Nico Stollenwerk

2.8k total citations
95 papers, 1.7k citations indexed

About

Nico Stollenwerk is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Nico Stollenwerk has authored 95 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Public Health, Environmental and Occupational Health, 53 papers in Modeling and Simulation and 31 papers in Infectious Diseases. Recurrent topics in Nico Stollenwerk's work include COVID-19 epidemiological studies (49 papers), Mathematical and Theoretical Epidemiology and Ecology Models (39 papers) and Mosquito-borne diseases and control (30 papers). Nico Stollenwerk is often cited by papers focused on COVID-19 epidemiological studies (49 papers), Mathematical and Theoretical Epidemiology and Ecology Models (39 papers) and Mosquito-borne diseases and control (30 papers). Nico Stollenwerk collaborates with scholars based in Portugal, Spain and Italy. Nico Stollenwerk's co-authors include Maíra Aguiar, Bob W. Kooi, Vincent A. A. Jansen, Scott B. Halstead, Henrik Jeldtoft Jensen, Mary Ramsay, Christopher J. Rhodes, W. John Edmunds, Sébastien Ballesteros and Alberto A. Pinto and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Nico Stollenwerk

91 papers receiving 1.7k citations

Peers

Nico Stollenwerk

PHEOH

GENET

EPIDE

Calistus N. Ngonghala United States

Jan Medlock United States

Gergely Röst Hungary

Julien Arino Canada

Gilberto González‐Parra United States

Pieter Trapman Sweden

Maíra Aguiar Portugal

Andrea Pugliese Italy

Dobromir Dimitrov United States

Jean M. Tchuenche Tanzania

Calistus N. Ngonghala United States

Nico Stollenwerk

808 ×0.8

PHEOH

717 ×0.9

539 ×0.9

214 ×0.8

GENET

137 ×0.6

EPIDE

Citations per year, relative to Nico Stollenwerk Nico Stollenwerk (= 1×) peers Calistus N. Ngonghala

Countries citing papers authored by Nico Stollenwerk

Since Specialization

Citations

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

Fields of papers citing papers by Nico Stollenwerk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nico Stollenwerk

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Srivastav, Akhil Kumar, et al.. (2025). Modeling COVID-19 dynamics in the Basque Country: characterizing population immunity profile from 2020 to 2022. BMC Infectious Diseases. 25(1). 9–9.

Stollenwerk, Nico, et al.. (2025). Evaluating the risk of mosquito-borne diseases in non-endemic regions: A dynamic modeling approach. Mathematics and Computers in Simulation. 238. 1–24. 1 indexed citations

Srivastav, Akhil Kumar, et al.. (2024). Beyond the biting - limited impact of explicit mosquito dynamics in dengue models. BMC Infectious Diseases. 24(1). 1090–1090. 1 indexed citations

Srivastav, Akhil Kumar, et al.. (2024). Within-host models unravelling the dynamics of dengue reinfections. Infectious Disease Modelling. 9(2). 458–473. 7 indexed citations

Oliva, Sergio, et al.. (2023). Symmetry in a multi-strain epidemiological model with distributed delay as a general cross-protection period and disease enhancement factor. Communications in Nonlinear Science and Numerical Simulation. 128. 107663–107663. 2 indexed citations

Aguiar, Maíra, Konstantin B. Blyuss, Damián Knopoff, et al.. (2023). Prescriptive, descriptive or predictive models: What approach should be taken when empirical data is limited? Reply to comments on “Mathematical models for Dengue fever epidemiology: A 10-year systematic review”. Physics of Life Reviews. 46. 56–64. 1 indexed citations

Stollenwerk, Nico, et al.. (2023). The effect of mixed vaccination rollout strategy: A modelling study. Infectious Disease Modelling. 8(2). 318–340. 3 indexed citations

Srivastav, Akhil Kumar, et al.. (2023). The effects of public health measures on severe dengue cases: An optimal control approach. Chaos Solitons & Fractals. 172. 113577–113577. 6 indexed citations

Srivastav, Akhil Kumar, et al.. (2023). Optimal vaccine allocation for the control of sexually transmitted infections. Journal of Mathematical Biology. 86(5). 75–75. 6 indexed citations

10.

Mar, Javier, Oliver Ibarrondo, Nico Stollenwerk, et al.. (2023). Cost-Effectiveness Analysis of Vaccines for COVID-19 According to Sex, Comorbidity and Socioeconomic Status: A Population Study. PharmacoEconomics. 42(2). 219–229. 2 indexed citations

11.

Stollenwerk, Nico, et al.. (2022). Modeling the initial phase of COVID-19 epidemic: The role of age and disease severity in the Basque Country, Spain. PLoS ONE. 17(7). e0267772–e0267772. 6 indexed citations

12.

Aguiar, Maíra & Nico Stollenwerk. (2020). Condition-specific mortality risk can explain differences in COVID-19 case fatality ratios around the globe. Public Health. 188. 18–20. 16 indexed citations

13.

Stollenwerk, Nico, et al.. (2016). Stochastic Hopf and torus bifurcations in population biology. AIP conference proceedings. 1738. 390012–390012. 1 indexed citations

14.

Aguiar, Maíra, et al.. (2016). The currently best estimate for worldwide dengue vaccine efficacy. AIP conference proceedings. 1738. 390014–390014. 5 indexed citations

15.

Kooi, Bob W., Maíra Aguiar, & Nico Stollenwerk. (2014). Analysis of an asymmetric two-strain dengue model. Mathematical Biosciences. 248. 128–139. 25 indexed citations

16.

Aguiar, Maíra, Richard Paúl, Anavaj Sakuntabhai, & Nico Stollenwerk. (2014). Are we modelling the correct dataset? Minimizing false predictions for dengue fever in Thailand. Epidemiology and Infection. 142(11). 2447–2459. 14 indexed citations

17.

Aguiar, Maíra, et al.. (2012). Understanding the effect of vector dynamics in epidemic models using center manifold analysis. AIP conference proceedings. 1479(1). 1319–1322. 4 indexed citations

18.

Stollenwerk, Nico, et al.. (2012). Dynamic noise, chaos and parameter estimation in population biology. Interface Focus. 2(2). 156–169. 32 indexed citations

19.

Kooi, Bob W., Maíra Aguiar, & Nico Stollenwerk. (2012). Bifurcation analysis of a family of multi-strain epidemiology models. Journal of Computational and Applied Mathematics. 252. 148–158. 28 indexed citations

20.

Pinto, Alberto A., et al.. (2009). A scaling analysis in the SIRI epidemiological model. Journal of Biological Dynamics. 3(5). 479–496. 13 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.

Explore authors with similar magnitude of impact