E. Norberg

1.3k total citations
42 papers, 1.0k citations indexed

About

E. Norberg is a scholar working on Genetics, Agronomy and Crop Science and Small Animals. According to data from OpenAlex, E. Norberg has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Genetics, 24 papers in Agronomy and Crop Science and 11 papers in Small Animals. Recurrent topics in E. Norberg's work include Genetic and phenotypic traits in livestock (31 papers), Reproductive Physiology in Livestock (12 papers) and Animal Behavior and Welfare Studies (11 papers). E. Norberg is often cited by papers focused on Genetic and phenotypic traits in livestock (31 papers), Reproductive Physiology in Livestock (12 papers) and Animal Behavior and Welfare Studies (11 papers). E. Norberg collaborates with scholars based in Denmark, Norway and Netherlands. E. Norberg's co-authors include J. Pedersen, Per Madsen, A.C. Sørensen, Peter Løvendahl, L.G. Christensen, Karen Helle Sloth, Inge Riis Korsgaard, N.C. Friggens, H. Hogeveen and Morten Kargo and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and Computers and Electronics in Agriculture.

In The Last Decade

E. Norberg

41 papers receiving 951 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. Norberg Denmark 17 687 635 321 205 150 42 1.0k
Geoff Pollott United Kingdom 18 762 1.1× 573 0.9× 348 1.1× 144 0.7× 43 0.3× 36 985
Bülent Ekiz Türkiye 20 596 0.9× 414 0.7× 826 2.6× 174 0.8× 99 0.7× 109 1.2k
Alper Yılmaz Türkiye 18 495 0.7× 338 0.5× 629 2.0× 116 0.6× 80 0.5× 87 998
Alberto Sabbioni Italy 17 353 0.5× 185 0.3× 334 1.0× 151 0.7× 92 0.6× 81 843
Ramūnas Antanaitis Lithuania 12 193 0.3× 366 0.6× 307 1.0× 200 1.0× 121 0.8× 96 684
J.N.B. Shrestha Canada 19 656 1.0× 526 0.8× 225 0.7× 82 0.4× 60 0.4× 73 900
S. Korver Netherlands 16 810 1.2× 664 1.0× 294 0.9× 102 0.5× 43 0.3× 37 983
J.P.C. Greyling South Africa 19 648 0.9× 831 1.3× 272 0.8× 62 0.3× 61 0.4× 71 1.1k
María Ángeles Pérez-Cabal Spain 18 559 0.8× 428 0.7× 331 1.0× 238 1.2× 53 0.4× 39 803
I. Boujenane Morocco 19 672 1.0× 474 0.7× 256 0.8× 48 0.2× 147 1.0× 88 885

Countries citing papers authored by E. Norberg

Since Specialization
Citations

This map shows the geographic impact of E. Norberg'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 E. Norberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Norberg more than expected).

Fields of papers citing papers by E. Norberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Norberg. 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 E. Norberg. The network helps show where E. Norberg may publish in the future.

Co-authorship network of co-authors of E. Norberg

This figure shows the co-authorship network connecting the top 25 collaborators of E. Norberg. A scholar is included among the top collaborators of E. Norberg 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 E. Norberg. E. Norberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Norberg, E., et al.. (2019). Estimation of genetic parameters for young stock survival in beef x dairy crossbred calves. animal. 14(3). 445–451. 6 indexed citations
3.
Kargo, Morten, et al.. (2018). Genetic correlations between methane production and fertility, health, and body type traits in Danish Holstein cows. Journal of Dairy Science. 101(3). 2273–2280. 32 indexed citations
4.
Fogh, Anders, et al.. (2018). Genetic parameters for handling and milking temperament in Danish first-parity Holstein cows. Journal of Dairy Science. 101(12). 11033–11039. 23 indexed citations
5.
Difford, Gareth F., et al.. (2018). Is rumination time an indicator of methane production in dairy cows?. Journal of Dairy Science. 101(12). 11074–11085. 25 indexed citations
6.
Alemu, Setegn Worku, E. Norberg, Anders Christian Sørensen, et al.. (2018). Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken. Genetics Selection Evolution. 50(1). 52–52. 12 indexed citations
7.
Clasen, Julie, E. Norberg, Per Madsen, J. Pedersen, & Morten Kargo. (2017). Estimation of genetic parameters and heterosis for longevity in crossbred Danish dairy cattle. Journal of Dairy Science. 100(8). 6337–6342. 34 indexed citations
8.
Norberg, E., Per Madsen, Guosheng Su, et al.. (2014). Short communication: Heterosis by environment and genotype by environment interactions for protein yield in Danish Jerseys. Journal of Dairy Science. 97(7). 4557–4561. 3 indexed citations
9.
Norberg, E., J.E. Pryce, & J. Pedersen. (2013). Short communication: A genetic study of mortality in Danish Jersey heifer calves. Journal of Dairy Science. 96(6). 4026–4030. 9 indexed citations
10.
Kargo, Morten, Per Madsen, & E. Norberg. (2012). Short communication: Is crossbreeding only beneficial in herds with low management level?. Journal of Dairy Science. 95(2). 925–928. 28 indexed citations
11.
Jørgensen, Hanne, et al.. (2010). Short communication: Born to be a loser cow?. Journal of Dairy Science. 93(9). 4386–4390. 4 indexed citations
12.
Sharifi, Ahmad, et al.. (2009). Genetic parameters and factors influencing survival to twenty-four hours after birth in Danish meat sheep breeds. Journal of Animal Science. 87(6). 1888–1895. 20 indexed citations
13.
Norberg, E., Per Madsen, & J. Pedersen. (2009). A multi-trait genetic analysis of protein yield, udder health, and fertility in first lactation Danish Holstein, Danish Red, and Danish Jersey using an animal model. Acta Agriculturae Scandinavica Section A – Animal Science. 59(4). 197–203. 11 indexed citations
14.
Norberg, E., et al.. (2008). Invited Review: Crossbreeding in Dairy Cattle: A Danish Perspective. Journal of Dairy Science. 91(11). 4116–4128. 140 indexed citations
15.
Sørensen, M.K., E. Norberg, J. Pedersen, & L.G. Christensen. (2008). Crossbreeding in dairy cattle a Danish perspective. Journal of Dairy Science. 15 indexed citations
16.
Norberg, E., et al.. (2008). Inbreeding in the Danish populations of five Nordic sheep breeds. Acta Agriculturae Scandinavica Section A – Animal Science. 58(1). 1–4. 7 indexed citations
17.
Norberg, E., H. Volden, & O. M. Harstad. (2007). Technical Note: Assessment of Recovery Site of Mobile Nylon Bags for Measuring Ileal Digestibility of Starch in Dairy Cows. Journal of Dairy Science. 90(1). 418–421. 8 indexed citations
18.
Norberg, E., G.W. Rogers, Jørgen Ødegård, J.B. Cooper, & Per Madsen. (2006). Short Communication: Genetic Correlation Between Test-Day Electrical Conductivity of Milk and Mastitis. Journal of Dairy Science. 89(2). 779–781. 12 indexed citations
19.
Norberg, E., H. Hogeveen, Inge Riis Korsgaard, et al.. (2004). Electrical Conductivity of Milk: Ability to Predict Mastitis Status. Journal of Dairy Science. 87(4). 1099–1107. 180 indexed citations
20.
Norberg, E., et al.. (2004). Genetic Parameters for Test-Day Electrical Conductivity of Milk for First-Lactation Cows from Random Regression Models. Journal of Dairy Science. 87(6). 1917–1924. 30 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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