Moritz U. G. Kraemer
- Modeling and Simulation top 0.02%
- COVID-19 epidemiological studies 55
- Infectious Diseases top 0.2%
- Viral Infections and Vectors 30
- Viral Infections and Outbreaks Research 17
-
- Mosquito-borne diseases and control 44
- Zoonotic diseases and public health 16
- Malaria Research and Control 13
- Transportation top 0.5%
- Economics and Econometrics top 0.5%
- COVID-19 Pandemic Impacts 10
-
- Data-Driven Disease Surveillance 19
- Co-authors
- David M. PigottJohn S. BrownsteinKamran KhanSimon I HayBernardo GutiérrezOliver J. BradyIsaac I. BogochAlexander Watts
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- Science (4 papers)Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Moritz U. G. Kraemer
97 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Modeling and Simulation 3.9k
- Infectious Diseases 3.5k
- Public Health, Environmental and Occupational Health 3.6k
- Transportation 690
- Economics and Econometrics 1.5k
Countries citing papers authored by Moritz U. G. Kraemer
This map shows the geographic impact of Moritz U. G. Kraemer'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 Moritz U. G. Kraemer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz U. G. Kraemer more than expected).
Fields of papers citing papers by Moritz U. G. Kraemer
This network shows the impact of papers produced by Moritz U. G. Kraemer. 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 Moritz U. G. Kraemer. The network helps show where Moritz U. G. Kraemer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Moritz U. G. Kraemer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 34 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 23 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 50 | |
| 14 | 2021 | 37 | |
| 15 | 2020 | 83 | |
| 16 | 2020 | 101 | |
| 17 | The effect of human mobility and control measures on the COVID-19 epidemic in Chinabreakdown → | 2020 | 1934 |
| 18 | 2018 | 40 | |
| 19 | 2015 | 141 | |
| 20 | 2014 | 275 |
About Moritz U. G. Kraemer
Moritz U. G. Kraemer is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 101 papers that have together received 9.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (55 papers), Mosquito-borne diseases and control (44 papers), Viral Infections and Vectors (30 papers), Data-Driven Disease Surveillance (19 papers), Viral Infections and Outbreaks Research (17 papers), Zoonotic diseases and public health (16 papers), Malaria Research and Control (13 papers) and COVID-19 Pandemic Impacts (10 papers). The work is most often cited by research in Modeling and Simulation (3.9k citations), Infectious Diseases (3.5k citations) and Public Health, Environmental and Occupational Health (3.6k citations). Moritz U. G. Kraemer has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include David M. Pigott, John S. Brownstein, Kamran Khan, Simon I Hay, Bernardo Gutiérrez, Oliver J. Brady, Isaac I. Bogoch, Alexander Watts, Samuel V. Scarpino and Oliver G. Pybus. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.