Nicolas Hengartner

12.9k total citations · 2 hit papers
133 papers, 4.3k citations indexed

About

Nicolas Hengartner is a scholar working on Statistics and Probability, Artificial Intelligence and Modeling and Simulation. According to data from OpenAlex, Nicolas Hengartner has authored 133 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 19 papers in Modeling and Simulation. Recurrent topics in Nicolas Hengartner's work include COVID-19 epidemiological studies (19 papers), Statistical Methods and Inference (16 papers) and Advanced Statistical Methods and Models (12 papers). Nicolas Hengartner is often cited by papers focused on COVID-19 epidemiological studies (19 papers), Statistical Methods and Inference (16 papers) and Advanced Statistical Methods and Models (12 papers). Nicolas Hengartner collaborates with scholars based in United States, France and Canada. Nicolas Hengartner's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Nicolas Hengartner

130 papers receiving 4.1k citations

Hit Papers

High Contagiousness and Rapid Spread of Severe Acute Resp... 2020 2026 2022 2024 2020 2021 250 500 750

Peers

Nicolas Hengartner
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
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Citations per field, relative to Nicolas Hengartner
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Citations per year, relative to Nicolas Hengartner
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Countries citing papers authored by Nicolas Hengartner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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