Odo Diekmann
- Modeling and Simulation top 0.02%
- COVID-19 epidemiological studies 24
- Mathematical Biology Tumor Growth 11
- Fractional Differential Equations Solutions 9
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- Mathematical and Theoretical Epidemiology and Ecology Models 79
- Genetics top 0.2%
- Evolution and Genetic Dynamics 53
- Numerical Analysis top 2%
- Infectious Diseases top 1%
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- Evolutionary Game Theory and Cooperation 21
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- Nonlinear Differential Equations Analysis 9
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- Ecosystem dynamics and resilience 8
- Co-authors
- Hans HeesterbeekMichael C. RobertsJ.A.J. MetzMats GyllenbergSido D. MyliusTom BrittonM.C.M. de JongStephan A. van Gils
- Journals
- Journal of Mathematical Biology (20 papers)Mathematical Biosciences (5 papers)Theoretical Population Biology (5 papers)
- Partner nations
- NetherlandsGermanyFinland
In The Last Decade
Odo Diekmann
139 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Modeling and Simulation 3.8k
- Public Health, Environmental and Occupational Health 4.9k
- Genetics 3.2k
- Numerical Analysis 415
- Infectious Diseases 1.3k
Countries citing papers authored by Odo Diekmann
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 12 | |
| 2 | 2020 | 4 | |
| 3 | 2012 | 217 | |
| 4 | 2012 | 19 | |
| 5 | When does evolution optimize | 2008 | 115 |
| 6 | Even in the odd cases when evolution optimizes, unrelated population dynamical details may shine through in the ESS | 2008 | 14 |
| 7 | Saumon à la Kaitala et Getz, sauce hollandaise | 1999 | 21 |
| 8 | 1998 | 150 | |
| 9 | Numerical continuation of equilibria of physiologically structured population models. I : Theory | 1997 | 3 |
| 10 | On the final size of epidemics within herds | 1995 | 5 |
| 11 | A deterministic epidemic model taking acccount of repeated contacts betweenthe same individuals | 1995 | 1 |
| 12 | The force of infection in populations of varying size: a modelling problem | 1994 | 2 |
| 13 | THE "CUMULATIVE" FORMULATION OF (PHYSIOLOGICALLY) STRUCTURED POPULATION MODELS | 1992 | 17 |
| 14 | The basic reproduction ratio for sexually transmitted diseases | 1990 | 22 |
| 15 | The basic reproduction ratio for sexually transmitted diseases, part I: theoretical considerations | 1990 | 2 |
| 16 | 1990 | 187 | |
| 17 | Modelling infectious diseases in structured populations | 1990 | 1 |
| 18 | Exact finite dimensional representations of models for physiologically structured populations | 1989 | 4 |
| 19 | Exploring linear chain trickery for physiologically structured populations | 1989 | 9 |
| 20 | Asymptotic expansion of certain numbers related to the gamma function | 1975 | 4 |
About Odo Diekmann
Odo Diekmann is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Genetics, Mathematical Physics and Numerical Analysis, having authored 140 papers that have together received 9.6k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (79 papers), Evolution and Genetic Dynamics (53 papers), COVID-19 epidemiological studies (24 papers), Evolutionary Game Theory and Cooperation (21 papers), Mathematical Biology Tumor Growth (11 papers), Nonlinear Differential Equations Analysis (9 papers), Fractional Differential Equations Solutions (9 papers) and Ecosystem dynamics and resilience (8 papers). The work is most often cited by research in Modeling and Simulation (3.8k citations), Public Health, Environmental and Occupational Health (4.9k citations), Genetics (3.2k citations), Numerical Analysis (415 citations) and Infectious Diseases (1.3k 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, Theoretical Population Biology, Bulletin of Mathematical 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.