R. L. Gomide

471 total citations
21 papers, 320 citations indexed

About

R. L. Gomide is a scholar working on Plant Science, Soil Science and Agronomy and Crop Science. According to data from OpenAlex, R. L. Gomide has authored 21 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 7 papers in Soil Science and 4 papers in Agronomy and Crop Science. Recurrent topics in R. L. Gomide's work include Irrigation Practices and Water Management (4 papers), Plant Water Relations and Carbon Dynamics (3 papers) and Crop Yield and Soil Fertility (3 papers). R. L. Gomide is often cited by papers focused on Irrigation Practices and Water Management (4 papers), Plant Water Relations and Carbon Dynamics (3 papers) and Crop Yield and Soil Fertility (3 papers). R. L. Gomide collaborates with scholars based in Brazil, United States and Netherlands. R. L. Gomide's co-authors include E. A. Bastos, F. R. Freire Filho, P. C. Magalhães, R. E. Schaffert, Manoel Teixeira Souza, Adilson Kenji Kobayashi, Hugo Bruno Correa Molinari, B. F. de Oliveira, Fred A. van Eeuwijk and Martin P. Boer and has published in prestigious journals such as International Journal of Molecular Sciences, Theoretical and Applied Genetics and Plant Disease.

In The Last Decade

R. L. Gomide

17 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. L. Gomide Brazil 10 259 68 52 37 30 21 320
Neeraj Singh India 9 335 1.3× 61 0.9× 100 1.9× 23 0.6× 21 0.7× 50 429
J. Radović Serbia 7 237 0.9× 129 1.9× 25 0.5× 23 0.6× 26 0.9× 42 341
Ved Prakash India 11 333 1.3× 78 1.1× 53 1.0× 40 1.1× 9 0.3× 56 441
Dimitrios Baxevanos Greece 12 388 1.5× 173 2.5× 55 1.1× 60 1.6× 15 0.5× 29 466
Qiuwen Zhan China 10 189 0.7× 67 1.0× 72 1.4× 38 1.0× 24 0.8× 32 300
R. V. Singh India 9 233 0.9× 36 0.5× 16 0.3× 22 0.6× 16 0.5× 82 300
Azeem Iqbal Khan Pakistan 13 380 1.5× 60 0.9× 44 0.8× 23 0.6× 18 0.6× 47 473
Donn Beighley United States 6 205 0.8× 28 0.4× 36 0.7× 18 0.5× 16 0.5× 11 253
Xiaolong Yang China 7 345 1.3× 47 0.7× 53 1.0× 66 1.8× 20 0.7× 12 415
Sterling B. Blanche United States 10 335 1.3× 59 0.9× 78 1.5× 47 1.3× 16 0.5× 18 373

Countries citing papers authored by R. L. Gomide

Since Specialization
Citations

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

Fields of papers citing papers by R. L. Gomide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. L. Gomide. 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 R. L. Gomide. The network helps show where R. L. Gomide may publish in the future.

Co-authorship network of co-authors of R. L. Gomide

This figure shows the co-authorship network connecting the top 25 collaborators of R. L. Gomide. A scholar is included among the top collaborators of R. L. Gomide 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 R. L. Gomide. R. L. Gomide 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.
Souza, Manoel Teixeira, Nélson Oliveira, Adilson Kenji Kobayashi, et al.. (2019). Using Thermography to Confirm Genotypic Variation for Drought Response in Maize. International Journal of Molecular Sciences. 20(9). 2273–2273. 26 indexed citations
2.
Sousa, Carlos Antônio Ferreira de, Hugo Bruno Correa Molinari, Adilson Kenji Kobayashi, et al.. (2017). A procedure for maize genotypes discrimination to drought by chlorophyll fluorescence imaging rapid light curves. Plant Methods. 13(1). 61–61. 35 indexed citations
3.
Gomide, R. L., et al.. (2014). Evapotranspiration and energy balance components spatial distribution in the north region of Minas Gerais, Brazil, using the SEBAL model and Landsat 5 TM images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9239. 92390K–92390K.
4.
Malosetti, Marcos, Martin P. Boer, F. D. Tardin, et al.. (2012). Studying the genetic basis of drought tolerance in sorghum by managed stress trials and adjustments for phenological and plant height differences. Theoretical and Applied Genetics. 124(8). 1389–1402. 83 indexed citations
5.
Bastos, E. A., et al.. (2011). Identification of cowpea genotypes for drought tolerance. Ciência Agronômica/Revista ciência agronômica. 42(1). 100–107. 64 indexed citations
6.
Gomide, R. L., S. N. Parentoni, P. E. de O. Guimarães, et al.. (2010). Evaluation of maize core collection for drought tolerance. Crop Breeding and Applied Biotechnology. 10(4). 312–320. 11 indexed citations
7.
Heinemann, Alexandre Bryan, et al.. (2009). Padrões de deficiência hídrica para a cultura de milho (safra normal e safrinha) no estado de Goiás e suas conseqüencias para o melhoramento genético. Ciência e Agrotecnologia. 33(4). 1026–1033. 11 indexed citations
8.
Gomide, R. L., et al.. (2008). Agrometeorologia e otimização do uso da água na irrigação.. Americanae (AECID Library). 1 indexed citations
9.
Neto, Pedro Henrique Weirich, et al.. (2006). Análise multivariada da resistência do solo à penetração sob plantio direto. Ciência Rural. 36(4). 1186–1192. 10 indexed citations
10.
Gomide, R. L., et al.. (2005). Caracterização de Estresse Hídrico de Duas Linhagens de Milho (Zea mays L.) com Sondas de Fluxo de Seiva. Revista Brasileira de Milho e Sorgo. 4(3). 344–354. 3 indexed citations
11.
Oliveira, Maurílio Fernandes de, et al.. (2004). Sorção do herbicida imazaquin em Latossolo sob plantio direto e convencional. Pesquisa Agropecuária Brasileira. 39(8). 787–793. 16 indexed citations
12.
Gomide, R. L., et al.. (2003). Avaliação de métodos automáticos de limiarização para imagens de plantas de milho atacadas por Spodoptera frugiperda. Revista Brasileira de Engenharia Agrícola e Ambiental. 7(2). 359–366. 2 indexed citations
13.
Oliveira, Elizabeth de, P. C. Magalhães, R. L. Gomide, et al.. (2002). Growth and Nutrition of Mollicute-Infected Maize. Plant Disease. 86(9). 945–949. 26 indexed citations
14.
Gomide, R. L., et al.. (2002). Monitoramento automático de fluxo de seiva com sondas de balanço de energia e caracterização de estresse hídrico de duas linhagens de milho (Zea mays L.).. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).
15.
16.
Magalhães, P. C., et al.. (2001). Aspectos fisiológicos de plantas de milho infectadas por molicutes sob diferentes níveis de água no solo. 13(3). 293–301. 4 indexed citations
17.
Gomide, R. L., P. C. Magalhães, J. M. Waquil, & Williams Pinto Marques Ferreira. (1998). Avaliação do estresse hídrico em cultivares de milho e sorgo por meio de um gradiente contínuo de irrigação.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).
18.
Gomide, R. L., et al.. (1997). Índice de estresse hídrico da cultura do feijoeiro irrigado..
19.
Luchiari, A., Susan J. Riha, & R. L. Gomide. (1997). Energy balance in irrigated wheat in the cerrados region of Central Brazil. Scientia Agricola. 54(spe). 78–88. 4 indexed citations
20.
Gomide, R. L., et al.. (1980). Modelo matemático para determinar a uniformidade de distribuição da água no sistema de irrigação por aspersão.. Americanae (AECID Library). 1 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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