Moritz U. G. Kraemer

47.6k citations
101 papers · 9.2k indexed · 9 hit papers · h-index 39

Moritz U. G. Kraemer

97 papers receiving 9.0k citations

Hit Papers

The Huanan Seafood Wholesale Mark...198201620262019202250010001.5k

Peers

Moritz U. G. Kraemer
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
Replace David M. Pigott with:
David M. Pigott United States
C. Jessica E. Metcalf United States
Stefano Merler Italy
Joacim Rocklöv Sweden
Annelies Wilder‐Smith Singapore
Caroline O. Buckee United States
Lauren Ancel Meyers United States
Alex R. Cook Singapore
Jeffrey Shaman United States
Derek A. T. Cummings United States
Moritz U. G. Kraemer relative to David M. Pigott United States David M. Pigott's profile →
Citations per field
00.5×1.5×2.1×
David M. Pigott · 1×
Citations per year

Countries citing papers authored by Moritz U. G. Kraemer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Moritz U. G. Kraemer Line = papers co-authored together Moritz U. G. Kraemer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 202434
4 20246
5 20240
6 202314
7 202311
8 20233
9 20226
10 202223
11 202115
12 20215
13 202150
14 202137
15 202083
16 2020101
17
The effect of human mobility and control measures on the COVID-19 epidemic in Chinabreakdown →
20201934
18 201840
19 2015141
20 2014275

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.

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