D. Cavero
- Animal Science and Zoology top 2%
- Animal Nutrition and Physiology 26
- Livestock and Poultry Management 6
- Meat and Animal Product Quality 4
- Small Animals top 2%
- Animal Behavior and Welfare Studies 8
- Agronomy and Crop Science top 5%
- Milk Quality and Mastitis in Dairy Cows 5
- Genetics top 10%
- Genetic and phenotypic traits in livestock 15
- Genetic Mapping and Diversity in Plants and Animals 9
- Food Science top 10%
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- Aquaculture Nutrition and Growth 4
- Co-authors
- J. KrieterM. SchmutzWiebke IckenK.-H. TölleRudolf PreisingerHenner SimianerE. StamerMalena Erbe
- Journals
- Poultry Science (6 papers)Livestock Science (5 papers)Genetics Selection Evolution (3 papers)
- Partner nations
- GermanySpainUnited States
In The Last Decade
D. Cavero
39 papers receiving 639 citations
Peers
Comparison fields: 5 of 82
- Animal Science and Zoology 324
- Small Animals 156
- Agronomy and Crop Science 158
- Genetics 280
- Food Science 102
Countries citing papers authored by D. Cavero
This map shows the geographic impact of D. Cavero'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 D. Cavero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Cavero more than expected).
Fields of papers citing papers by D. Cavero
This network shows the impact of papers produced by D. Cavero. 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 D. Cavero. The network helps show where D. Cavero may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Cavero, 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 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 1 | |
| 5 | 2019 | 49 | |
| 6 | 2019 | 3 | |
| 7 | 2018 | 14 | |
| 8 | 2018 | 3 | |
| 9 | 2017 | 9 | |
| 10 | 2014 | 30 | |
| 11 | 2014 | 5 | |
| 12 | 2013 | 18 | |
| 13 | 2013 | 28 | |
| 14 | 2011 | 2 | |
| 15 | 2011 | 9 | |
| 16 | Genetic evaluation of pure-line and cross-line performance in layers | 2010 | 6 |
| 17 | Analysis of the nesting behaviour from laying hens in a floor system. | 2009 | 4 |
| 18 | 2009 | 28 | |
| 19 | 2008 | 19 | |
| 20 | Mastitis detection in dairy cows using Neural Networks | 2007 | 5 |
About D. Cavero
D. Cavero is a scholar working on Animal Science and Zoology, Small Animals, Genetics, Aquatic Science and Agronomy and Crop Science, having authored 39 papers that have together received 680 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (26 papers), Genetic and phenotypic traits in livestock (15 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Animal Behavior and Welfare Studies (8 papers), Livestock and Poultry Management (6 papers), Milk Quality and Mastitis in Dairy Cows (5 papers), Meat and Animal Product Quality (4 papers) and Aquaculture Nutrition and Growth (4 papers). The work is most often cited by research in Animal Science and Zoology (324 citations), Small Animals (156 citations), Agronomy and Crop Science (158 citations), Genetics (280 citations) and Food Science (102 citations). D. Cavero has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include J. Krieter, M. Schmutz, Wiebke Icken, K.-H. Tölle, Rudolf Preisinger, Henner Simianer, E. Stamer, Malena Erbe, R. Preisinger and Guiyan Ni. Their work appears in journals such as Poultry Science, Livestock Science, Genetics Selection Evolution, Avian Pathology and British Poultry Science.
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.