Marcelo Vivas

1.2k total citations
110 papers, 803 citations indexed

About

Marcelo Vivas is a scholar working on Plant Science, Agronomy and Crop Science and Cell Biology. According to data from OpenAlex, Marcelo Vivas has authored 110 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Plant Science, 21 papers in Agronomy and Crop Science and 16 papers in Cell Biology. Recurrent topics in Marcelo Vivas's work include Genetics and Plant Breeding (62 papers), Banana Cultivation and Research (33 papers) and Crop Yield and Soil Fertility (17 papers). Marcelo Vivas is often cited by papers focused on Genetics and Plant Breeding (62 papers), Banana Cultivation and Research (33 papers) and Crop Yield and Soil Fertility (17 papers). Marcelo Vivas collaborates with scholars based in Brazil, United States and Chile. Marcelo Vivas's co-authors include Antônio Teixeira do Amaral Júnior, Silvaldo Felipe da Silveira, Messias Gonzaga Pereira, Alexandre Pio Viana, Guilherme Ferreira Pena, Carlos Alberto Scapim, Samuel Henrique Kamphorst, Rogério Figueiredo Daher, Geraldo de Amaral Gravina and Rodrigo Moreira Ribeiro and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Plant Science.

In The Last Decade

Marcelo Vivas

102 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcelo Vivas Brazil	17	747	136	111	92	84	110	803
Silvaldo Felipe da Silveira Brazil	15	631 0.8×	31 0.2×	124 1.1×	19 0.2×	186 2.2×	78	686
Helaine Christine Cancela Ramos Brazil	15	604 0.8×	112 0.8×	210 1.9×	42 0.5×	10 0.1×	67	670
Jaime Sahagún‐Castellanos Mexico	12	416 0.6×	98 0.7×	26 0.2×	55 0.6×	47 0.6×	148	570
Giuseppina Logozzo Italy	15	921 1.2×	97 0.7×	9 0.1×	140 1.5×	57 0.7×	29	1000
Sompong Chankaew Thailand	17	749 1.0×	134 1.0×	18 0.2×	91 1.0×	36 0.4×	81	857
Vahdettin Çi̇ftçi̇ Türkiye	14	614 0.8×	120 0.9×	10 0.1×	72 0.8×	18 0.2×	59	692
Phinehas Tukamuhabwa Uganda	16	677 0.9×	68 0.5×	7 0.1×	83 0.9×	57 0.7×	76	742
Rajneesh Paliwal Nigeria	14	571 0.8×	160 1.2×	9 0.1×	157 1.7×	16 0.2×	37	645
N. Sivaraj India	13	326 0.4×	81 0.6×	36 0.3×	23 0.3×	15 0.2×	59	476
Juan Enrique Rodríguez-Pérez Mexico	11	314 0.4×	20 0.1×	27 0.2×	28 0.3×	49 0.6×	120	435

Countries citing papers authored by Marcelo Vivas

Since Specialization

Citations

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

Fields of papers citing papers by Marcelo Vivas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcelo Vivas

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Vivas, Marcelo, et al.. (2024). Characterization of Exserohilum isolates associated with northern corn leaf blight in Brazil. Indian Phytopathology. 77(2). 447–455.

Vivas, Marcelo, et al.. (2023). Diagrammatic scale for the quantification of black spot severity in papaya leaves. Acta Scientiarum Agronomy. 45. e60970–e60970. 1 indexed citations

Vivas, Marcelo, et al.. (2023). Pathogenicity of Bipolaris species associated with Southern corn leaf blight disease in Brazil. International Journal of Pest Management. 72(1). 48–57.

Ribeiro, Rodrigo Moreira, Antônio Teixeira do Amaral Júnior, Marcelo Vivas, et al.. (2022). Allelic Complementation in Hybrid Superiority of Popcorn to Multiple Foliar Diseases. Agronomy. 12(12). 3103–3103. 1 indexed citations

Daher, Rogério Figueiredo, et al.. (2022). Simultaneous selection for yield, adaptability and stability and repeatability coefficient in full-sib families of elephant grass for energy purposes via mixed models. Euphytica. 218(11). 3 indexed citations

Vivas, Marcelo, et al.. (2022). Characterization of the Bipolaris maydis: symptoms and pathogenicity in popcorn genotypes (Zea mays L.). Brazilian Journal of Biology. 84. e256799–e256799. 1 indexed citations

Vivas, Marcelo, et al.. (2021). Minimum number of measurements for efficient estimation of black spot resistance in papaya genotypes. European Journal of Plant Pathology. 161(3). 637–643. 1 indexed citations

Vivas, Marcelo, et al.. (2021). Selection for papaya resistance to multiple diseases in a base population of recurrent selection. Euphytica. 217(10). 3 indexed citations

Ramos, Helaine Christine Cancela, et al.. (2021). New source of alleles for resistance to black spot and phoma spot in papaya (Carica papaya L.). Euphytica. 217(6).

10.

Moulin, Monique Moreira, et al.. (2021). Reciprocal recurrent selection for obtaining water-deficit tolerant maize progeny. Ciência Rural. 52(5). 2 indexed citations

11.

Rodrigues, Erina Vitório, Rogério Figueiredo Daher, Geraldo de Amaral Gravina, et al.. (2020). Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production. SHILAP Revista de lepidopterología. 1 indexed citations

12.

Gravina, Geraldo de Amaral, et al.. (2020). Analysis of the phenotypic adaptability and stability of strains of cowpea through the GGE Biplot approach. Euphytica. 216(10). 17 indexed citations

13.

Coelho, Fábio Cunha, et al.. (2020). Performance of maize seedlings for baby corn production. Horticultura Brasileira. 38(4). 421–427. 2 indexed citations

14.

Júnior, Antônio Teixeira do Amaral, et al.. (2020). Selection of popcorn hybrids resistant to southern corn leaf blight grown in distinct N availability. European Journal of Plant Pathology. 158(2). 485–493. 9 indexed citations

15.

Júnior, Antônio Teixeira do Amaral, Janeo Eustáquio de Almeida Filho, Marcelo Vivas, et al.. (2020). Genomic selection helps accelerate popcorn population breeding. Crop Science. 60(3). 1373–1385. 6 indexed citations

16.

Vieira, Rafael Augusto, et al.. (2016). A nonparametric approach to selection popcorn hybrids to resistance to foliar diseases. Científica. 44(2). 165–169. 4 indexed citations

17.

Júnior, Antônio Teixeira do Amaral, et al.. (2015). Combining ability between tropical and temperate popcorn lines for seed quality and agronomic traits. Australian Journal of Crop Science. 9(4). 256–263. 12 indexed citations

18.

Scapim, Carlos Alberto, Rafael Augusto Vieira, Antônio Teixeira do Amaral Júnior, et al.. (2014). Performance of popcorn maize populations in South American Avatí Pichingá using diallel analysis. Australian Journal of Crop Science. 8(12). 1632–1638. 5 indexed citations

19.

Vivas, Marcelo, et al.. (2014). Comparison of microscopy techniques to visualize powdery mildew (Erysiphales) conidiophores.. Científica. 42(1). 46–46. 3 indexed citations

20.

Pereira, Messias Gonzaga, et al.. (2011). Testers for combining ability and selection of papaya hybrids resistant to fungal diseases. SHILAP Revista de lepidopterología. 3 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.

Explore authors with similar magnitude of impact