Martin Wikelski
- Ecology top 0.01%
- Ecology, Evolution, Behavior and Systematics top 0.01%
- Nature and Landscape Conservation top 0.1%
- Global and Planetary Change top 0.2%
- Ecological Modeling top 0.05%
- Co-authors
- Roland KaysRobert E. RicklefsSteven J. CookeL. Michael RomeroMichaela HauLynn B. MartinDavid S. WilcoveMargaret C. Crofoot
- Topics
- Avian ecology and behavior (169 papers)Animal Behavior and Reproduction (152 papers)Wildlife Ecology and Conservation (97 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Martin Wikelski
383 papers receiving 25.2k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Ecology 16.0k
- Ecology, Evolution, Behavior and Systematics 11.5k
- Nature and Landscape Conservation 4.4k
- Global and Planetary Change 4.1k
- Ecological Modeling 3.5k
Countries citing papers authored by Martin Wikelski
This map shows the geographic impact of Martin Wikelski'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 Martin Wikelski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Wikelski more than expected).
Fields of papers citing papers by Martin Wikelski
This network shows the impact of papers produced by Martin Wikelski. 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 Martin Wikelski. The network helps show where Martin Wikelski may publish in the future.
Co-authorship network of co-authors of Martin Wikelski
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Wikelski. A scholar is included among the top collaborators of Martin Wikelski 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 Martin Wikelski. Martin Wikelski 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 | 1 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 14 | |
| 9 | 24 | |
| 10 | 7 | |
| 11 | 27 | |
| 12 | 3 | |
| 13 | 24 | |
| 14 | 25 | |
| 15 | 13 | |
| 16 | The genomic landscape underlying phenotypic integrity in the face of gene flow in crowsbreakdown → | 399 |
| 17 | 21 | |
| 18 | 28 | |
| 19 | 180 | |
| 20 | 206 |
About Martin Wikelski
Martin Wikelski is a scholar working on Developmental Biology, Ecological Modeling and Ecology, Evolution, Behavior and Systematics, having authored 395 papers that have together received 25.9k indexed citations. Recurring topics across this work include Avian ecology and behavior (169 papers), Animal Behavior and Reproduction (152 papers) and Wildlife Ecology and Conservation (97 papers). The work is most often cited by research in Developmental Biology (2.2k citations), Ecological Modeling (3.5k citations) and Ecology (16.0k citations). Martin Wikelski has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Roland Kays, Robert E. Ricklefs, Steven J. Cooke, L. Michael Romero, Michaela Hau, Lynn B. Martin, David S. Wilcove, Margaret C. Crofoot, John C. Wingfield and Walter Jetz. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.