D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Animal Science and Veterinary D-index 27 Citations 4,040 80 World Ranking 718 National Ranking 66

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Regression analysis
  • Genetics

His primary areas of investigation include Lactation, Dairy cattle, Statistics, Regression analysis and Test day. Janusz Jamrozik has researched Lactation in several fields, including Analysis of variance, Breed, Herd, Animal science and Heritability. His research integrates issues of Biotechnology and Ice calving in his study of Animal science.

His work on Gibbs sampling is typically connected to Legendre polynomials as part of general Statistics study, connecting several disciplines of science. In his work, Linear model and Sire is strongly intertwined with Linear regression, which is a subfield of Regression analysis. His Test day study incorporates themes from Random regression and Somatic cell count.

His most cited work include:

  • Estimates of Genetic Parameters for a Test Day Model with Random Regressions for Yield Traits of First Lactation Holsteins (351 citations)
  • Experience with a Test-Day Model (213 citations)
  • Estimates of Genetic Parameters for Canadian Holstein Female Reproduction Traits (212 citations)

What are the main themes of his work throughout his whole career to date?

Janusz Jamrozik mainly investigates Animal science, Dairy cattle, Lactation, Statistics and Herd. Janusz Jamrozik has researched Animal science in several fields, including Biotechnology, Milk yield, Ice calving and Heritability. His study in Dairy cattle is interdisciplinary in nature, drawing from both Breed, Milking, Reproduction and Sire.

His Lactation research focuses on Regression and how it relates to Sampling. His research in Statistics intersects with topics in Econometrics and Random regression. In his research on the topic of Regression analysis, Analysis of variance is strongly related with Linear regression.

He most often published in these fields:

  • Animal science (46.30%)
  • Dairy cattle (45.37%)
  • Lactation (39.81%)

What were the highlights of his more recent work (between 2016-2020)?

  • Dairy cattle (45.37%)
  • Statistics (36.11%)
  • Lactation (39.81%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Dairy cattle, Statistics, Lactation, Animal science and Heritability. His Dairy cattle research is under the purview of Genetics. In the field of Statistics, his study on Reliability overlaps with subjects such as Best linear unbiased prediction, Context, Milk fat and Double counting.

His study explores the link between Lactation and topics such as Linear model that cross with problems in Gibbs sampling. His studies in Animal science integrate themes in fields like Unsaturated fatty acid and Fatty acid. His Herd research integrates issues from Milk production and Milk yield.

Between 2016 and 2020, his most popular works were:

  • Genetic parameters for test-day model with random regressions for production traits of Czech Holstein cattle (45 citations)
  • Genetic analysis of groups of mid-infrared predicted fatty acids in milk (18 citations)
  • Genetic parameters for somatic cell score in the first three lactations of Czech Holstein and Fleckvieh breeds using a random regression model (14 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Genetics
  • Regression analysis

His primary areas of study are Heritability, Dairy cattle, Statistics, Lactation and Linear model. The Heritability study combines topics in areas such as Saturated fatty acid, Long chain fatty acid and Animal science. His Animal science research includes elements of Unsaturated fatty acid, Biochemistry, Medium chain fatty acid and Fatty acid.

His Dairy cattle study combines topics in areas such as Test day, Regression analysis and Random regression. His study in the fields of Gibbs sampling under the domain of Statistics overlaps with other disciplines such as Czech and Random effects model. The Somatic cell count research Janusz Jamrozik does as part of his general Lactation study is frequently linked to other disciplines of science, such as Genetic correlation, therefore creating a link between diverse domains of science.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Estimates of Genetic Parameters for a Test Day Model with Random Regressions for Yield Traits of First Lactation Holsteins

J. Jamrozik;L.R. Schaeffer.
Journal of Dairy Science (1997)

609 Citations

Genetic Evaluation of Dairy Cattle Using Test Day Yields and Random Regression Model

J. Jamrozik;L.R. Schaeffer;J.C.M. Dekkers.
Journal of Dairy Science (1997)

347 Citations

Estimates of Genetic Parameters for Canadian Holstein Female Reproduction Traits

J. Jamrozik;J. Fatehi;G.J. Kistemaker;L.R. Schaeffer.
Journal of Dairy Science (2005)

326 Citations

Experience with a Test-Day Model

L. R. Schaeffer;J. Jamrozik;G. J. Kistemaker;B. J. Van Doormaal.
Journal of Dairy Science (2000)

295 Citations

Genetic Analysis of Milk Urea Nitrogen and Lactose and Their Relationships with Other Production Traits in Canadian Holstein Cattle

F. Miglior;A. Sewalem;A. Sewalem;J. Jamrozik;J. Bohmanova.
Journal of Dairy Science (2007)

224 Citations

Estimation of Genetic Parameters for Test Day Records of Somatic Cell Score

R. Reents;J. Jamrozik;L.R. Schaeffer;J.C.M. Dekkers.
Journal of Dairy Science (1995)

151 Citations

Comparison of possible covariates for use in a random regression model for analyses of test day yields

J. Jamrozik;G.J. Kistemaker;J.C.M. Dekkers;L.R. Schaeffer.
Journal of Dairy Science (1997)

138 Citations

Estimation of Genetic Parameters for Concentrations of Milk Urea Nitrogen

G.M. Wood;P.J. Boettcher;P.J. Boettcher;J. Jamrozik;G.B. Jansen.
Journal of Dairy Science (2003)

128 Citations

Strategies for Estimating the Parameters Needed for Different Test-Day Models

I. Misztal;T. Strabel;J. Jamrozik;E.A. Mäntysaari.
Journal of Dairy Science (2000)

120 Citations

Multiple-trait prediction of lactation yields for dairy cows.

L.R. Schaeffer;J. Jamrozik.
Journal of Dairy Science (1996)

110 Citations

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