Isis Didier Lins

1.4k total citations
69 papers, 1.1k citations indexed

About

Isis Didier Lins is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Radiological and Ultrasound Technology. According to data from OpenAlex, Isis Didier Lins has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics, Probability and Uncertainty, 19 papers in Safety, Risk, Reliability and Quality and 11 papers in Radiological and Ultrasound Technology. Recurrent topics in Isis Didier Lins's work include Risk and Safety Analysis (18 papers), Reliability and Maintenance Optimization (13 papers) and Occupational Health and Safety Research (11 papers). Isis Didier Lins is often cited by papers focused on Risk and Safety Analysis (18 papers), Reliability and Maintenance Optimization (13 papers) and Occupational Health and Safety Research (11 papers). Isis Didier Lins collaborates with scholars based in Brazil, Chile and United States. Isis Didier Lins's co-authors include Enrique López Droguett, Márcio das Chagas Moura, Enrico Zio, Caio Bezerra Souto Maior, Moacyr Araújo, Marcus Silva, Meng Xu, Rodrigo Pascual, Leandro Chaves Rêgo and Ana Paula Cabral Seixas Costa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Hydrogen Energy.

In The Last Decade

Isis Didier Lins

62 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isis Didier Lins Brazil 16 263 255 171 136 120 69 1.1k
Faisal Khan Ireland 21 1.1k 4.1× 389 1.5× 246 1.4× 350 2.6× 174 1.4× 59 2.1k
Konstantinos G. Papakonstantinou United States 18 284 1.1× 320 1.3× 220 1.3× 106 0.8× 147 1.2× 62 1.2k
Stephen M. Batill United States 24 536 2.0× 89 0.3× 204 1.2× 239 1.8× 91 0.8× 101 1.9k
Poong Hyun Seong South Korea 25 1.1k 4.1× 303 1.2× 471 2.8× 72 0.5× 169 1.4× 161 2.0k
A. Srividya India 12 292 1.1× 234 0.9× 196 1.1× 145 1.1× 58 0.5× 71 850
Luca Podofillini Switzerland 25 1.2k 4.6× 972 3.8× 217 1.3× 138 1.0× 106 0.9× 56 2.0k
K.V. Diegert United States 7 318 1.2× 70 0.3× 70 0.4× 68 0.5× 35 0.3× 11 618
Zhiguo Zeng France 21 701 2.7× 646 2.5× 343 2.0× 111 0.8× 65 0.5× 63 1.4k
Bing Han China 20 252 1.0× 40 0.2× 109 0.6× 149 1.1× 134 1.1× 109 1.4k

Countries citing papers authored by Isis Didier Lins

Since Specialization
Citations

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

Fields of papers citing papers by Isis Didier Lins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isis Didier Lins. 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 Isis Didier Lins. The network helps show where Isis Didier Lins may publish in the future.

Co-authorship network of co-authors of Isis Didier Lins

This figure shows the co-authorship network connecting the top 25 collaborators of Isis Didier Lins. A scholar is included among the top collaborators of Isis Didier Lins 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 Isis Didier Lins. Isis Didier Lins 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.
Lins, Isis Didier, et al.. (2025). Quantum-based optimization methods for the linear redundancy allocation problem: A comparative analysis. Reliability Engineering & System Safety. 262. 111153–111153.
2.
Maior, Caio Bezerra Souto, et al.. (2025). Machine Learning for Long COVID Inference Based on the Acute Phase: A Case Study in Healthcare Professionals. IEEE Access. 13. 54019–54027.
3.
Maior, Caio Bezerra Souto, et al.. (2025). Machine learning for hydrogen storage applications: An exploration of the current literature. International Journal of Hydrogen Energy. 151. 150219–150219. 2 indexed citations
4.
Lins, Isis Didier, et al.. (2024). Selection and classification of COVID-19 CT images using artificial intelligence: A case study in a Brazilian university hospital. Biomedical Signal Processing and Control. 97. 106687–106687. 2 indexed citations
5.
Lins, Isis Didier, et al.. (2024). Quantum machine learning for drowsiness detection with EEG signals. Process Safety and Environmental Protection. 186. 1197–1213. 10 indexed citations
6.
Lins, Isis Didier, et al.. (2023). Reliability Criteria Estimation of O & G Industry Equipment in the Concept Selection Process. 2314–2315. 1 indexed citations
7.
Maior, Caio Bezerra Souto, et al.. (2023). Using experts’ opinion for Bayesian prior reliability distribution of on-demand equipment: A case study of a novel sliding sleeve valve for open-hole wells. Reliability Engineering & System Safety. 238. 109430–109430. 3 indexed citations
8.
Lins, Isis Didier, et al.. (2023). Software Reliability Analysis in the O & G Industry: A Review with Applications. 2413–2414. 1 indexed citations
9.
Maior, Caio Bezerra Souto, et al.. (2023). Human Factor Identification in Aviation Accidents Using Contextual Word Embeddings. 2603–2610. 1 indexed citations
10.
Maior, Caio Bezerra Souto, Isis Didier Lins, Márcio das Chagas Moura, et al.. (2022). Seroprevalence of SARS-CoV-2 on health professionals via Bayesian estimation: a Brazilian case study before and after vaccines. Acta Tropica. 233. 106551–106551. 5 indexed citations
11.
Lins, Isis Didier, Caio Bezerra Souto Maior, José Cândido Ferraz, et al.. (2022). SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers. PLoS ONE. 17(3). e0265016–e0265016. 4 indexed citations
12.
13.
Maior, Caio Bezerra Souto, et al.. (2022). Proposal of a Test Protocol for Reliability Evaluation of O&G Equipment. 1775–1781. 1 indexed citations
14.
Maior, Caio Bezerra Souto, et al.. (2021). Bayesian prior distribution based on generic data and experts’ opinion: A case study in the O&G industry. Journal of Petroleum Science and Engineering. 210. 109891–109891. 8 indexed citations
15.
Ramos, Marília, et al.. (2021). The Use of Game Theory for Autonomous Systems Safety: An Overview. Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021). 2494–2501. 3 indexed citations
16.
Moura, Márcio das Chagas, et al.. (2020). A multi-objective approach for solving a replacement policy problem for equipment subject to imperfect repairs. Applied Mathematical Modelling. 86. 1–19. 9 indexed citations
17.
Lins, Isis Didier, et al.. (2018). Estudo de caso de um sistema de filas em um supermercado de médio porte em Recife-PE. Anais ... Encontro Nacional de Engenharia de Produção.
18.
Moura, Márcio das Chagas, et al.. (2017). Embedding resilience in the design of the electricity supply for industrial clients. PLoS ONE. 12(11). e0188875–e0188875. 14 indexed citations
19.
Lins, Isis Didier, et al.. (2013). Failure Prediction of Oil Wells by Support Vector Regression with Variable Selection, Hyperparameter Tuning and Uncertainty Analysis. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Lins, Isis Didier & Enrique López Droguett. (2010). Redundancy allocation problems considering systems with imperfect repairs using multi-objective genetic algorithms and discrete event simulation. Simulation Modelling Practice and Theory. 19(1). 362–381. 74 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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