M. Haile‐Mariam

2.8k total citations
79 papers, 2.0k citations indexed

About

M. Haile‐Mariam is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, M. Haile‐Mariam has authored 79 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Genetics, 53 papers in Agronomy and Crop Science and 26 papers in Animal Science and Zoology. Recurrent topics in M. Haile‐Mariam's work include Genetic and phenotypic traits in livestock (67 papers), Reproductive Physiology in Livestock (40 papers) and Genetic Mapping and Diversity in Plants and Animals (22 papers). M. Haile‐Mariam is often cited by papers focused on Genetic and phenotypic traits in livestock (67 papers), Reproductive Physiology in Livestock (40 papers) and Genetic Mapping and Diversity in Plants and Animals (22 papers). M. Haile‐Mariam collaborates with scholars based in Australia, United States and Sweden. M. Haile‐Mariam's co-authors include J.E. Pryce, Michael E. Goddard, Ben J. Hayes, P.J. Bowman, Thuy T. T. Nguyen, Phil Bowman, Iona M. MacLeod, C. Schrooten, G.J. Nieuwhof and Benjamin G. Cocks and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Dairy Science.

In The Last Decade

M. Haile‐Mariam

75 papers receiving 1.9k citations

Peers

M. Haile‐Mariam

GENET

ACS

ASZ

Maria Eugênia Zerlotti Mercadante Brazil

Raphael Mrode United Kingdom

M. M. de Alencar Brazil

Christine F. Baes Canada

Hinayah Rojas de Oliveira United States

M. J. Carabaño Spain

Humberto Tonhati Brazil

S. König Germany

N. M. Fogarty Australia

Paulo Sávio Lopes Brazil

Maria Eugênia Zerlotti Mercadante Brazil

M. Haile‐Mariam

1.6k ×1.0

GENET

936 ×1.0

ACS

774 ×1.1

ASZ

376 ×1.2

154 ×0.7

Citations per year, relative to M. Haile‐Mariam M. Haile‐Mariam (= 1×) peers Maria Eugênia Zerlotti Mercadante

Countries citing papers authored by M. Haile‐Mariam

Since Specialization

Citations

This map shows the geographic impact of M. Haile‐Mariam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Haile‐Mariam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Haile‐Mariam more than expected).

Fields of papers citing papers by M. Haile‐Mariam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Haile‐Mariam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Haile‐Mariam. The network helps show where M. Haile‐Mariam may publish in the future.

Co-authorship network of co-authors of M. Haile‐Mariam

This figure shows the co-authorship network connecting the top 25 collaborators of M. Haile‐Mariam. A scholar is included among the top collaborators of M. Haile‐Mariam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Haile‐Mariam. M. Haile‐Mariam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Khansefid, Majid, et al.. (2025). Genetic variation in novel calf traits using a farmer-centered, co-design approach to data collection. Journal of Dairy Science. 108(6). 6099–6113. 1 indexed citations

Haile‐Mariam, M., et al.. (2024). Optimizing genetic diversity in Australian Holsteins and Jerseys: A comparative analysis of whole-genome and regional inbreeding depression effects. Journal of Dairy Science. 108(3). 2658–2668. 1 indexed citations

Khansefid, Majid, et al.. (2024). Genetic evaluation for stillbirth and preweaning mortality in Australian dairy cattle. Journal of Dairy Science. 107(9). 6994–7008. 2 indexed citations

Bolormaa, Sunduimijid, M. Haile‐Mariam, Leah C. Marett, et al.. (2023). Use of dry-matter intake recorded at multiple time periods during lactation increases the accuracy of genomic prediction for dry-matter intake and residual feed intake in dairy cattle. Animal Production Science. 63(11). 1113–1125. 1 indexed citations

Haile‐Mariam, M., et al.. (2023). Genetic parameters and evaluation of mortality and slaughter rate in Holstein and Jersey cows. Journal of Dairy Science. 106(11). 7880–7892. 1 indexed citations

Haile‐Mariam, M., et al.. (2023). Evaluating the potential impact of selection for the A2 milk allele on inbreeding and performance in Australian Holstein cattle. SHILAP Revista de lepidopterología. 4. 6 indexed citations

Berg, Irene van den, Phuong N. Ho, M. Haile‐Mariam, & J.E. Pryce. (2021). Genetic parameters for mid-infrared spectroscopy–predicted fertility. SHILAP Revista de lepidopterología. 2(6). 361–365. 4 indexed citations

Khansefid, Majid, Michael E. Goddard, M. Haile‐Mariam, et al.. (2020). Improving Genomic Prediction of Crossbred and Purebred Dairy Cattle. Frontiers in Genetics. 11. 598580–598580. 24 indexed citations

Haile‐Mariam, M., et al.. (2019). Dairy Cattle Husbandry Practices and the Major Constraints of Smallholder Farmers in Telo District, Ethiopia. 4(4). 47. 2 indexed citations

10.

Haile‐Mariam, M. & J.E. Pryce. (2018). Genetic evaluation of gestation length and its use in managing calving patterns. Journal of Dairy Science. 102(1). 476–487. 19 indexed citations

11.

Nguyen, Thuy T. T., Phil Bowman, M. Haile‐Mariam, et al.. (2017). Short communication: Implementation of a breeding value for heat tolerance in Australian dairy cattle. Journal of Dairy Science. 100(9). 7362–7367. 53 indexed citations

12.

Haile‐Mariam, M., et al.. (2016). Reproductive performance of zebu Friesian and Friesianzebu crosses. Tropical Agriculture. 73(2). 142–147. 3 indexed citations

13.

Nguyen, Thuy T. T., Phil Bowman, M. Haile‐Mariam, J.E. Pryce, & Ben J. Hayes. (2016). Genomic selection for tolerance to heat stress in Australian dairy cattle. Journal of Dairy Science. 99(4). 2849–2862. 167 indexed citations

14.

Haile‐Mariam, M., J.E. Pryce, & Ben J. Hayes. (2014). Analyses of functional traits with indicator traits to improve genomic reliability in Australian Holstein cattle using domestic daughter deviation or de-regressed proofs as response variable. Proceedings of the World Congress on Genetics Applied to Livestock Production. 298. 1 indexed citations

15.

González-Recio, Óscar, J.E. Pryce, M. Haile‐Mariam, & Ben J. Hayes. (2014). Incorporating heifer feed efficiency in the Australian selection index using genomic selection. Journal of Dairy Science. 97(6). 3883–3893. 30 indexed citations

16.

Haile‐Mariam, M., P.J. Bowman, & J.E. Pryce. (2012). Genetic analyses of fertility and predictor traits in Holstein herds with low and high mean calving intervals and in Jersey herds. Journal of Dairy Science. 96(1). 655–667. 26 indexed citations

17.

Pryce, J.E., M. Haile‐Mariam, Klara Verbyla, et al.. (2010). Genetic markers for lactation persistency in primiparous Australian dairy cows. Journal of Dairy Science. 93(5). 2202–2214. 21 indexed citations

18.

Haile‐Mariam, M., MJ Carrick, & Michael E. Goddard. (2008). Genotype by Environment Interaction for Fertility, Survival, and Milk Production Traits in Australian Dairy Cattle. Journal of Dairy Science. 91(12). 4840–4853. 74 indexed citations

19.

Haile‐Mariam, M., Michael E. Goddard, & P.J. Bowman. (2001). Estimates of Genetic Parameters for Daily Somatic Cell Count of Australian Dairy Cattle. Journal of Dairy Science. 84(5). 1255–1264. 60 indexed citations

20.

Haile‐Mariam, M., et al.. (1994). Productivity of Boran cattle and their Friesian crosses at Abernossa Ranch, rift valley of Ethiopia. II. Growth performance. Tropical Animal Health and Production. 26(1). 49–57. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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