H. Vivar

1.2k total citations
31 papers, 831 citations indexed

About

H. Vivar is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, H. Vivar has authored 31 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 7 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in H. Vivar's work include Wheat and Barley Genetics and Pathology (20 papers), Genetics and Plant Breeding (9 papers) and Plant Disease Resistance and Genetics (8 papers). H. Vivar is often cited by papers focused on Wheat and Barley Genetics and Pathology (20 papers), Genetics and Plant Breeding (9 papers) and Plant Disease Resistance and Genetics (8 papers). H. Vivar collaborates with scholars based in Mexico, United States and Thailand. H. Vivar's co-authors include Patrick M. Hayes, A. Kleinhofs, David Kudrna, L. H. M. Broers, T. Toojinda, A. E. Corey, W. Powell, Brian J. Steffenson, L. Gilchrist and Theerayut Toojinda and has published in prestigious journals such as Theoretical and Applied Genetics, Crop Science and Phytopathology.

In The Last Decade

H. Vivar

31 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Vivar Mexico 16 799 292 157 129 84 31 831
H. Leung United States 16 1.3k 1.6× 296 1.0× 379 2.4× 292 2.3× 42 0.5× 33 1.4k
Julian B. Thomas Canada 17 931 1.2× 151 0.5× 195 1.2× 198 1.5× 107 1.3× 24 954
M. William Mexico 16 963 1.2× 317 1.1× 205 1.3× 55 0.4× 142 1.7× 26 1.0k
A. Yahyaoui Syria 14 972 1.2× 156 0.5× 216 1.4× 102 0.8× 138 1.6× 47 1.0k
Michael Mackay Syria 14 688 0.9× 195 0.7× 88 0.6× 16 0.1× 48 0.6× 25 741
Peter M. Bourke Netherlands 14 546 0.7× 216 0.7× 242 1.5× 53 0.4× 54 0.6× 27 671
G. F. Marais South Africa 23 1.3k 1.6× 184 0.6× 417 2.7× 102 0.8× 126 1.5× 57 1.3k
Robert Saville United Kingdom 9 475 0.6× 138 0.5× 95 0.6× 118 0.9× 96 1.1× 14 520
Luis Fernando Samayoa United States 15 555 0.7× 316 1.1× 139 0.9× 94 0.7× 53 0.6× 23 618
Outi Manninen Finland 17 820 1.0× 286 1.0× 224 1.4× 76 0.6× 55 0.7× 39 904

Countries citing papers authored by H. Vivar

Since Specialization
Citations

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

Fields of papers citing papers by H. Vivar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Vivar

This figure shows the co-authorship network connecting the top 25 collaborators of H. Vivar. A scholar is included among the top collaborators of H. Vivar 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. Vivar. H. Vivar 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.
Brooks, W. S., Carl A. Griffey, Andrew Price, et al.. (2005). Registration of ‘Doyce’ Hulless Barley. Crop Science. 45(2). 792–793. 5 indexed citations
2.
Castro, Ariel, F. Capettini, A. E. Corey, et al.. (2003). Mapping and pyramiding of qualitative and quantitative resistance to stripe rust in barley. Theoretical and Applied Genetics. 107(5). 922–930. 66 indexed citations
3.
Hayes, Patrick M., A. E. Corey, Christopher C. Mundt, T. Toojinda, & H. Vivar. (2003). Registration of ‘Tango’ Barley. Crop Science. 43(2). 729–731. 6 indexed citations
4.
Çakır, M., M. Spackman, C. Wellings, et al.. (2003). Molecular mapping as a tool for pre-emptive breeding for resistance to the exotic barley pathogen, Puccinia striiformis f. sp. hordei. Australian Journal of Agricultural Research. 54(12). 1351–1357. 7 indexed citations
5.
Castro, Ariel, Xianming Chen, Ann Corey, et al.. (2003). Pyramiding and Validation of Quantitative Trait Locus (QTL) Alleles Determining Resistance to Barley Stripe Rust. Crop Science. 43(6). 2234–2239. 29 indexed citations
6.
Castro, Ariel, Xianming Chen, Patrick M. Hayes, et al.. (2002). Coincident QTL Which Determine Seedling and Adult Plant Resistance to Stripe Rust in Barley. Crop Science. 42(5). 1701–1708. 28 indexed citations
7.
Vivar, H. & A. McNab. (2001). Breeding barley in the new millenium: proceedings of an International Symposium. 3 indexed citations
8.
Hayes, P. M., et al.. (2000). Registration of 'Orca' barley.. Crop Science. 40(3). 849–851. 15 indexed citations
9.
Toojinda, T., L. H. M. Broers, X. M. Chen, et al.. (2000). Mapping quantitative and qualitative disease resistance genes in a doubled haploid population of barley (Hordeum vulgare). Theoretical and Applied Genetics. 101(4). 580–589. 93 indexed citations
10.
Brooks, W. S., Carl A. Griffey, Brian J. Steffenson, & H. Vivar. (2000). Genes Governing Resistance to Puccinia hordei in Thirteen Spring Barley Accessions. Phytopathology. 90(10). 1131–1136. 18 indexed citations
11.
Zhu, Huayu, L. Gilchrist, Patrick M. Hayes, et al.. (1999). Does function follow form? Principal QTLs for Fusarium head blight (FHB) resistance are coincident with QTLs for inflorescence traits and plant height in a doubled-haploid population of barley. Theoretical and Applied Genetics. 99(7-8). 1221–1232. 124 indexed citations
12.
Chen, X. M., R. F. Line, Patrick M. Hayes, et al.. (1999). Mapping barley genes for resistance to stripe rust, leaf rust, and scab using resistance gene analog polymorphism and restriction fragment length polymorphism. 15. 16 indexed citations
13.
Sandoval-Islas, José Sergio, et al.. (1998). Evaluation of quantitative resistance to yellow rust (Puccinia striiformis f. sp. hordei) in the ICARDA/CIMMYT barley breeding programme. Plant Breeding. 117(2). 127–130. 16 indexed citations
14.
Vivar, H., et al.. (1997). Head Scab Resistant Barley for Malting and Food. Cereal Research Communications. 25(3). 693–697. 10 indexed citations
15.
Hayes, Patrick M., et al.. (1994). Mapping genes for resistance to barley stripe rust (Puccinia striiformis f. sp. hordei). Theoretical and Applied Genetics. 88(2). 215–219. 69 indexed citations
16.
Reynolds, Matthew, Ken D. Sayre, & H. Vivar. (1994). Intercropping wheat and barley with N-fixing legume species: a method for improving ground cover, N-use efficiency and productivity in low input systems. The Journal of Agricultural Science. 123(2). 175–183. 29 indexed citations
17.
Vivar, H., P. A. Burnett, & P. Fox. (1991). Andean subsistence farmers benefit from ICARDA-CIMMYT barley breeding program.. Diversity. 7(2). 64–65. 3 indexed citations
18.
Calhoun, D. S., P. A. Burnett, Joshua F. Robinson, & H. Vivar. (1991). Field Resistance to Russian Wheat Aphid in Barley: I. Sympton Expression. Crop Science. 31(6). 1464–1467. 7 indexed citations
19.
Soliman, K. M., et al.. (1991). Interactions among Loci Conferring Photoperiod Insensitivity for Heading Time in Spring Barley. Crop Science. 31(2). 256–261. 43 indexed citations
20.
Calhoun, D. S., P. A. Burnett, Joshua F. Robinson, H. Vivar, & L. Gilchrist. (1991). Field Resistance to Russian Wheat Aphid in Barley: II. Yield Assessment. Crop Science. 31(6). 1468–1472. 6 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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