Carmen Huber

22 total papers · 1.8k total citations
7 papers, 894 citations indexed

About

Carmen Huber is a scholar working on Modeling and Simulation, Economics and Econometrics and Health. According to data from OpenAlex, Carmen Huber has authored 7 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Modeling and Simulation, 4 papers in Economics and Econometrics and 3 papers in Health. Recurrent topics in Carmen Huber's work include COVID-19 epidemiological studies (7 papers), COVID-19 Pandemic Impacts (3 papers) and Urban Transport and Accessibility (2 papers). Carmen Huber is often cited by papers focused on COVID-19 epidemiological studies (7 papers), COVID-19 Pandemic Impacts (3 papers) and Urban Transport and Accessibility (2 papers). Carmen Huber collaborates with scholars based in Canada, United States and United Kingdom. Carmen Huber's co-authors include Kamran Khan, Isaac I. Bogoch, Alexander Watts, Andrea Thomas-Bachli, Moritz U. G. Kraemer, Jean Hai Ein Yong, Ashleigh R. Tuite, Deepit Bhatia, Stephanie Morrison and Bradley J. Nelson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Travel Medicine and Spatial and Spatio-temporal Epidemiology.

In The Last Decade

Carmen Huber

6 papers receiving 869 citations

Hit Papers

Pneumonia of unknown aeti... 2020 2026 2022 2024 2020 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carmen Huber 388 305 158 107 103 7 894
Andrea Thomas-Bachli 409 1.1× 315 1.0× 160 1.0× 109 1.0× 133 1.3× 15 988
Haypheng Te 414 1.1× 167 0.5× 127 0.8× 166 1.6× 82 0.8× 7 978
Yiseul Lee 332 0.9× 554 1.8× 265 1.7× 105 1.0× 70 0.7× 6 801
Gregory Barnsley 560 1.4× 265 0.9× 81 0.5× 50 0.5× 61 0.6× 8 903
Wycliffe Enli Wei 533 1.4× 324 1.1× 87 0.6× 108 1.0× 48 0.5× 10 937
Britta L. Jewell 517 1.3× 332 1.1× 157 1.0× 76 0.7× 75 0.7× 13 883
Sulien Al Khalili 515 1.3× 184 0.6× 73 0.5× 101 0.9× 44 0.4× 7 855
Zian Zhuang 418 1.1× 564 1.8× 249 1.6× 89 0.8× 64 0.6× 27 916
Francesco Pinotti 354 0.9× 617 2.0× 332 2.1× 131 1.2× 97 0.9× 12 990
Gabriel Ribeiro dos Santos 448 1.2× 262 0.9× 84 0.5× 73 0.7× 96 0.9× 15 881

Countries citing papers authored by Carmen Huber

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Huber

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

All Works

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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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