Alexander Bartel

Freie Universität Berlin

Papers

1

Total Citations

2

H-Index

1

About

Alexander Bartel is a researcher in veterinary epidemiology and dairy science, with a primary focus on udder health management in dairy cows. His work centers on improving diagnostic methods for mastitis and subclinical infections, particularly through the innovative use of Dairy Herd Improvement (DHI) data. Bartel’s major contribution is the development of ZellDiX, a novel approach that leverages routine somatic cell count (SCC) results and cell differentiation to assess udder health more precisely than traditional methods. This system, which computes six distinct udder health scores from monthly DHI testing, offers farmers a practical, data-driven tool for early detection and management of intramammary infections. Although his most-cited paper has garnered 2 citations, its impact lies in its practical application within German dairy herds, where it has influenced herd health monitoring protocols. Bartel’s work bridges the gap between complex immunological data and on-farm decision-making, making him a key figure in precision livestock farming. His research continues to support sustainable dairy production by reducing reliance on antibiotics and improving animal welfare through targeted health interventions.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
ZellDiX - A new approach to assess udder health by using DHI results and cell differentiation
2 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Freie Universität Berlin

Top Papers

  1. 1
    ZellDiX - A new approach to assess udder health by using DHI results and cell differentiation
    2 citations · 2019

Key Collaborators

Contact & Links

Available for collaboration
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