Stanislas Rebaudet

2.9k total citations
68 papers, 1.4k citations indexed

About

Stanislas Rebaudet is a scholar working on Epidemiology, Endocrinology and Modeling and Simulation. According to data from OpenAlex, Stanislas Rebaudet has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 21 papers in Endocrinology and 15 papers in Modeling and Simulation. Recurrent topics in Stanislas Rebaudet's work include Vibrio bacteria research studies (21 papers), COVID-19 epidemiological studies (15 papers) and Data-Driven Disease Surveillance (12 papers). Stanislas Rebaudet is often cited by papers focused on Vibrio bacteria research studies (21 papers), COVID-19 epidemiological studies (15 papers) and Data-Driven Disease Surveillance (12 papers). Stanislas Rebaudet collaborates with scholars based in France, United Kingdom and Democratic Republic of the Congo. Stanislas Rebaudet's co-authors include Renaud Piarroux, Jean Gaudart, B. Faucher, Bertrand Súdre, Fares Benmiloud, Philippe Parola, Guillaume Pénaranda, Sandra Moore, Kankoé Sallah and Xin Lü and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and Scientific Reports.

In The Last Decade

Stanislas Rebaudet

62 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stanislas Rebaudet France 21 364 335 265 237 235 68 1.4k
Pablo Kuri‐Morales Mexico 20 120 0.3× 93 0.3× 48 0.2× 547 2.3× 251 1.1× 81 1.3k
Perry J.J. van Genderen Netherlands 35 351 1.0× 48 0.1× 275 1.0× 1.2k 5.3× 389 1.7× 133 3.6k
Richard A. Cash United States 21 670 1.8× 127 0.4× 92 0.3× 167 0.7× 149 0.6× 61 1.8k
Itaru Nakamura Japan 19 45 0.1× 164 0.5× 141 0.5× 98 0.4× 215 0.9× 95 1.3k
Suok Kai Chew Singapore 27 23 0.1× 864 2.6× 244 0.9× 725 3.1× 1.0k 4.4× 36 3.3k
Rahmet Güner Türkiye 20 49 0.1× 146 0.4× 64 0.2× 163 0.7× 328 1.4× 130 1.8k
Julia L. Finkelstein United States 28 50 0.1× 71 0.2× 85 0.3× 634 2.7× 226 1.0× 121 2.6k
B. Grab Switzerland 23 56 0.2× 107 0.3× 209 0.8× 652 2.8× 738 3.1× 57 2.6k
Haojie Zhong China 21 23 0.1× 113 0.3× 74 0.3× 362 1.5× 412 1.8× 80 1.3k
Gabriel Milinovich Australia 20 14 0.0× 180 0.5× 39 0.1× 303 1.3× 388 1.7× 32 1.7k

Countries citing papers authored by Stanislas Rebaudet

Since Specialization
Citations

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

Fields of papers citing papers by Stanislas Rebaudet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stanislas Rebaudet

This figure shows the co-authorship network connecting the top 25 collaborators of Stanislas Rebaudet. A scholar is included among the top collaborators of Stanislas Rebaudet 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 Stanislas Rebaudet. Stanislas Rebaudet 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.
3.
Ureña, Raquel, Sabine Camiade, Martine Piarroux, et al.. (2024). Proof of concept study on early forecasting of antimicrobial resistance in hospitalized patients using machine learning and simple bacterial ecology data. Scientific Reports. 14(1). 22683–22683. 1 indexed citations
4.
Rebaudet, Stanislas, Aung Myint Thu, Gilles Delmas, et al.. (2023). Malaria temporal dynamic clustering for surveillance and intervention planning. Epidemics. 43. 100682–100682. 5 indexed citations
5.
Ureña, Raquel, Sabine Camiade, Martine Piarroux, et al.. (2023). Leveraging Bacterial Ecology Data with Machine Learning Algorithms for Precise Prediction of Antimicrobial Resistance in Hospitalized Patients. SSRN Electronic Journal. 1 indexed citations
6.
Halfon, Philippe, Christina Psomas, Patrick Philibert, et al.. (2023). Anti-spike protein to determine SARS-CoV-2 antibody levels: Is there a specific threshold conferring protection in immunocompromised patients?. PLoS ONE. 18(4). e0281257–e0281257. 4 indexed citations
7.
Herbreteau, Vincent, Stanislas Rebaudet, Aung Myint Thu, et al.. (2023). ‘Forest malaria’ in Myanmar? Tracking transmission landscapes in a diversity of environments. Parasites & Vectors. 16(1). 324–324.
8.
Piarroux, Renaud, et al.. (2022). Cholera in Haiti. La Presse Médicale. 51(3). 104136–104136. 9 indexed citations
9.
Rétornaz, F., Stanislas Rebaudet, C. Stavris, & Yves Jammes. (2022). Long-term neuromuscular consequences of SARS-Cov-2 and their similarities with myalgic encephalomyelitis/chronic fatigue syndrome: results of the retrospective CoLGEM study. Journal of Translational Medicine. 20(1). 429–429. 22 indexed citations
10.
Gaudart, Jean, Jordi Landier, Laëtitia Huiart, et al.. (2021). Factors associated with the spatial heterogeneity of the first wave of COVID-19 in France: a nationwide geo-epidemiological study. The Lancet Public Health. 6(4). e222–e231. 67 indexed citations
11.
Jammes, Yves, Nathalie Kipson, C Charpin, et al.. (2020). Altered muscle membrane potential and redox status differentiates two subgroups of patients with chronic fatigue syndrome. Journal of Translational Medicine. 18(1). 173–173. 14 indexed citations
12.
Bénard, Angèle, María Fookes, Jérôme Ateudjieu, et al.. (2019). Whole genome sequence of Vibrio cholerae directly from dried spotted filter paper. PLoS neglected tropical diseases. 13(5). e0007330–e0007330. 6 indexed citations
13.
Sallah, Kankoé, Roch Giorgi, Linus Bengtsson, et al.. (2017). Mathematical models for predicting human mobility in the context of infectious disease spread: introducing the impedance model. International Journal of Health Geographics. 16(1). 42–42. 22 indexed citations
14.
Philibert, Patrick, Laurent Chiche, Stanislas Rebaudet, et al.. (2017). HHV8 and Kaposi's sarcoma. AIDS. 31(15). 2167–2169. 8 indexed citations
15.
Normand, Anne‐Cécile, Coralie L’Ollivier, Laurence Lachaud, et al.. (2016). Opportunistic fungal pathogen Candida glabrata circulates between humans and yellow-legged gulls. Scientific Reports. 6(1). 36157–36157. 36 indexed citations
16.
Gaudart, Jean, Drissa Coulibaly, Stanislas Rebaudet, et al.. (2015). SPODT: AnRPackage to Perform Spatial Partitioning. Journal of Statistical Software. 63(16). 9 indexed citations
17.
Moore, Sandra, Berthe Miwanda, Adodo Yao Sadji, et al.. (2015). Relationship between Distinct African Cholera Epidemics Revealed via MLVA Haplotyping of 337 Vibrio cholerae Isolates. PLoS neglected tropical diseases. 9(6). e0003817–e0003817. 19 indexed citations
18.
Rebaudet, Stanislas, et al.. (2013). Cholera Epidemiology in Mozambique Using National Surveillance Data. The Journal of Infectious Diseases. 208(suppl_1). S107–S114. 30 indexed citations
19.
Rebaudet, Stanislas, Pierre Gazin, Robert Barrais, et al.. (2013). The Dry Season in Haiti: a Window of Opportunity to Eliminate Cholera. PLoS Currents. 5. 25 indexed citations
20.
Rebaudet, Stanislas, Bertrand Súdre, B. Faucher, & Renaud Piarroux. (2013). Cholera in Coastal Africa: A Systematic Review of Its Heterogeneous Environmental Determinants. The Journal of Infectious Diseases. 208(suppl_1). S98–S106. 59 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

Breakdown of academic impact, for papers by Pablo Kuri‐Morales Breakdown of academic impact, for papers by Perry J.J. van Genderen Breakdown of academic impact, for papers by Richard A. Cash Breakdown of academic impact, for papers by Itaru Nakamura Breakdown of academic impact, for papers by Suok Kai Chew Breakdown of academic impact, for papers by Rahmet Güner Breakdown of academic impact, for papers by Julia L. Finkelstein Breakdown of academic impact, for papers by B. Grab Breakdown of academic impact, for papers by Haojie Zhong Breakdown of academic impact, for papers by Gabriel Milinovich
Rankless by CCL
2026