Svenn‐Erik Mamelund

124 total papers · 1.7k total citations
69 papers, 1.1k citations indexed

About

Svenn‐Erik Mamelund is a scholar working on Epidemiology, Modeling and Simulation and Health. According to data from OpenAlex, Svenn‐Erik Mamelund has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 20 papers in Modeling and Simulation and 17 papers in Health. Recurrent topics in Svenn‐Erik Mamelund's work include Influenza Virus Research Studies (29 papers), COVID-19 epidemiological studies (20 papers) and Vaccine Coverage and Hesitancy (11 papers). Svenn‐Erik Mamelund is often cited by papers focused on Influenza Virus Research Studies (29 papers), COVID-19 epidemiological studies (20 papers) and Vaccine Coverage and Hesitancy (11 papers). Svenn‐Erik Mamelund collaborates with scholars based in Norway, United States and United Kingdom. Svenn‐Erik Mamelund's co-authors include Jessica Dimka, Ole Røgeberg, Clare Shelley‐Egan, Vilde Hoff Bernstrøm, Ida Drange, Marianne A. Riise Bergsaker, Lisa Sattenspiel, Eva Netterlid, Mary Robinson and Siddharth Chandra and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Epidemiology.

In The Last Decade

Svenn‐Erik Mamelund

54 papers receiving 993 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Svenn‐Erik Mamelund 368 347 280 214 181 69 1.1k
Haruka Sakamoto 302 0.8× 282 0.8× 204 0.7× 128 0.6× 294 1.6× 68 1.5k
Jonathan Jay 322 0.9× 171 0.5× 143 0.5× 230 1.1× 147 0.8× 46 1.1k
Supriya Kumar 326 0.9× 237 0.7× 270 1.0× 267 1.2× 155 0.9× 30 1.4k
Amanda Kvalsvig 166 0.5× 149 0.4× 327 1.2× 281 1.3× 285 1.6× 48 1.4k
Dennis M. Feehan 156 0.4× 354 1.0× 280 1.0× 248 1.2× 191 1.1× 23 1.0k
Ana Paula Sayuri Sato 542 1.5× 404 1.2× 77 0.3× 274 1.3× 225 1.2× 77 1.3k
Svetla Tsolova 265 0.7× 274 0.8× 122 0.4× 361 1.7× 217 1.2× 39 1.1k
Brian Honermann 297 0.8× 207 0.6× 245 0.9× 397 1.9× 306 1.7× 23 1.3k
Ayesha Khan 144 0.4× 219 0.6× 141 0.5× 178 0.8× 195 1.1× 40 947
Niyi Awofeso 243 0.7× 232 0.7× 75 0.3× 292 1.4× 203 1.1× 77 1.1k

Countries citing papers authored by Svenn‐Erik Mamelund

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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