Nicolas Bacaër

2.7k total citations
37 papers, 1.6k citations indexed

About

Nicolas Bacaër is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Nicolas Bacaër has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Public Health, Environmental and Occupational Health, 16 papers in Genetics and 15 papers in Modeling and Simulation. Recurrent topics in Nicolas Bacaër's work include Mathematical and Theoretical Epidemiology and Ecology Models (24 papers), COVID-19 epidemiological studies (15 papers) and Evolution and Genetic Dynamics (15 papers). Nicolas Bacaër is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (24 papers), COVID-19 epidemiological studies (15 papers) and Evolution and Genetic Dynamics (15 papers). Nicolas Bacaër collaborates with scholars based in France, Benin and Republic of the Congo. Nicolas Bacaër's co-authors include Souad Guernaoui, Rachid Ouifki, Brian Williams, M. Gabriela M. Gomes, Carel Pretorius, John Stover, Lori Bollinger, Carlota Rebelo, Alessandro Margheri and Mohamed Khaladi and has published in prestigious journals such as PLoS ONE, Mathematical Biosciences and The Lancet Global Health.

In The Last Decade

Nicolas Bacaër

36 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Bacaër France 20 1.1k 745 625 367 226 37 1.6k
Jean M. Tchuenche Tanzania 29 1.6k 1.4× 1.4k 1.9× 552 0.9× 538 1.5× 216 1.0× 101 2.3k
Yicang Zhou China 22 1.4k 1.3× 1.1k 1.5× 823 1.3× 253 0.7× 222 1.0× 66 1.9k
Baojun Song United States 12 1.7k 1.6× 1.2k 1.6× 897 1.4× 396 1.1× 190 0.8× 27 2.1k
Ying‐Hen Hsieh Taiwan 26 936 0.9× 968 1.3× 427 0.7× 483 1.3× 629 2.8× 87 2.5k
Hisashi Inaba Japan 20 886 0.8× 752 1.0× 437 0.7× 144 0.4× 189 0.8× 67 1.5k
Julien Arino Canada 23 1.4k 1.3× 1.6k 2.2× 655 1.0× 542 1.5× 445 2.0× 64 2.3k
Zindoga Mukandavire Zimbabwe 23 1.1k 1.0× 1.1k 1.5× 409 0.7× 451 1.2× 355 1.6× 79 2.0k
Lisa Sattenspiel United States 22 721 0.7× 1.0k 1.4× 284 0.5× 390 1.1× 475 2.1× 55 2.1k
Calistus N. Ngonghala United States 22 808 0.7× 717 1.0× 214 0.3× 539 1.5× 137 0.6× 50 1.6k
Jan Medlock United States 27 963 0.9× 859 1.2× 260 0.4× 834 2.3× 594 2.6× 53 2.4k

Countries citing papers authored by Nicolas Bacaër

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Bacaër

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Bacaër

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Bacaër. A scholar is included among the top collaborators of Nicolas Bacaër 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 Nicolas Bacaër. Nicolas Bacaër 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.
Bacaër, Nicolas. (2019). Deux modèles de population dans un environnement périodique lent ou rapide. Journal of Mathematical Biology. 80(4). 1021–1037. 5 indexed citations
2.
Inaba, Hisashi, et al.. (2018). An age-structured epidemic model for the demographic transition. Journal of Mathematical Biology. 77(5). 1299–1339. 6 indexed citations
3.
Bacaër, Nicolas. (2016). Le modèle stochastique SIS pour une épidémie dans un environnement aléatoire. Journal of Mathematical Biology. 73(4). 847–866. 4 indexed citations
4.
Eaton, Jeffrey W., Nicolas Bacaër, Anna Bershteyn, et al.. (2015). Assessment of epidemic projections using recent HIV survey data in South Africa: a validation analysis of ten mathematical models of HIV epidemiology in the antiretroviral therapy era. The Lancet Global Health. 3(10). e598–e608. 40 indexed citations
5.
Bacaër, Nicolas, et al.. (2013). On linear birth-and-death processes in a random environment. Journal of Mathematical Biology. 69(1). 73–90. 20 indexed citations
6.
Bacaër, Nicolas. (2012). Le modèle de Kermack et McKendrick pour la peste à Bombay et la reproductivité nette d'un type avec saisonnalité. Université Pierre et Marie CURIE (UPMC).
7.
Bacaër, Nicolas, et al.. (2012). On the probability of extinction in a periodic environment. Journal of Mathematical Biology. 68(3). 533–548. 23 indexed citations
8.
Bacaër, Nicolas, et al.. (2011). Les généalogies avec saisonnalité, la reproductivité nette et la pandémie de grippe. Université Pierre et Marie CURIE (UPMC). 1 indexed citations
9.
Bacaër, Nicolas. (2011). The model of Kermack and McKendrick for the plague epidemic in Bombay and the type reproduction number with seasonality. Journal of Mathematical Biology. 64(3). 403–422. 31 indexed citations
10.
Bacaër, Nicolas, et al.. (2011). On the biological interpretation of a definition for the parameter R 0 in periodic population models. Journal of Mathematical Biology. 65(4). 601–621. 86 indexed citations
11.
Rebelo, Carlota, Alessandro Margheri, & Nicolas Bacaër. (2011). Persistence in seasonally forced epidemiological models. Journal of Mathematical Biology. 64(6). 933–949. 46 indexed citations
12.
Pretorius, Carel, John Stover, Lori Bollinger, Nicolas Bacaër, & Brian Williams. (2010). Evaluating the Cost-Effectiveness of Pre-Exposure Prophylaxis (PrEP) and Its Impact on HIV-1 Transmission in South Africa. PLoS ONE. 5(11). e13646–e13646. 100 indexed citations
13.
Bacaër, Nicolas, et al.. (2010). Genealogy with seasonality, the basic reproduction number, and the influenza pandemic. Journal of Mathematical Biology. 62(5). 741–762. 67 indexed citations
14.
Bacaër, Nicolas & M. Gabriela M. Gomes. (2009). On the Final Size of Epidemics with Seasonality. Bulletin of Mathematical Biology. 71(8). 1954–1966. 59 indexed citations
15.
Bacaër, Nicolas, et al.. (2008). Resonance of the epidemic threshold in a periodic environment. Journal of Mathematical Biology. 57(5). 649–673. 29 indexed citations
16.
Bacaër, Nicolas, et al.. (2007). On the basic reproduction number $R_0$ in sexual activity models for HIV/AIDS epidemics: Example from Yunnan, China. Mathematical Biosciences & Engineering. 4(4). 595–607. 3 indexed citations
17.
Bacaër, Nicolas. (2007). Approximation of the Basic Reproduction Number R 0 for Vector-Borne Diseases with a Periodic Vector Population. Bulletin of Mathematical Biology. 69(3). 1067–1091. 210 indexed citations
18.
Bacaër, Nicolas, et al.. (2006). Modélisation de l'épidémie de VIH/SIDA parmi les consommateurs de drogue et les travailleuses du sexe à Kunming en Chine. HAL (Le Centre pour la Communication Scientifique Directe). 20 indexed citations
19.
Bacaër, Nicolas & Souad Guernaoui. (2006). The epidemic threshold of vector-borne diseases with seasonality. Journal of Mathematical Biology. 53(3). 421–436. 353 indexed citations
20.
Bacaër, Nicolas. (2003). The asymptotic behavior of the McKendrick equation with immigration. Mathematical Population Studies. 10(1). 1–20. 4 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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