D-Index & Metrics Best Publications

D-Index & Metrics 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.

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
Genetics D-index 52 Citations 13,682 236 World Ranking 3026 National Ranking 1315

Research.com Recognitions

Awards & Achievements

2012 - Rockefeller Prentice Award in Animal Breeding and Genetics, American Society of Animal Science

Overview

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

While working on this project, Rohan L. Fernando studies both Artificial intelligence and Machine learning. His Machine learning study frequently links to other fields, such as Selection (genetic algorithm). As part of his studies on Selection (genetic algorithm), he frequently links adjacent subjects like Artificial intelligence. By researching both Statistics and Covariate, he produces research that crosses academic boundaries. His Marker-assisted selection research extends to the thematically linked field of Genotype. His study brings together the fields of Genotype and Marker-assisted selection. He combines topics linked to Inbred strain with his work on Genetics. His Inbred strain study frequently draws parallels with other fields, such as Gene. His research ties Linkage (software) and Gene together.

Rohan L. Fernando most often published in these fields:

  • Artificial intelligence (75.00%)
  • Statistics (75.00%)
  • Selection (genetic algorithm) (75.00%)

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

The Impact of Genetic Relationship Information on Genome-Assisted Breeding Values

D. Habier;R. L. Fernando;J. C. M. Dekkers.
Genetics (2007)

1246 Citations

Extension of the bayesian alphabet for genomic selection

David Habier;Rohan L Fernando;Kadir Kizilkaya;Kadir Kizilkaya;Dorian J Garrick;Dorian J Garrick.
BMC Bioinformatics (2011)

1061 Citations

Marker assisted selection using best linear unbiased prediction

R.L. Fernando;M. Grossman.
Genetics Selection Evolution (1989)

753 Citations

Deregressing estimated breeding values and weighting information for genomic regression analyses

Dorian J Garrick;Dorian J Garrick;Jeremy F Taylor;Rohan L Fernando.
Genetics Selection Evolution (2009)

608 Citations

Additive Genetic Variability and the Bayesian Alphabet

Daniel Gianola;Daniel Gianola;Daniel Gianola;Gustavo A. de los Campos;William G. Hill;Eduardo Manfredi.
Genetics (2009)

517 Citations

Bayesian Methods in Animal Breeding Theory

Daniel Gianola;Rohan L. Fernando.
Journal of Animal Science (1986)

473 Citations

Genomic-assisted prediction of genetic value with semiparametric procedures.

Daniel Gianola;Daniel Gianola;Daniel Gianola;Rohan L. Fernando;Alessandra Stella.
Genetics (2006)

444 Citations

Factors Affecting Accuracy From Genomic Selection in Populations Derived From Multiple Inbred Lines: A Barley Case Study

Shengqiang Zhong;Jack C.M. Dekkers;Rohan Luigi Fernando;Jean-Luc Jannink.
Genetics (2009)

410 Citations

Accuracy of Genomic Selection Methods in a Standard Data Set of Loblolly Pine ( Pinus taeda L.)

Márcio F. R. Resende;Patricio Muñoz;Marcos D. V. Resende;Marcos D. V. Resende;Dorian J. Garrick.
Genetics (2012)

395 Citations

Genomic Selection Using Low-Density Marker Panels

David Habier;David Habier;Rohan L. Fernando;Jack C. M. Dekkers.
Genetics (2009)

385 Citations

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