mamelund. 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 Svenn‐Erik Mamelund. The network helps show where Svenn‐Erik Mamelund may publish in the future.
Co-authorship network of co-authors of Svenn‐Erik Mamelund
This figure shows the co-authorship network connecting the top 25 collaborators of Svenn‐Erik Mamelund. A scholar is included among the top collaborators of Svenn‐Erik Mamelund based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Svenn‐Erik Mamelund. Svenn‐Erik Mamelund is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 13 | |
| 15 | 11 | |
| 16 | 13 | |
| 17 | 109 | |
| 18 | 109 | |
| 19 | Sykelighet og dødelighet ved pandemisk influensa i Norge | 0 |
| 20 | Skilsmisser i Norge 1886-1995 for kalenderår og ekteskapskohorter = Divorce in Norway 1886-1995 by calender year and marriage cohort | 8 |
About Svenn‐Erik Mamelund
Svenn‐Erik Mamelund is a scholar working on Modeling and Simulation, Health and Epidemiology, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (29 papers), COVID-19 epidemiological studies (20 papers) and Vaccine Coverage and Hesitancy (11 papers). The work is most often cited by research in Modeling and Simulation (281 citations), Health (368 citations) and Epidemiology (348 citations). Svenn‐Erik Mamelund has collaborated with scholars based in Norway, United States and Puerto Rico. Frequent co-authors include Jessica Dimka, Clare Shelley‐Egan, Ole Røgeberg, Ida Drange, Vilde Hoff Bernstrøm, Marianne A. Riise Bergsaker, Lisa Sattenspiel, José Tuells, Harald Heijbel and Eva Netterlid. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Epidemiology.
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.