Odo Diekmann

14.6k citations
142 papers · 9.7k · 4 hit papers · h-index 43

Impact in

Papers in

Odo Diekmann

141 papers receiving 9.1k citations

Odo Diekmann's Hit Papers

Mathematical Tools for Understanding Infectious Disease Dynamics 2012 · 347 citations
3470+10+20Years since publication4008001.2k

Peers

Odo Diekmann
Comparison fields: 5 of 155
  • Modeling and Simulation 3.8k
  • Public Health, Environmental and Occupational Health 5.0k
  • Genetics 3.2k
  • Numerical Analysis 429
  • Infectious Diseases 1.2k
Replace Shigui Ruan with:
Shigui Ruan United States
Fred Brauer Canada
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Horst R. Thieme United States
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Citations per year

Countries citing papers authored by Odo Diekmann

Since Specialization
Citations

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

Fields of papers citing papers by Odo Diekmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Odo Diekmann, 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 Odo Diekmann Line = papers co-authored together Odo Diekmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation
Hit paper breakdown →
20001397
2
The construction of next-generation matrices for compartmental epidemic models
Hit paper breakdown →
20091342
3
Mathematical Epidemiology of Infectious Diseases
Hit paper breakdown →
1996565
4 1995384
5 1995350
6
Mathematical Tools for Understanding Infectious Disease Dynamics
Hit paper breakdown →
2012347
7 1978330
8 2012226
9 2006210
10 1979204
11 2008189
12 1990184
13
How does transmission of infection depend on population size
1995163
14 2001163
15 1998153
16 2005144
17 1992144
18 2003121
19
When does evolution optimize
2008115
20 1978110

About Odo Diekmann

Odo Diekmann is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Sociology and Political Science and Mathematical Physics, having authored 142 papers that have together received 9.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (80 papers), Evolution and Genetic Dynamics (52 papers), COVID-19 epidemiological studies (23 papers), Evolutionary Game Theory and Cooperation (22 papers), Mathematical Biology Tumor Growth (11 papers), Fractional Differential Equations Solutions (10 papers), Nonlinear Differential Equations Analysis (9 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). The work is most often cited by research in Modeling and Simulation (3.8k citations), Public Health, Environmental and Occupational Health (5.0k citations), Genetics (3.2k citations), Numerical Analysis (429 citations) and Infectious Diseases (1.2k citations). Odo Diekmann has collaborated with scholars based in Netherlands, Germany and Finland. Frequent co-authors include Hans Heesterbeek, Michael C. Roberts, J.A.J. Metz, Mats Gyllenberg, Sido D. Mylius, Tom Britton, M.C.M. de Jong, Stephan A. van Gils, Horst R. Thieme and Marc J. M. Bonten. Their work appears in journals such as Journal of Mathematical Biology, Mathematical Biosciences, Bulletin of Mathematical Biology, Theoretical Population Biology and Journal of Differential Equations.

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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