Kim Bjerge
- Insect Science top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Ecological Modeling top 2%
- Genetics top 10%
- Ecology top 10%
- Co-authors
- Toke T. HøyeHjalte M. R. MannJamie AlisonClaus MelvadAlexandros IosifidisKristian MeissnerJohanna ÄrjeFlorian Leese
- Topics
- Species Distribution and Climate Change (8 papers)Insect and Arachnid Ecology and Behavior (7 papers)Plant and animal studies (5 papers)
- Partner nations
- DenmarkUnited KingdomFinland
In The Last Decade
Kim Bjerge
22 papers receiving 824 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Insect Science 264
- Ecology, Evolution, Behavior and Systematics 240
- Ecological Modeling 237
- Genetics 214
- Ecology 195
Countries citing papers authored by Kim Bjerge
This map shows the geographic impact of Kim Bjerge'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 Kim Bjerge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Bjerge more than expected).
Fields of papers citing papers by Kim Bjerge
This network shows the impact of papers produced by Kim Bjerge. 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 Kim Bjerge. The network helps show where Kim Bjerge may publish in the future.
Co-authorship network of co-authors of Kim Bjerge
This figure shows the co-authorship network connecting the top 25 collaborators of Kim Bjerge. A scholar is included among the top collaborators of Kim Bjerge 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 Kim Bjerge. Kim Bjerge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | Accurate detection and identification of insects from camera trap images with deep learningbreakdown → | 60 |
| 9 | 22 | |
| 10 | Towards the fully automated monitoring of ecological communitiesbreakdown → | 136 |
| 11 | 5 | |
| 12 | 12 | |
| 13 | 11 | |
| 14 | 83 | |
| 15 | Deep learning and computer vision will transform entomologybreakdown → | 268 |
| 16 | 70 | |
| 17 | 15 | |
| 18 | 8 | |
| 19 | 3 | |
| 20 | Towards a methodology for modelling and validation of an agricultural vehicle?s dynamics and control | 2 |
About Kim Bjerge
Kim Bjerge is a scholar working on Ecological Modeling, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 25 papers that have together received 850 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (8 papers), Insect and Arachnid Ecology and Behavior (7 papers) and Plant and animal studies (5 papers). The work is most often cited by research in Ecological Modeling (237 citations), Insect Science (264 citations) and Ecology, Evolution, Behavior and Systematics (240 citations). Kim Bjerge has collaborated with scholars based in Denmark, United Kingdom and Finland. Frequent co-authors include Toke T. Høye, Hjalte M. R. Mann, Jamie Alison, Claus Melvad, Alexandros Iosifidis, Kristian Meissner, Johanna Ärje, Florian Leese, Oskar Liset Pryds Hansen and Jenni Raitoharju. Their work appears in journals such as Proceedings of the National Academy of Sciences, Ecology Letters and Sensors.
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.