Solveig Engebretsen

1.5k total citations
22 papers, 134 citations indexed

About

Solveig Engebretsen is a scholar working on Modeling and Simulation, Ecology and Epidemiology. According to data from OpenAlex, Solveig Engebretsen has authored 22 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Modeling and Simulation, 7 papers in Ecology and 7 papers in Epidemiology. Recurrent topics in Solveig Engebretsen's work include COVID-19 epidemiological studies (10 papers), Parasite Biology and Host Interactions (6 papers) and Data-Driven Disease Surveillance (6 papers). Solveig Engebretsen is often cited by papers focused on COVID-19 epidemiological studies (10 papers), Parasite Biology and Host Interactions (6 papers) and Data-Driven Disease Surveillance (6 papers). Solveig Engebretsen collaborates with scholars based in Norway, United States and Iceland. Solveig Engebretsen's co-authors include Birgitte Freiesleben de Blasio, Kenth Engø‐Monsen, Arnoldo Frigessi, Gunnar Rø, Magne Aldrin, Peder A. Jansen, Alfonso Diz-Lois Palomares, Mohammad Abdul Aleem, Anja Bråthen Kristoffersen and Trond Rafoss and has published in prestigious journals such as PLoS ONE, Statistics in Medicine and Aquaculture.

In The Last Decade

Solveig Engebretsen

19 papers receiving 130 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Solveig Engebretsen Norway 8 48 31 28 24 12 22 134
Jean Marius Rakotondramanga Madagascar 7 30 0.6× 32 1.0× 15 0.5× 12 0.5× 7 0.6× 10 140
Steven J. Clipman United States 8 21 0.4× 39 1.3× 55 2.0× 5 0.2× 48 4.0× 22 181
Rachel K. Redmann United States 6 55 1.1× 70 2.3× 47 1.7× 2 0.1× 43 3.6× 8 252
Silvan Vesenbeckh Germany 7 93 1.9× 58 1.9× 65 2.3× 12 0.5× 28 2.3× 19 268
Ibrahima Diop Senegal 8 16 0.3× 24 0.8× 23 0.8× 51 2.1× 5 0.4× 50 205
Gigi Y.Z. Liu Hong Kong 6 46 1.0× 141 4.5× 22 0.8× 8 0.3× 30 2.5× 8 195
Saravanamuttu Gnaneshan United Kingdom 5 37 0.8× 21 0.7× 46 1.6× 13 0.5× 37 3.1× 7 141
Dustin Ortbahn United States 4 23 0.5× 28 0.9× 5 0.2× 8 0.3× 19 1.6× 4 77
Nadina Wand United Kingdom 6 25 0.5× 92 3.0× 12 0.4× 8 0.3× 19 1.6× 8 149

Countries citing papers authored by Solveig Engebretsen

Since Specialization
Citations

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

Fields of papers citing papers by Solveig Engebretsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Solveig Engebretsen

