Carlos Roberto Riede

654 total citations
31 papers, 517 citations indexed

About

Carlos Roberto Riede is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Carlos Roberto Riede has authored 31 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 14 papers in Agronomy and Crop Science and 2 papers in Molecular Biology. Recurrent topics in Carlos Roberto Riede's work include Wheat and Barley Genetics and Pathology (13 papers), Crop Yield and Soil Fertility (13 papers) and Genetics and Plant Breeding (7 papers). Carlos Roberto Riede is often cited by papers focused on Wheat and Barley Genetics and Pathology (13 papers), Crop Yield and Soil Fertility (13 papers) and Genetics and Plant Breeding (7 papers). Carlos Roberto Riede collaborates with scholars based in Brazil, United States and Paraguay. Carlos Roberto Riede's co-authors include James A. Anderson, L. A. C. Campos, Y. R. Mehta, Man Mohan Kohli, James G. Jordahl, Claudemir Zucareli, L. J. Francl, Steven W. Meinhardt, Inês Cristina de Batista Fonseca and Klever Márcio Antunes Arruda and has published in prestigious journals such as Theoretical and Applied Genetics, Crop Science and Crop Protection.

In The Last Decade

Carlos Roberto Riede

28 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos Roberto Riede Brazil 9 497 114 71 59 33 31 517
Sandra Cristina Kothe Milach Brazil 13 429 0.9× 57 0.5× 80 1.1× 135 2.3× 19 0.6× 45 458
N. D. Williams United States 15 518 1.0× 87 0.8× 169 2.4× 92 1.6× 30 0.9× 37 586
Sherry Rachel Jacob India 10 273 0.5× 50 0.4× 34 0.5× 69 1.2× 10 0.3× 45 315
G. Oettler Germany 15 552 1.1× 96 0.8× 87 1.2× 114 1.9× 8 0.2× 29 605
H. N. Lafever United States 12 346 0.7× 64 0.6× 52 0.7× 24 0.4× 46 1.4× 33 382
Luis Narro Colombia 9 436 0.9× 88 0.8× 22 0.3× 133 2.3× 54 1.6× 17 470
B. J. Read Australia 15 537 1.1× 56 0.5× 49 0.7× 165 2.8× 7 0.2× 23 562
V. T. Sapra United States 12 351 0.7× 77 0.7× 94 1.3× 17 0.3× 21 0.6× 33 403
M. J. Del Peloso Brazil 17 854 1.7× 105 0.9× 41 0.6× 59 1.0× 43 1.3× 101 909
Elisa Serra Negra Vieira Brazil 10 279 0.6× 37 0.3× 65 0.9× 60 1.0× 21 0.6× 52 319

Countries citing papers authored by Carlos Roberto Riede

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Roberto Riede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos Roberto Riede. 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 Carlos Roberto Riede. The network helps show where Carlos Roberto Riede may publish in the future.

Co-authorship network of co-authors of Carlos Roberto Riede

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Roberto Riede. A scholar is included among the top collaborators of Carlos Roberto Riede 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 Carlos Roberto Riede. Carlos Roberto Riede 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.
Riede, Carlos Roberto, et al.. (2021). Topdressing nitrogen fertilization associated with trinexapac-ethyl on industrial quality of oat grains. Revista CERES. 68(1). 47–54. 7 indexed citations
2.
Zucareli, Claudemir, et al.. (2019). Timing and growing conditions of nitrogen topdressing influence the grain yield and protein content of four wheat cultivars. Bragantia. 78(3). 361–370. 4 indexed citations
3.
Zeffa, Douglas Mariani, et al.. (2019). White oat agronomic performance and cultivar reactions to leaf rust and leaf spot. 5(1). 24–24. 4 indexed citations
4.
Riede, Carlos Roberto, et al.. (2018). Trinexapac-ethyl and topdressing nitrogen levels on the productivity and physiological quality of graniferous white oat seeds. Journal of Seed Science. 40(3). 263–271. 1 indexed citations
5.
Riede, Carlos Roberto, et al.. (2016). Investigating suitable test locations and mega-environments for evaluating spring wheat in Brazil. Australian Journal of Crop Science. 10(2). 137–143. 3 indexed citations
6.
Riede, Carlos Roberto, et al.. (2015). IPR CATUARA TM - new cultivar of high gluten wheat. Crop Breeding and Applied Biotechnology. 15(1). 56–58. 1 indexed citations
7.
Bassoi, M. C., et al.. (2015). Cultivares de trigo e triticale: Embrapa e Iapar.. infoteca-e (Brazilian Agricultural Research Corporation). 4 indexed citations
8.
Machado, Andressa Cristina Zamboni, et al.. (2014). Phenotypic variability and response of Brazilian oat genotypes to different species of root-knot and root-lesion nematodes. European Journal of Plant Pathology. 141(1). 111–117. 13 indexed citations
9.
Moda‐Cirino, Vânia, et al.. (2012). Plant breeding at Instituto Agronômico do Paraná: IAPAR. Crop Breeding and Applied Biotechnology. 12(spe). 25–30. 19 indexed citations
10.
Bassoi, M. C., Carlos Roberto Riede, L. A. C. Campos, et al.. (2009). Cultivares de trigo: Embrapa e Iapar.. infoteca-e (Brazilian Agricultural Research Corporation). 6 indexed citations
11.
Riede, Carlos Roberto, et al.. (2007). IPR 118 - Bread wheat cultivar. Crop Breeding and Applied Biotechnology. 7(3). 329–331. 1 indexed citations
12.
Silva, A.C., et al.. (2006). 'IPR 111' Triticale cultivar. Crop Breeding and Applied Biotechnology. 6(3). 250–252.
13.
Costa, Á. S., et al.. (2003). Reaction of wheat genotypes to soil aluminum differential saturations. Brazilian Archives of Biology and Technology. 46(1). 19–25. 12 indexed citations
14.
Riede, Carlos Roberto, et al.. (2003). Genetic analysis of aluminum tolerance and grain quality in wheat (Triticum aestivum L.). Crop Breeding and Applied Biotechnology. 3(1). 61–68. 2 indexed citations
15.
Riede, Carlos Roberto & James A. Anderson. (1996). Linkage of RFLP Markers to an Aluminum Tolerance Gene in Wheat. Crop Science. 36(4). 905–909. 264 indexed citations
16.
Riede, Carlos Roberto, L. J. Francl, James A. Anderson, James G. Jordahl, & Steven W. Meinhardt. (1996). Additional Sources of Resistance to Tan Spot of Wheat. Crop Science. 36(3). 771–777. 50 indexed citations
17.
Riede, Carlos Roberto, N. D. Williams, & J. D. Miller. (1995). Wheat lines monogenic for resistance to stem rust from the wheat cultivar ‘Waldron’. Theoretical and Applied Genetics. 90(7-8). 1164–1168. 4 indexed citations
18.
Riede, Carlos Roberto, N. D. Williams, J. D. Miller, & L. R. Joppa. (1995). Chromosomal location of genes for stem rust resistance derived from ‘Waldron’ wheat. Theoretical and Applied Genetics. 90(7-8). 1158–1163. 3 indexed citations
19.
Riede, Carlos Roberto, et al.. (1994). Enhancement of RAPD Analysis by Restriction‐endonuclease Digestion of Template DNA in Wheat. Plant Breeding. 113(3). 254–257. 8 indexed citations
20.
Riede, Carlos Roberto, N. D. Williams, & J. D. Miller. (1985). Inheritance of Resistance to Stem Rust in the Wheat Cultivar Estanzuela Dakuru1. Crop Science. 25(4). 623–626. 4 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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