Nicolas Hengartner
- Infectious Diseases top 1%
- Modeling and Simulation top 0.1%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Global and Planetary Change top 5%
- Co-authors
- Ethan Romero-SeversonRuian KeSteven SancheYen Ting LinChonggang XuGerardo ChowellJames M. HymanCarlos Castillo‐Chávez
- Topics
- COVID-19 epidemiological studies (19 papers)Statistical Methods and Inference (16 papers)Advanced Statistical Methods and Models (12 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNature Communications
- Partner nations
- United StatesFranceCanada
In The Last Decade
Nicolas Hengartner
130 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Infectious Diseases 1.2k
- Modeling and Simulation 1.2k
- Epidemiology 448
- Public Health, Environmental and Occupational Health 382
- Global and Planetary Change 369
Countries citing papers authored by Nicolas Hengartner
This map shows the geographic impact of Nicolas Hengartner'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 Hengartner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Hengartner more than expected).
Fields of papers citing papers by Nicolas Hengartner
This network shows the impact of papers produced by Nicolas Hengartner. 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 Hengartner. The network helps show where Nicolas Hengartner may publish in the future.
Co-authorship network of co-authors of Nicolas Hengartner
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Hengartner. A scholar is included among the top collaborators of Nicolas Hengartner 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 Hengartner. Nicolas Hengartner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 6 | |
| 6 | 112 | |
| 7 | 5 | |
| 8 | 31 | |
| 9 | 1 | |
| 10 | 25 | |
| 11 | 3 | |
| 12 | 21 | |
| 13 | 13 | |
| 14 | 11 | |
| 15 | 28 | |
| 16 | ibr: Iterative bias reduction multivariate smoothing | 1 |
| 17 | 2 | |
| 18 | 12 | |
| 19 | Intelligent sensor management in nuclear searches and radiological surveys | 3 |
| 20 | Quantitative Analysis of Literary Styles | 1 |
About Nicolas Hengartner
Nicolas Hengartner is a scholar working on Modeling and Simulation, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 133 papers that have together received 4.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (19 papers), Statistical Methods and Inference (16 papers) and Advanced Statistical Methods and Models (12 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Infectious Diseases (1.2k citations) and Health (252 citations). Nicolas Hengartner has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Ethan Romero-Severson, Ruian Ke, Steven Sanche, Yen Ting Lin, Chonggang Xu, Gerardo Chowell, James M. Hyman, Carlos Castillo‐Chávez, Catherine E. Ammon and Paul W. Fenimore. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
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.