Arinan Dourado

449 total citations
20 papers, 307 citations indexed

About

Arinan Dourado is a scholar working on Mechanical Engineering, Statistics, Probability and Uncertainty and Mechanics of Materials. According to data from OpenAlex, Arinan Dourado has authored 20 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 8 papers in Statistics, Probability and Uncertainty and 6 papers in Mechanics of Materials. Recurrent topics in Arinan Dourado's work include Fatigue and fracture mechanics (6 papers), Probabilistic and Robust Engineering Design (5 papers) and Tribology and Lubrication Engineering (4 papers). Arinan Dourado is often cited by papers focused on Fatigue and fracture mechanics (6 papers), Probabilistic and Robust Engineering Design (5 papers) and Tribology and Lubrication Engineering (4 papers). Arinan Dourado collaborates with scholars based in United States and Brazil. Arinan Dourado's co-authors include Felipe Viana, Yigit Yucesan, Renato G. Nascimento, Valder Steffen, Aldemir Ap Cavalini, Fran Sérgio Lobato, Xiaomei Wang, Ali P. Gordon and Fabian Andres Lara-Molina and has published in prestigious journals such as Reliability Engineering & System Safety, Computers & Structures and Advanced Engineering Informatics.

In The Last Decade

Arinan Dourado

17 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arinan Dourado United States	9	108	106	71	69	62	20	307
Yigit Yucesan United States	10	164 1.5×	204 1.9×	82 1.2×	97 1.4×	82 1.3×	16	438
Shengtong Zhou China	9	112 1.0×	112 1.1×	24 0.3×	48 0.7×	56 0.9×	23	292
Renato G. Nascimento United States	8	76 0.7×	133 1.3×	89 1.3×	50 0.7×	32 0.5×	16	397
R. Fuentes United Kingdom	9	125 1.2×	85 0.8×	51 0.7×	178 2.6×	83 1.3×	18	366
Qin Yao China	12	134 1.2×	113 1.1×	23 0.3×	58 0.8×	36 0.6×	35	358
Yuqiao Zheng China	11	66 0.6×	118 1.1×	36 0.5×	127 1.8×	89 1.4×	55	376
Liangxian Gu China	13	96 0.9×	56 0.5×	22 0.3×	109 1.6×	112 1.8×	51	466
Guangsong Chen China	9	167 1.5×	232 2.2×	19 0.3×	80 1.2×	122 2.0×	37	412
Amélie Fau France	12	75 0.7×	28 0.3×	89 1.3×	133 1.9×	121 2.0×	33	446

Countries citing papers authored by Arinan Dourado

Since Specialization

Citations

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

Fields of papers citing papers by Arinan Dourado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arinan Dourado

This figure shows the co-authorship network connecting the top 25 collaborators of Arinan Dourado. A scholar is included among the top collaborators of Arinan Dourado 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 Arinan Dourado. Arinan Dourado 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

Wang, Xiaomei, et al.. (2024). Investigating Engineering Persistence through Expectancy Value Theory and Machine Learning Techniques. Papers on Engineering Education Repository (American Society for Engineering Education). 1 indexed citations

Dourado, Arinan, et al.. (2024). Categorical Variable Coding for Machine Learning in Engineering Education. 1–5.

Dourado, Arinan, et al.. (2024). Predicting Student Retention via Expectancy Value Theory Using Data Gathered before the Semester Begins. Papers on Engineering Education Repository (American Society for Engineering Education). 1 indexed citations

Dourado, Arinan, et al.. (2023). Kriging-Based Surrogate Controller for Robust Control of a Flexible Rotor Supported by Active Magnetic Bearings. Journal of Engineering for Gas Turbines and Power. 145(7).

Dourado, Arinan & Felipe Viana. (2022). Ensemble of hybrid neural networks to compensate for epistemic uncertainties: a case study in system prognosis. Soft Computing. 26(13). 6157–6173. 4 indexed citations

Wang, Xiaomei, et al.. (2022). Modeling Engineering Persistence through Expectancy Value Theory and Machine Learning Techniques. 2022 IEEE Frontiers in Education Conference (FIE). 1–9. 3 indexed citations

Yucesan, Yigit, Arinan Dourado, & Felipe Viana. (2021). A survey of modeling for prognosis and health management of industrial equipment. Advanced Engineering Informatics. 50. 101404–101404. 57 indexed citations

Dourado, Arinan & Felipe Viana. (2020). Physics-Informed Neural Networks for Missing Physics Estimation in Cumulative Damage Models: A Case Study in Corrosion Fatigue. Journal of Computing and Information Science in Engineering. 20(6). 92 indexed citations

Viana, Felipe, Renato G. Nascimento, Arinan Dourado, & Yigit Yucesan. (2020). Estimating model inadequacy in ordinary differential equations with physics-informed neural networks. Computers & Structures. 245. 106458–106458. 63 indexed citations

10.

Dourado, Arinan, et al.. (2020). Kriging Approach Dedicated to Represent Hydrodynamic Bearings. Journal of Engineering for Gas Turbines and Power. 143(6). 8 indexed citations

11.

Dourado, Arinan, et al.. (2020). A Nonstationary Uncertainty Model and Bayesian Calibration of Strain-Life Models. 6(1). 1 indexed citations

12.

Dourado, Arinan & Felipe Viana. (2020). Early life failures and services of industrial asset fleets. Reliability Engineering & System Safety. 205. 107225–107225. 8 indexed citations

13.

Dourado, Arinan & Felipe Viana. (2020). Physics-Informed Neural Networks for Bias Compensation in Corrosion-Fatigue. AIAA Scitech 2020 Forum. 11 indexed citations

14.

Dourado, Arinan, et al.. (2020). Bayesian Calibration of Strain-Life Models with Priors from Similar Alloys. AIAA Scitech 2020 Forum. 1 indexed citations

15.

Dourado, Arinan & Felipe Viana. (2019). Physics-Informed Neural Networks for Corrosion-Fatigue Prognosis. Annual Conference of the PHM Society. 11(1). 27 indexed citations

16.

Dourado, Arinan, et al.. (2019). A Bayesian Framework for Estimation of Strain Life Lower Bounds and its Application to IN617.

17.

Viana, Felipe, et al.. (2019). PML-UCF/pinn: Release 0.0.2. Zenodo (CERN European Organization for Nuclear Research). 9 indexed citations

18.

Dourado, Arinan, Fran Sérgio Lobato, Aldemir Ap Cavalini, & Valder Steffen. (2019). Fuzzy Reliability-Based Optimization for Engineering System Design. International Journal of Fuzzy Systems. 21(5). 1418–1429. 16 indexed citations

19.

Dourado, Arinan, et al.. (2018). Experimental validation of a robust model-based balancing approach. Journal of Vibration and Control. 25(2). 423–434. 3 indexed citations

20.

Cavalini, Aldemir Ap, Fabian Andres Lara-Molina, Arinan Dourado, & Valder Steffen. (2015). Fuzzy Uncertainty Analysis of a Tilting-Pad Journal Bearing. 2 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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