Willingthon Pavan

1.1k total citations
41 papers, 420 citations indexed

About

Willingthon Pavan is a scholar working on Plant Science, Agronomy and Crop Science and Cell Biology. According to data from OpenAlex, Willingthon Pavan has authored 41 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 8 papers in Agronomy and Crop Science and 6 papers in Cell Biology. Recurrent topics in Willingthon Pavan's work include Wheat and Barley Genetics and Pathology (7 papers), Crop Yield and Soil Fertility (7 papers) and Mycotoxins in Agriculture and Food (6 papers). Willingthon Pavan is often cited by papers focused on Wheat and Barley Genetics and Pathology (7 papers), Crop Yield and Soil Fertility (7 papers) and Mycotoxins in Agriculture and Food (6 papers). Willingthon Pavan collaborates with scholars based in Brazil, United States and Mexico. Willingthon Pavan's co-authors include J. M. C. Fernandes, Emerson M. Del Ponte, Walter Baethgen, Senthold Asseng, Gerrit Hoogenboom, Kenneth J. Boote, Clyde W. Fraisse, Vakhtang Shelia, Cheryl Porter and Yan Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Climate Change and Frontiers in Plant Science.

In The Last Decade

Willingthon Pavan

34 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Willingthon Pavan Brazil 11 309 112 100 65 37 41 420
Andrea Maiorano Italy 11 330 1.1× 91 0.8× 117 1.2× 67 1.0× 19 0.5× 14 422
Francislene Angelotti Brazil 13 461 1.5× 110 1.0× 49 0.5× 22 0.3× 38 1.0× 69 580
Craig E. Kallsen United States 13 350 1.1× 83 0.7× 45 0.5× 24 0.4× 75 2.0× 38 464
Meikun Han China 8 251 0.8× 33 0.3× 42 0.4× 97 1.5× 106 2.9× 12 342
Rubí Raymundo United States 9 358 1.2× 48 0.4× 149 1.5× 72 1.1× 61 1.6× 14 511
NCD Barma Bangladesh 12 600 1.9× 51 0.5× 72 0.7× 238 3.7× 79 2.1× 26 683
David E. Yarborough United States 15 629 2.0× 76 0.7× 212 2.1× 14 0.2× 40 1.1× 62 753
Piotr Łakomy Poland 13 383 1.2× 144 1.3× 83 0.8× 12 0.2× 20 0.5× 83 564
Cándido López-Castañeda Mexico 8 620 2.0× 49 0.4× 39 0.4× 271 4.2× 56 1.5× 29 688
Zeyi Wang China 11 247 0.8× 61 0.5× 20 0.2× 32 0.5× 118 3.2× 27 385

Countries citing papers authored by Willingthon Pavan

Since Specialization
Citations

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

Fields of papers citing papers by Willingthon Pavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Willingthon Pavan

This figure shows the co-authorship network connecting the top 25 collaborators of Willingthon Pavan. A scholar is included among the top collaborators of Willingthon Pavan 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 Willingthon Pavan. Willingthon Pavan 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.
Krupnik, Timothy J., J. M. C. Fernandes, Emerson M. Del Ponte, et al.. (2025). A weather-forecast driven early warning system for wheat blast disease: User-centered design, validation, and scaling in Bangladesh and Brazil. Climate Services. 39. 100589–100589.
2.
Pequeno, Diego Noleto Luz, J. M. C. Fernandes, P. K. Singh, et al.. (2024). Production vulnerability to wheat blast disease under climate change. Nature Climate Change. 14(2). 178–183. 34 indexed citations
3.
Shelia, Vakhtang, et al.. (2024). Enhancing crop model parameter estimation across computing environments: Utilizing the GLUE method and parallel computing for determining genetic coefficients. Computers and Electronics in Agriculture. 227. 109513–109513. 5 indexed citations
4.
Jung, Jinyong, Jin‐Hee Kim, Chuloh Cho, et al.. (2022). Adapting to the projected epidemics of Fusarium head blight of wheat in Korea under climate change scenarios. Frontiers in Plant Science. 13. 1040752–1040752. 8 indexed citations
5.
Jones, James W., Willingthon Pavan, Mehul Bhakta, et al.. (2021). Incorporating a dynamic gene-based process module into a crop simulation model. 3(1). 10 indexed citations
6.
Pavan, Willingthon, J. M. C. Fernandes, Senthold Asseng, et al.. (2021). Coupling a Pest and Disease Damage Module with CSM-NWheat: A Wheat Crop Simulation Model. Transactions of the ASABE. 64(6). 2061–2071. 3 indexed citations
7.
Pavan, Willingthon, et al.. (2018). PROJETA platform: accessing high resolution climate change projections over Central and South America using the Eta model. Americanae (AECID Library). 26(1). 11 indexed citations
8.
Fraisse, Clyde W., et al.. (2018). Crop season planning tool: Adjusting sowing decisions to reduce the risk of extreme weather events. Computers and Electronics in Agriculture. 156. 62–70. 21 indexed citations
9.
10.
Fernandes, J. M. C., et al.. (2016). AgroDB – Integration of Database Management Systems with Crop Models. ScholarsArchive (Brigham Young University). 1 indexed citations
11.
Pavan, Willingthon, et al.. (2016). Mobile Application for Asian Soybean Rust Tracking in Brazil. 1903–1916.
12.
Pavan, Willingthon, et al.. (2015). Calibration of cropsim-wheat in the development of wheat in southern Brazil.. 10(3). 356–364. 3 indexed citations
13.
Fernandes, J. M. C., et al.. (2015). Calibração do cropsim-wheat para simulação do desenvolvimento e rendimento de grão de trigo no Sul do Brasil. Revista Brasileira de Ciências Agrárias - Brazilian Journal of Agricultural Sciences. 10(3). 356–364. 4 indexed citations
14.
Fernandes, J. M. C., Flávio Justino, Alexandre Bryan Heinemann, et al.. (2013). Asian soybean rust: modeling the impact on soybean grain yield in the Triângulo Mineiro/Alto Paranaíba region, Minas Gerais, Brazil. SHILAP Revista de lepidopterología. 2 indexed citations
15.
Pavan, Willingthon, et al.. (2012). Uma aplicação de realidade aumentada para dispositivo móvel com sistema operacional Android. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Pavan, Willingthon, et al.. (2011). Web Service para previsão de tempo e clima através de dados georeferenciados. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Fernandes, J. M. C., Willingthon Pavan, & Rosa Maria Valdebenito Sanhueza. (2011). SISALERT - A Generic Web-based Plant Disease Forecasting System.. 225–233. 5 indexed citations
18.
Pavan, Willingthon, et al.. (2009). Padrões de Projeto Aplicados a Modelos de Simulação do Crescimento e Desenvolvimento de Culturas. SHILAP Revista de lepidopterología. 2 indexed citations
19.
Pavan, Willingthon, Clyde W. Fraisse, & Natália A. Peres. (2009). Web-based Decision Support Tool for Timing Fungicide Applications in Strawberry. SHILAP Revista de lepidopterología. 2009(9). 4 indexed citations
20.
Fernandes, José A., et al.. (2004). Simulação da dinâmica do florescimento do trigo como base para um modelo de risco de giberela. Current Agricultural Science and Technology. 10(3). 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.

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