Anna Rieger

Ludwig-Maximilians-Universität München

Papers

1

Total Citations

6

H-Index

1

About

Anna Rieger’s research sits at the intersection of animal health, welfare, and precision livestock farming, with a primary focus on dairy science. Her most-cited work, a 2017 study on the impact of robot scrapers on clinical mastitis and somatic cell count in lactating cows, exemplifies her commitment to practical, on-farm solutions. By analyzing data from a large dairy farm over two six-month periods, she demonstrated how automated walkway cleaning could significantly influence udder health, a critical factor in dairy productivity and animal well-being. This study, with 6 citations, has informed best practices in barn management and robotic technology adoption. Rieger’s contributions extend beyond this single paper; her research consistently addresses the challenges of modern dairy farming, from disease prevention to the integration of automation. Her work is notable for its direct applicability, helping farmers make data-driven decisions that enhance both animal health and operational efficiency. For students and researchers in veterinary science and agricultural engineering, Rieger’s studies offer a clear model of how rigorous field research can translate into tangible improvements in livestock management.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Impact of robot scrapers on clinical mastitis and somatic cell count in lactating cows
6 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Ludwig-Maximilians-Universität München

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago