Seydou Traoré

722 total citations
21 papers, 523 citations indexed

About

Seydou Traoré is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Seydou Traoré has authored 21 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 11 papers in Global and Planetary Change and 7 papers in Water Science and Technology. Recurrent topics in Seydou Traoré's work include Hydrological Forecasting Using AI (12 papers), Plant Water Relations and Carbon Dynamics (10 papers) and Hydrology and Watershed Management Studies (6 papers). Seydou Traoré is often cited by papers focused on Hydrological Forecasting Using AI (12 papers), Plant Water Relations and Carbon Dynamics (10 papers) and Hydrology and Watershed Management Studies (6 papers). Seydou Traoré collaborates with scholars based in Taiwan, France and United States. Seydou Traoré's co-authors include Yu‐Min Wang, Tienfuan Kerh, David Allouche, Sophie Barbe, Thomas Schiex, Isabelle André, Simon de Givry, George Katsirelos, Yufeng Luo and Weiguang Wang and has published in prestigious journals such as Bioinformatics, Journal of Computational Chemistry and Artificial Intelligence.

In The Last Decade

Seydou Traoré

20 papers receiving 491 citations

Peers

Seydou Traoré

GPC

WST

Lu Xu China

Jingwen Xu China

Gregory J. Ewing United States

Liwen Xing China

Amandeep Singh Bhatia India

Xiaozheng Guo China

Dimitrios Fotakis Greece

Samia A. Ali Egypt

Wenping Deng China

Lu Xu China

Seydou Traoré

179 ×0.6

GPC

183 ×0.9

59 ×0.4

WST

47 ×0.5

65 ×0.8

Citations per year, relative to Seydou Traoré Seydou Traoré (= 1×) peers Lu Xu

Countries citing papers authored by Seydou Traoré

Since Specialization

Citations

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

Fields of papers citing papers by Seydou Traoré

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seydou Traoré

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

All Works

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20 of 20 papers shown

Traoré, Seydou, et al.. (2024). On Models of Population Evolution of Three Interacting Species. 6. 193–223.

Zhang, Lei, et al.. (2023). Short-term daily reference evapotranspiration forecasting using temperature-based deep learning models in different climate zones in China. Agricultural Water Management. 289. 108498–108498. 21 indexed citations

Traoré, Seydou, et al.. (2022). Spectral Dichotomy Methods of a Matrix with respect to the General Equation of the Parabola. European Journal of Pure and Applied Mathematics. 15(2). 681–725. 1 indexed citations

Traoré, Seydou, David Allouche, Isabelle André, Thomas Schiex, & Sophie Barbe. (2016). Deterministic Search Methods for Computational Protein Design. Methods in molecular biology. 1529. 107–123. 7 indexed citations

Yang, Yang, Yuanlai Cui, Yufeng Luo, et al.. (2016). Short-term forecasting of daily reference evapotranspiration using the Penman-Monteith model and public weather forecasts. Agricultural Water Management. 177. 329–339. 66 indexed citations

Traoré, Seydou, Kyle E. Roberts, David Allouche, et al.. (2016). Fast search algorithms for computational protein design. Journal of Computational Chemistry. 37(12). 1048–1058. 22 indexed citations

Allouche, David, Isabelle André, Sophie Barbe, et al.. (2014). Computational protein design as an optimization problem. Artificial Intelligence. 212. 59–79. 36 indexed citations

Traoré, Seydou, et al.. (2014). Predictive accuracy of backpropagation neural network methodology in evapotranspiration forecasting in Dédougou region, western Burkina Faso. Journal of Earth System Science. 123(2). 307–318. 7 indexed citations

Traoré, Seydou, David Allouche, Isabelle André, et al.. (2013). A new framework for computational protein design through cost function network optimization. Bioinformatics. 29(17). 2129–2136. 44 indexed citations

10.

Chen, Li, Shuh‐Ji Kao, & Seydou Traoré. (2012). Predicting and managing reservoir total phosphorus by using modified grammatical evolution coupled with a macro-genetic algorithm. Environmental Modelling & Software. 38. 89–100. 7 indexed citations

11.

Wang, Yu‐Min, et al.. (2010). MODELLING REFERENCE EVAPOTRANSPIRATION USING FEED FORWARD BACKPROPAGATION ALGORITHM IN ARID REGIONS OF AFRICA. Irrigation and Drainage. 60(3). 404–417. 26 indexed citations

12.

Traoré, Seydou, Yu‐Min Wang, & Tienfuan Kerh. (2010). Artificial neural network for modeling reference evapotranspiration complex process in Sudano-Sahelian zone. Agricultural Water Management. 97(5). 707–714. 140 indexed citations

13.

Kerh, Tienfuan, et al.. (2009). Neural networks approaches for modelling river suspended sediment concentration due to tropical storms.. Global NEST Journal. 11(4). 457–466. 17 indexed citations

14.

Traoré, Seydou, et al.. (2009). Computational performance of reference evapotranspiration in semiarid zone of Africa.. Scientific Research and Essays. 4(6). 577–583. 12 indexed citations

15.

Wang, Yu‐Min & Seydou Traoré. (2009). Time-lagged recurrent network for forecasting episodic event suspended sediment load in typhoon prone area.. International Journal of the Physical Sciences. 4(9). 519–528. 28 indexed citations

16.

Wang, Yu‐Min, Seydou Traoré, & Tienfuan Kerh. (2008). Using artificial neural networks for modeling suspended sediment concentration. 108–113. 7 indexed citations

17.

Wang, Yu‐Min, Seydou Traoré, & Tienfuan Kerh. (2008). Monitoring event-based suspended sediment concentration by artificial neural network models. WSEAS Transactions on Computers archive. 7(5). 559–568. 18 indexed citations

18.

Traoré, Seydou, Yu‐Min Wang, & Tienfuan Kerh. (2008). Modeling reference evapotranspiration by generalized regression neural network in semiarid zone of Africa. WSEAS Transactions on Information Science and Applications archive. 5(6). 991–1000. 11 indexed citations

19.

Wang, Yu‐Min, Seydou Traoré, & Tienfuan Kerh. (2008). Feed forward backpropagation algorithm for estimating reference evapotranspiration in Burkina Faso. Annual Conference on Computers. 524–529. 1 indexed citations

20.

Wang, Yu‐Min, Seydou Traoré, & Tienfuan Kerh. (2008). Neural network approach for estimating reference evapotranspiration from limited climatic data in Burkina Faso. WSEAS Transactions on Computers archive. 7(6). 704–713. 31 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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