This map shows the geographic impact of H.D. Norman'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 H.D. Norman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.D. Norman more than expected).
This network shows the impact of papers produced by H.D. Norman. 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 H.D. Norman. The network helps show where H.D. Norman may publish in the future.
Co-authorship network of co-authors of H.D. Norman
This figure shows the co-authorship network connecting the top 25 collaborators of H.D. Norman.
A scholar is included among the top collaborators of H.D. Norman 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 H.D. Norman. H.D. Norman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Norman, H.D., J.R. Wright, & João Dürr. (2015). Re-Examination of Service-Sire Conception Rates in the United States. Bulletin - International Bull Evaluation Service/Interbull bulletin. 90–92.1 indexed citations
3.
Norman, H.D., et al.. (2014). Selection changes in the United States due to genomics.. Bulletin - International Bull Evaluation Service/Interbull bulletin. 37–39.1 indexed citations
Bohmanová, J., S. Tsuruta, H.D. Norman, & T.J. Lawlor. (2008). Genotype by Environment Interaction Due to Heat Stress. Nursing times. 97(19). 12–3.16 indexed citations
Misztal, I., J. Bohmanová, Matheus de Freitas Souza, et al.. (2006). ISSUES IN GENETIC EVALUATION OF DAIRY CATTLE FOR HEAT TOLERANCE. 1–12.8 indexed citations
8.
Bohmanová, J., I. Misztal, S. Tsuruta, H.D. Norman, & T.J. Lawlor. (2005). National genetic evaluation of milk yield for heat tolerance of United States Holsteins. Bulletin - International Bull Evaluation Service/Interbull bulletin. 160.43 indexed citations
Powell, R.L., A.H. Sanders, & H.D. Norman. (2003). Accuracy of foreign dairy bull evaluations in predicting US evaluations for yield. Bulletin - International Bull Evaluation Service/Interbull bulletin. 171.1 indexed citations
12.
Tassell, Curtis P. Van, G.R. Wiggans, H.D. Norman, & R.L. Powell. (1997). Estimation of heritability for yield of U.S. dairy cattle. Bulletin - International Bull Evaluation Service/Interbull bulletin. 104–104.2 indexed citations
Norman, H.D., et al.. (1990). Change in evaluations of breeder proven bulls entering artificial insemination service.. Journal of Dairy Science. 73.3 indexed citations
15.
Powell, R.L., G.R. Wiggans, & H.D. Norman. (1990). Discrepancies between daughter yield deviation and parent average.. Journal of Dairy Science. 73.1 indexed citations
16.
Nieuwhof, G.J., R.L. Powell, & H.D. Norman. (1987). Trends in calving age and interval for dairy cows in the United States.. Socio-Environmental Systems Modeling.
17.
Norman, H.D. & R.L. Powell. (1986). Pedigree selection of dairy bulls in the United States and resultant progeny tests.. Proceedings of the World Congress on Genetics applied to Livestock Production. 196–201.3 indexed citations
Powell, R.L. & H.D. Norman. (1974). Analysis of first preliminary sire summary. Journal of Dairy Science. 57(5). 614–615.1 indexed citations
20.
Norman, H.D.. (1970). Dairy cattle type appraisal: sources of variation and relationships to producing ability.. Dissertation Abstracts International, B. 31(6).2 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.