Pauline Hogeweg
- Genetics top 10%
- Molecular Biology
- Computer Networks and Communications top 10%
- Sociology and Political Science top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Rob J. de BoerAlexander V. PanfilovMaarten C. BoerlijstJ. Koek‐NoormanFlorian SiegertCornelis J. WeijerDanielle KoningsMartijn A. Huynen
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (5 papers)Immune Cell Function and Interaction (4 papers)Evolution and Genetic Dynamics (3 papers)
- Journals
- Proceedings of the Royal Society B Biological SciencesJournal of Theoretical BiologyPhysics Letters A
- Partner nations
- NetherlandsUnited StatesCzechia
In The Last Decade
Pauline Hogeweg
22 papers receiving 679 citations
Peers
Comparison fields: 5 of 102
- Genetics 238
- Molecular Biology 196
- Computer Networks and Communications 146
- Sociology and Political Science 126
- Ecology, Evolution, Behavior and Systematics 123
Countries citing papers authored by Pauline Hogeweg
This map shows the geographic impact of Pauline Hogeweg'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 Pauline Hogeweg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pauline Hogeweg more than expected).
Fields of papers citing papers by Pauline Hogeweg
This network shows the impact of papers produced by Pauline Hogeweg. 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 Pauline Hogeweg. The network helps show where Pauline Hogeweg may publish in the future.
Co-authorship network of co-authors of Pauline Hogeweg
This figure shows the co-authorship network connecting the top 25 collaborators of Pauline Hogeweg. A scholar is included among the top collaborators of Pauline Hogeweg 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 Pauline Hogeweg. Pauline Hogeweg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 61 | |
| 3 | 8 | |
| 4 | 39 | |
| 5 | 50 | |
| 6 | 16 | |
| 7 | 61 | |
| 8 | 115 | |
| 9 | 24 | |
| 10 | 10 | |
| 11 | 10 | |
| 12 | 39 | |
| 13 | 12 | |
| 14 | 27 | |
| 15 | 44 | |
| 16 | 12 | |
| 17 | 10 | |
| 18 | 86 | |
| 19 | 13 | |
| 20 | 27 |
About Pauline Hogeweg
Pauline Hogeweg is a scholar working on Modeling and Simulation, Endocrinology and Immunology, having authored 22 papers that have together received 722 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Immune Cell Function and Interaction (4 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Modeling and Simulation (53 citations), Genetics (238 citations) and Statistical and Nonlinear Physics (87 citations). Pauline Hogeweg has collaborated with scholars based in Netherlands, United States and Czechia. Frequent co-authors include Rob J. de Boer, Alexander V. Panfilov, Maarten C. Boerlijst, J. Koek‐Noorman, Florian Siegert, Cornelis J. Weijer, Danielle Konings, Martijn A. Huynen, J. van Brederode and Maarten Boersma. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Journal of Theoretical Biology and Physics Letters A.
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.