G.K. Haibel

28 total papers · 676 total citations
24 papers, 514 citations indexed

About

G.K. Haibel is a scholar working on Agronomy and Crop Science, Small Animals and Genetics. According to data from OpenAlex, G.K. Haibel has authored 24 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Agronomy and Crop Science, 9 papers in Small Animals and 7 papers in Genetics. Recurrent topics in G.K. Haibel's work include Reproductive Physiology in Livestock (12 papers), Genetic and phenotypic traits in livestock (7 papers) and Effects of Environmental Stressors on Livestock (3 papers). G.K. Haibel is often cited by papers focused on Reproductive Physiology in Livestock (12 papers), Genetic and phenotypic traits in livestock (7 papers) and Effects of Environmental Stressors on Livestock (3 papers). G.K. Haibel collaborates with scholars based in United States, Canada and China. G.K. Haibel's co-authors include NR Perkins, M. Drost, L.A. Guilbault, Jean K. Reichle, Deborah Fairchild Benyo, J. L. Pate, W.W. Thatcher, J.S. Ottobre, M. D. Mosher and Michael Davis and has published in prestigious journals such as Biology of Reproduction, Reproduction and Theriogenology.

In The Last Decade

G.K. Haibel

24 papers receiving 457 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G.K. Haibel	374	213	156	71	70	24	514
Marcel A.M. Taverne	231 0.6×	112 0.5×	194 1.2×	94 1.3×	142 2.0×	24	516
Aly Karen	506 1.4×	356 1.7×	168 1.1×	116 1.6×	77 1.1×	32	611
D. H. Schläfer	239 0.6×	227 1.1×	158 1.0×	51 0.7×	82 1.2×	23	595
M. Battocchio	232 0.6×	145 0.7×	170 1.1×	61 0.9×	75 1.1×	26	467
G. C. van der Weyden	350 0.9×	111 0.5×	172 1.1×	64 0.9×	188 2.7×	22	581
Sandra Curran	463 1.2×	354 1.7×	140 0.9×	75 1.1×	135 1.9×	13	595
J. M. Kelly	300 0.8×	186 0.9×	163 1.0×	124 1.7×	44 0.6×	23	467
Jacky Peng‐Wen Chan	131 0.4×	147 0.7×	150 1.0×	96 1.4×	61 0.9×	36	562
J.S. Boyd	226 0.6×	137 0.6×	192 1.2×	39 0.5×	133 1.9×	30	499
Denis Vaillancourt	455 1.2×	184 0.9×	155 1.0×	36 0.5×	97 1.4×	27	590

Countries citing papers authored by G.K. Haibel

Since Specialization

Citations

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

Fields of papers citing papers by G.K. Haibel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.K. Haibel. 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 G.K. Haibel. The network helps show where G.K. Haibel may publish in the future.

Co-authorship network of co-authors of G.K. Haibel

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

All Works

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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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