This figure shows the co-authorship network connecting the top 25 collaborators of Solveig Engebretsen. A scholar is included among the top collaborators of Solveig Engebretsen 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 Solveig Engebretsen. Solveig Engebretsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Engebretsen, Solveig, et al.. (2025). Towards a better understanding of the evacuation time of salmon lice (Lepeophtheirus salmonis) in lumpfish (Cyclopterus lumpus). Aquaculture Reports. 42. 102787–102787. 1 indexed citations
3.
Engebretsen, Solveig, et al.. (2024). Heterogeneous Weight Development of Lumpfish (Cyclopterus lumpus) Used as Cleaner Fish in Atlantic Salmon (Salmo salar) Farming. Fishes. 9(9). 336–336. 1 indexed citations
4.
Engebretsen, Solveig & Magne Aldrin. (2024). Effect of testing criteria for infectious disease surveillance: The case of COVID-19 in Norway. PLoS ONE. 19(8). e0308978–e0308978.
5.
Rø, Gunnar, J. E. Midtbø, Francesco Di Ruscio, et al.. (2024). Modeling geographic vaccination strategies for COVID-19 in Norway. PLoS Computational Biology. 20(1). e1011426–e1011426. 2 indexed citations
6.
Engebretsen, Solveig, et al.. (2024). Condition factor tailored to lumpfish (Cyclopterus lumpus) used as cleaner fish in salmonid farms. Aquaculture Reports. 35. 101996–101996. 4 indexed citations
7.
Engebretsen, Solveig, et al.. (2023). The digestion time for salmon louse (Lepeophtheirus salmonis) in lumpfish (Cyclopterus lumpus). Aquaculture. 578. 740103–740103. 5 indexed citations
8.
Storvik, Geir, Alfonso Diz-Lois Palomares, Solveig Engebretsen, et al.. (2023). A sequential Monte Carlo approach to estimate a time-varying reproduction number in infectious disease models: the Covid-19 case. Journal of the Royal Statistical Society Series A (Statistics in Society). 186(4). 616–632. 11 indexed citations
9.
Kamineni, Meghana, Kenth Engø‐Monsen, J. E. Midtbø, et al.. (2023). Effects of non-compulsory and mandatory COVID-19 interventions on travel distance and time away from home, Norway, 2021. Eurosurveillance. 28(17). 4 indexed citations
10.
Engebretsen, Solveig, Alfonso Diz-Lois Palomares, Gunnar Rø, et al.. (2023). A real-time regional model for COVID-19: Probabilistic situational awareness and forecasting. PLoS Computational Biology. 19(1). e1010860–e1010860. 11 indexed citations
11.
Storvik, Geir, Alfonso Diz-Lois Palomares, Solveig Engebretsen, et al.. (2023). Storvik, Palomares, Engebretsen, Rø, Engø-Monsen, Kristoffersen, de Blasio and Frigessi's reply to the Discussion of ‘The Second Discussion Meeting on Statistical aspects of the Covid-19 Pandemic’. Journal of the Royal Statistical Society Series A (Statistics in Society). 186(4). 653–658.
12.
Przybyła, Weronika, Ståle Nygård, Solveig Engebretsen, et al.. (2022). Whole exome sequencing of high-risk neuroblastoma identifies novel non-synonymous variants. PLoS ONE. 17(8). e0273280–e0273280. 5 indexed citations
13.
Engebretsen, Solveig, Gunnar Rø, & Birgitte Freiesleben de Blasio. (2022). A compelling demonstration of why traditional statistical regression models cannot be used to identify risk factors from case data on infectious diseases: a simulation study. BMC Medical Research Methodology. 22(1). 146–146. 7 indexed citations
14.
15.
Hellton, Kristoffer H., et al.. (2021). Real-time prediction of propulsion motor overheating using machine learning. Journal of Marine Engineering & Technology. 21(6). 334–342. 13 indexed citations
16.
Engebretsen, Solveig, et al.. (2021). Behavioural response of farmed Atlantic salmon (Salmo salar L.) to artificial underwater lights: Wavelet analysis of acoustic telemetry data. Aquacultural Engineering. 95. 102196–102196. 5 indexed citations
17.
Engebretsen, Solveig & Ingrid K. Glad. (2020). Partially linear monotone methods with automatic variable selection and monotonicity direction discovery. Statistics in Medicine. 39(25). 3549–3568. 1 indexed citations
18.
Engebretsen, Solveig, Kenth Engø‐Monsen, Arnoldo Frigessi, & Birgitte Freiesleben de Blasio. (2019). A theoretical single-parameter model for urbanisation to study infectious disease spread and interventions. PLoS Computational Biology. 15(3). e1006879–e1006879. 7 indexed citations
19.
Engebretsen, Solveig & Ingrid K. Glad. (2019). Additive monotone regression in high and lower dimensions. Project Euclid (Cornell University). 13(none). 2 indexed citations
20.
Engebretsen, Solveig, Arnoldo Frigessi, Kenth Engø‐Monsen, et al.. (2018). The peer effect on pain tolerance. Scandinavian Journal of Pain. 18(3). 467–477. 6 indexed citations

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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