H. Martin Schaefer
- Ecology, Evolution, Behavior and Systematics top 0.1%
- Nature and Landscape Conservation top 0.5%
- Plant Science top 1%
- Ecology top 1%
- Genetics top 2%
- Co-authors
- Graeme D. RuxtonCarlo CatoniGernot SegelbacherNina StobbeKatrin Böhning‐GaeseGregor RolshausenPedro JordanoMatthias Schleuning
- Topics
- Plant and animal studies (77 papers)Animal Behavior and Reproduction (36 papers)Ecology and Vegetation Dynamics Studies (33 papers)
- Cited by
- Ecology, Evolution, Behavior and SystematicsNature and Landscape ConservationEcological Modeling
- Journals
- ScienceNature CommunicationsPLoS ONE
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
H. Martin Schaefer
122 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Ecology, Evolution, Behavior and Systematics 3.7k
- Nature and Landscape Conservation 1.7k
- Plant Science 1.5k
- Ecology 1.5k
- Genetics 733
Countries citing papers authored by H. Martin Schaefer
This map shows the geographic impact of H. Martin Schaefer'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 H. Martin Schaefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Martin Schaefer more than expected).
Fields of papers citing papers by H. Martin Schaefer
This network shows the impact of papers produced by H. Martin Schaefer. 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 H. Martin Schaefer. The network helps show where H. Martin Schaefer may publish in the future.
Co-authorship network of co-authors of H. Martin Schaefer
This figure shows the co-authorship network connecting the top 25 collaborators of H. Martin Schaefer. A scholar is included among the top collaborators of H. Martin Schaefer 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 H. Martin Schaefer. H. Martin Schaefer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 14 | |
| 6 | 17 | |
| 7 | 56 | |
| 8 | 24 | |
| 9 | 55 | |
| 10 | 27 | |
| 11 | 42 | |
| 12 | 93 | |
| 13 | 40 | |
| 14 | 139 | |
| 15 | 23 | |
| 16 | 33 | |
| 17 | 2 | |
| 18 | Unlearned preference for red may facilitate recognition of palatable food in young omnivorous birds | 44 |
| 19 | 13 | |
| 20 | Metrics for optimal maintenance management | 14 |
About H. Martin Schaefer
H. Martin Schaefer is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Ecological Modeling, having authored 122 papers that have together received 5.7k indexed citations. Recurring topics across this work include Plant and animal studies (77 papers), Animal Behavior and Reproduction (36 papers) and Ecology and Vegetation Dynamics Studies (33 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (3.7k citations), Nature and Landscape Conservation (1.7k citations) and Ecological Modeling (582 citations). H. Martin Schaefer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Graeme D. Ruxton, Carlo Catoni, Gernot Segelbacher, Nina Stobbe, Katrin Böhning‐Gaese, Gregor Rolshausen, Pedro Jordano, Matthias Schleuning, Veronika Schmidt and Anne Peters. Their work appears in journals such as Science, Nature Communications and PLoS ONE.
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.