Martin Mayerhofer
- Agronomy and Crop Science top 5%
- Small Animals top 5%
- Genetics
- Animal Science and Zoology top 10%
- Food Science
- Co-authors
- C. Egger-DannerBirgit Fuerst‐WaltlW. ObritzhauserHermann SchwarzenbacherA. KoeckC. FuerstL. GruberAnnemarie Käsbohrer
- Topics
- Genetic and phenotypic traits in livestock (10 papers)Reproductive Physiology in Livestock (5 papers)Effects of Environmental Stressors on Livestock (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Dairy ScienceThe Veterinary Journal
- Partner nations
- AustriaGermanySwitzerland
In The Last Decade
Martin Mayerhofer
24 papers receiving 242 citations
Peers
Comparison fields: 5 of 63
- Agronomy and Crop Science 125
- Small Animals 90
- Genetics 88
- Animal Science and Zoology 74
- Food Science 24
Countries citing papers authored by Martin Mayerhofer
This map shows the geographic impact of Martin Mayerhofer'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 Mayerhofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Mayerhofer more than expected).
Fields of papers citing papers by Martin Mayerhofer
This network shows the impact of papers produced by Martin Mayerhofer. 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 Mayerhofer. The network helps show where Martin Mayerhofer may publish in the future.
Co-authorship network of co-authors of Martin Mayerhofer
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Mayerhofer. A scholar is included among the top collaborators of Martin Mayerhofer 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 Mayerhofer. Martin Mayerhofer 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 | 4 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | Trends in expectancy for success and value beliefs at the secondary-tertiary transition into STEM fields | 1 |
| 9 | 15 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 10 | |
| 13 | "KetoMIR2" - modelling of ketosis risk using vets diagnosis and mir spectra for dairy cows in early lactation. | 1 |
| 14 | 10 | |
| 15 | 16 | |
| 16 | 23 | |
| 17 | 30 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 54 |
About Martin Mayerhofer
Martin Mayerhofer is a scholar working on Agronomy and Crop Science, Human-Computer Interaction and Small Animals, having authored 28 papers that have together received 248 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (10 papers), Reproductive Physiology in Livestock (5 papers) and Effects of Environmental Stressors on Livestock (5 papers). The work is most often cited by research in Agronomy and Crop Science (125 citations), Small Animals (90 citations) and Animal Science and Zoology (74 citations). Martin Mayerhofer has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include C. Egger-Danner, Birgit Fuerst‐Waltl, W. Obritzhauser, Hermann Schwarzenbacher, A. Koeck, C. Fuerst, L. Gruber, Annemarie Käsbohrer, Markus Hohenwarter and Michael Eichmair. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and The Veterinary Journal.
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.