Carlos Nick

513 total citations
50 papers, 355 citations indexed

About

Carlos Nick is a scholar working on Plant Science, Soil Science and Cell Biology. According to data from OpenAlex, Carlos Nick has authored 50 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 12 papers in Soil Science and 6 papers in Cell Biology. Recurrent topics in Carlos Nick's work include Growth and nutrition in plants (12 papers), Banana Cultivation and Research (10 papers) and Irrigation Practices and Water Management (8 papers). Carlos Nick is often cited by papers focused on Growth and nutrition in plants (12 papers), Banana Cultivation and Research (10 papers) and Irrigation Practices and Water Management (8 papers). Carlos Nick collaborates with scholars based in Brazil, United States and Cuba. Carlos Nick's co-authors include Samuel Pereira de Carvalho, Derly José Henriques da Silva, Éder Cristian Malta de Lanes, Sérgio Yoshimitsu Motoike, Kacilda Naomi Kuki, Fernando França da Cunha, Maria da Glória Carvalho, Edgard Augusto de Toledo Picoli, Cosme Damião Cruz and Laércio Junio da Silva and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Carlos Nick

48 papers receiving 342 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 Nick Brazil 10 286 64 39 37 25 50 355
Marco Antônio Aparecido Barelli Brazil 10 291 1.0× 37 0.6× 25 0.6× 40 1.1× 14 0.6× 80 348
Medagam Thirupathi Reddy India 11 246 0.9× 38 0.6× 43 1.1× 17 0.5× 23 0.9× 41 313
RK Sharma India 12 276 1.0× 77 1.2× 54 1.4× 73 2.0× 12 0.5× 45 373
R. V. Singh India 9 233 0.8× 22 0.3× 16 0.4× 26 0.7× 16 0.6× 82 300
Flávia Maria Avelar Gonçalves Brazil 11 304 1.1× 19 0.3× 53 1.4× 18 0.5× 17 0.7× 60 376
Vasileios Greveniotis Greece 12 266 0.9× 22 0.3× 27 0.7× 33 0.9× 10 0.4× 37 312
Rajeev Kumar India 9 264 0.9× 23 0.4× 40 1.0× 49 1.3× 11 0.4× 51 355
Willian Krause Brazil 11 317 1.1× 30 0.5× 11 0.3× 50 1.4× 14 0.6× 76 374
Casper Nyaradzai Kamutando Zimbabwe 8 252 0.9× 34 0.5× 22 0.6× 99 2.7× 60 2.4× 36 338
Abush Tesfaye Ethiopia 13 341 1.2× 12 0.2× 48 1.2× 38 1.0× 42 1.7× 56 426

Countries citing papers authored by Carlos Nick

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Nick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Nick

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Nick. A scholar is included among the top collaborators of Carlos Nick 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 Nick. Carlos Nick 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
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Nick, Carlos, et al.. (2024). Tomato families possessing resistance to late blight also display high-quality fruit. Acta Scientiarum Agronomy. 46(1). e66790–e66790. 1 indexed citations
4.
Nick, Carlos, et al.. (2023). Evapotranspiration and crop coefficient of Physalis peruviana cultivated with recycled paper as mulch. Scientia Horticulturae. 320. 112212–112212. 5 indexed citations
5.
Azevedo, Alcinei Mí­stico, et al.. (2023). Combining deep learning and X-ray imaging technology to assess tomato seed quality. Scientia Agricola. 80. 4 indexed citations
6.
Valente, Domingos Sárvio Magalhães, et al.. (2023). Remote sensing and machine learning techniques for high throughput phenotyping of late blight-resistant tomato plants in open field trials. International Journal of Remote Sensing. 44(6). 1900–1921. 9 indexed citations
7.
Nick, Carlos, et al.. (2023). Uncovering tomato candidate genes associated with drought tolerance using Solanum pennellii introgression lines. PLoS ONE. 18(6). e0287178–e0287178. 7 indexed citations
8.
Nick, Carlos, et al.. (2023). Determination of the Permanent Wilting Point of Physalis peruviana L.. Horticulturae. 9(8). 873–873. 4 indexed citations
9.
Rocha, João Romero do Amaral Santos de Carvalho, et al.. (2022). Multi-trait selection of tomato introgression lines under drought-induced conditions at germination and seedling stages. Acta Scientiarum Agronomy. 44. e55876–e55876. 2 indexed citations
10.
Rocha, João Romero do Amaral Santos de Carvalho, et al.. (2021). Spatial modeling increases accuracy of selection for Phytophthora infestans‐resistant tomato genotypes. Crop Science. 61(6). 3919–3930. 2 indexed citations
11.
Picoli, Edgard Augusto de Toledo, et al.. (2021). Yield and fruit quality attributes of selected tomato introgression lines subjected to long-term deficit irrigation. Scientia Horticulturae. 289. 110426–110426. 23 indexed citations
12.
Silva, Laércio Junio da, et al.. (2021). Uncovering tomato candidate genes for seed germination performance and seedling vigour using the Solanum pennellii introgression line population. Scientia Horticulturae. 284. 110134–110134. 4 indexed citations
13.
Donato, Sérgio Luíz Rodrigues, et al.. (2020). Estimating leaf area of prata-type banana plants with lanceolate type leaves. Revista Brasileira de Fruticultura. 42(4). 4 indexed citations
14.
Picoli, Edgard Augusto de Toledo, et al.. (2020). Evaluation of anatomical and physiological traits of Solanum pennellii Cor. associated with plant yield in tomato plants under water-limited conditions. Scientific Reports. 10(1). 16052–16052. 16 indexed citations
15.
Nick, Carlos, et al.. (2019). Selection of squash “Menina Brasileira” carrying the allele “Bush” with high yield potential. Horticultura Brasileira. 37(1). 35–39. 3 indexed citations
16.
Silva, Derly José Henriques da, et al.. (2015). Sistema Viçosa para o cultivo de tomateiro. Horticultura Brasileira. 33(1). 74–79. 3 indexed citations
17.
Carvalho, Samuel Pereira de, et al.. (2013). Avaliação agronômica de cultivares e clones de mandioca em área irrigada no Norte de Minas Gerais.. Scientia agrária paranaensis/Revista scientia agrária paranaensis. 12(3). 205–210. 1 indexed citations
18.
Lanes, Éder Cristian Malta de, et al.. (2013). Genomic DNA isolation of Acrocomia aculeata (Arecaceae) from leaf and stipe tissue samples for PCR analysis. Genetics and Molecular Research. 12(3). 3905–3911. 9 indexed citations
19.
Nick, Carlos, et al.. (2008). Genetic dissimilarity in cassava clones determined by multivariate techniques. SHILAP Revista de lepidopterología. 7 indexed citations
20.
Carvalho, Samuel Pereira de, et al.. (2008). Field performance of vegetative and seed propagated plants of coffee (Coffea arabica L.). Coffee Science. 3(2). 108–114. 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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