Martin Kammer

Bayer (Germany)

Papers

1

Total Citations

43

H-Index

1

About

Martin Kammer is a leading researcher in dairy science, specializing in the metabolic health of dairy cows during the critical transition period around calving. His work focuses on identifying and characterizing poor metabolic adaptation syndrome (PMAS), a condition that impairs lactation performance and animal welfare. Kammer’s major contribution lies in moving beyond traditional, inconsistent markers like hyperketonemia. His most-cited paper (2018, 43 citations) introduced a novel cluster analysis approach to identify cows with PMAS, using multivariate data to capture the syndrome’s complexity more accurately than single biomarkers. This work has provided a more robust framework for early detection, enabling targeted interventions to improve herd health and productivity. Kammer’s research is highly influential among veterinary scientists and dairy nutritionists, shaping how metabolic disorders are diagnosed and managed in modern dairy operations. His innovative use of data-driven methods marks a significant step toward precision livestock farming.

Research Focus

Key Achievements

1
H-Index
1
Papers
43
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Identifying poor metabolic adaptation during early lactation in dairy cows using cluster analysis
43 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Bayer (Germany)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago