Dennis E. te Beest
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
-
- COVID-19 epidemiological studies 6
-
- Animal Disease Management and Epidemiology 9
- Co-authors
- Frank van den BoschM. W. ShawMichiel van BovenN. D. PaveleyJacco WallingaMarion KoopmansMariëtte HooiveldArjan Stegeman
- Journals
- Frontiers in Veterinary Science (3 papers)Applied Animal Behaviour Science (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Microbial Ecology (2 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Dennis E. te Beest
35 papers receiving 715 citations
Peers
Comparison fields: 5 of 105
- Modeling and Simulation 109
- Agronomy and Crop Science 121
- Otorhinolaryngology 49
- Small Animals 53
- Plant Science 226
Countries citing papers authored by Dennis E. te Beest
This map shows the geographic impact of Dennis E. te Beest'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 Dennis E. te Beest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis E. te Beest more than expected).
Fields of papers citing papers by Dennis E. te Beest
This network shows the impact of papers produced by Dennis E. te Beest. 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 Dennis E. te Beest. The network helps show where Dennis E. te Beest may publish in the future.
Co-authors
The 25 scholars most cited alongside Dennis E. te Beest, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 28 | |
| 9 | 2022 | 27 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 39 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 28 | |
| 14 | 2020 | 59 | |
| 15 | 2018 | 13 | |
| 16 | 2017 | 8 | |
| 17 | 2016 | 22 | |
| 18 | 2014 | 6 | |
| 19 | 2010 | 17 | |
| 20 | 2008 | 90 |
About Dennis E. te Beest
Dennis E. te Beest is a scholar working on Modeling and Simulation, Agronomy and Crop Science, Animal Science and Zoology, Small Animals and Ecology, Evolution, Behavior and Systematics, having authored 38 papers that have together received 733 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Animal Disease Management and Epidemiology (9 papers), COVID-19 epidemiological studies (6 papers), Animal Nutrition and Physiology (5 papers), Animal Behavior and Welfare Studies (5 papers), Respiratory viral infections research (4 papers), Wheat and Barley Genetics and Pathology (4 papers) and Fungal Plant Pathogen Control (4 papers). The work is most often cited by research in Modeling and Simulation (109 citations), Agronomy and Crop Science (121 citations), Otorhinolaryngology (49 citations), Small Animals (53 citations) and Plant Science (226 citations). Dennis E. te Beest has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Frank van den Bosch, M. W. Shaw, Michiel van Boven, N. D. Paveley, Jacco Wallinga, Marion Koopmans, Mariëtte Hooiveld, Arjan Stegeman, Carline van den Dool and Mark A. van de Wiel. Their work appears in journals such as Frontiers in Veterinary Science, Applied Animal Behaviour Science, PLoS ONE, Scientific Reports and Microbial Ecology.
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.