K. P. Hadeler
- Public Health, Environmental and Occupational Health top 0.5%
- Genetics top 1%
- Modeling and Simulation top 0.2%
- Computational Theory and Mathematics top 1%
- Sociology and Political Science top 5%
- Co-authors
- H. I. FreedmanKlaus DietzFranz RotheP. van den DriesscheCarlos Castillo‐ChávezChristina KuttlerJürgen TomiukUri Liberman
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (44 papers)Evolution and Genetic Dynamics (30 papers)Nonlinear Dynamics and Pattern Formation (14 papers)
- Cited by
- Modeling and SimulationNumerical AnalysisPublic Health, Environmental and Occupational Health
- Journals
- SHILAP Revista de lepidopterologíaOecologiaLecture notes in mathematics
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
K. P. Hadeler
118 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 137
- Public Health, Environmental and Occupational Health 1.8k
- Genetics 1.3k
- Modeling and Simulation 1.0k
- Computational Theory and Mathematics 429
- Sociology and Political Science 412
Countries citing papers authored by K. P. Hadeler
This map shows the geographic impact of K. P. Hadeler'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 K. P. Hadeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. P. Hadeler more than expected).
Fields of papers citing papers by K. P. Hadeler
This network shows the impact of papers produced by K. P. Hadeler. 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 K. P. Hadeler. The network helps show where K. P. Hadeler may publish in the future.
Co-authorship network of co-authors of K. P. Hadeler
This figure shows the co-authorship network connecting the top 25 collaborators of K. P. Hadeler. A scholar is included among the top collaborators of K. P. Hadeler 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 K. P. Hadeler. K. P. Hadeler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 11 | |
| 9 | 16 | |
| 10 | 54 | |
| 11 | 55 | |
| 12 | Travelling Fronts in Random Walk Systems | 8 |
| 13 | 37 | |
| 14 | 49 | |
| 15 | 30 | |
| 16 | 170 | |
| 17 | 1 | |
| 18 | 73 | |
| 19 | 1 | |
| 20 | 36 |
About K. P. Hadeler
K. P. Hadeler is a scholar working on Modeling and Simulation, Numerical Analysis and Mathematical Physics, having authored 122 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (44 papers), Evolution and Genetic Dynamics (30 papers) and Nonlinear Dynamics and Pattern Formation (14 papers). The work is most often cited by research in Modeling and Simulation (1.0k citations), Numerical Analysis (361 citations) and Public Health, Environmental and Occupational Health (1.8k citations). K. P. Hadeler has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include H. I. Freedman, Klaus Dietz, Franz Rothe, P. van den Driessche, Carlos Castillo‐Chávez, Christina Kuttler, Jürgen Tomiuk, Uri Liberman, Angelika Wörz-Busekros and Gennady Bocharov. Their work appears in journals such as SHILAP Revista de lepidopterología, Oecologia and Lecture notes in mathematics.
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.