Michel Bessani

514 total citations
40 papers, 337 citations indexed

About

Michel Bessani is a scholar working on Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality and Civil and Structural Engineering. According to data from OpenAlex, Michel Bessani has authored 40 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 16 papers in Safety, Risk, Reliability and Quality and 12 papers in Civil and Structural Engineering. Recurrent topics in Michel Bessani's work include Power System Reliability and Maintenance (14 papers), Optimal Power Flow Distribution (9 papers) and Infrastructure Resilience and Vulnerability Analysis (6 papers). Michel Bessani is often cited by papers focused on Power System Reliability and Maintenance (14 papers), Optimal Power Flow Distribution (9 papers) and Infrastructure Resilience and Vulnerability Analysis (6 papers). Michel Bessani collaborates with scholars based in Brazil, Portugal and Poland. Michel Bessani's co-authors include Carlos Dias Maciel, J. London, Júlio A. D. Massignan, Alexandre C. B. Delbem, Vladimiro Miranda, Francisco Assis Carvalho Vale, Lucas S. Batista, Anderson da Silva Soares, Jorge Alberto Achcar and Benvindo Rodrigues Pereira and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Smart Grid and IEEE Transactions on Power Delivery.

In The Last Decade

Michel Bessani

36 papers receiving 329 citations

Peers

Michel Bessani
Sui Peng China
Yushi Tan United States
Amarachi Umunnakwe United States
Shikhar Pandey United States
Leon Thurner Germany
Michel Bessani
Citations per year, relative to Michel Bessani Michel Bessani (= 1×) peers Júlio A. D. Massignan

Countries citing papers authored by Michel Bessani

Since Specialization
Citations

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

Fields of papers citing papers by Michel Bessani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Bessani

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Bessani. A scholar is included among the top collaborators of Michel Bessani 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 Michel Bessani. Michel Bessani 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.
Bessani, Michel, et al.. (2025). Multi-Agent Genetic Algorithm for Bayesian networks structural learning. Knowledge-Based Systems. 310. 113025–113025.
2.
Bessani, Michel, et al.. (2023). Vulnerability and Recovery Capacity Assessment of Real Distribution Systems. Journal of Control Automation and Electrical Systems. 34(5). 1054–1069. 1 indexed citations
3.
Bessani, Michel, et al.. (2023). A model for optimal energy management in a microgrid using biogas. Evolutionary Intelligence. 17(3). 1677–1695. 5 indexed citations
4.
Bessani, Michel, et al.. (2023). Evolving Dynamic Bayesian Networks for CO2 Emissions Forecasting in Multi-Source Power Generation Systems. IEEE Latin America Transactions. 21(9). 1022–1031. 3 indexed citations
5.
Morillo, Carlos A., et al.. (2022). Machine learning for atrial fibrillation risk prediction in patients with sleep apnea and coronary artery disease. Frontiers in Cardiovascular Medicine. 9. 1050409–1050409. 4 indexed citations
6.
Massignan, Júlio A. D., et al.. (2022). Bayesian Inference Approach for Information Fusion in Distribution System State Estimation. 2022 IEEE Power & Energy Society General Meeting (PESGM). 1–1.
7.
Silva, Ivan Nunes da, et al.. (2022). Evolving Dynamic Bayesian Networks by an Analytical Threshold for Dealing with Data Imputation in Time Series Dataset. Big Data Research. 28. 100316–100316. 1 indexed citations
8.
Bessani, Michel, et al.. (2022). Interpretable risk models for Sleep Apnea and Coronary diseases from structured and non-structured data. Expert Systems with Applications. 200. 116955–116955. 2 indexed citations
9.
Massignan, Júlio A. D., et al.. (2021). Bayesian Inference Approach for Information Fusion in Distribution System State Estimation. IEEE Transactions on Smart Grid. 13(1). 526–540. 45 indexed citations
12.
Bessani, Michel, et al.. (2019). Stochastic indexes for power distribution systems resilience analysis. IET Generation Transmission & Distribution. 13(12). 2507–2516. 13 indexed citations
13.
Bessani, Michel, et al.. (2019). An analytical threshold for combining Bayesian Networks. Knowledge-Based Systems. 175. 36–49. 19 indexed citations
14.
15.
Vale, Francisco Assis Carvalho, et al.. (2018). Dependence between cognitive impairment and metabolic syndrome applied to a Brazilian elderly dataset. Artificial Intelligence in Medicine. 90. 53–60. 9 indexed citations
16.
Bessani, Michel, et al.. (2018). Probabilistic Assessment of Power Distribution Systems Resilience Under Extreme Weather. IEEE Systems Journal. 13(2). 1747–1756. 75 indexed citations
17.
Nakagawa, Theresa Helissa, et al.. (2017). Identification of Directed Interactions in Kinematic Data during Running. Frontiers in Bioengineering and Biotechnology. 5. 67–67.
18.
Massignan, Júlio A. D., et al.. (2017). Modeling issues on load flow calculation for meshed distribution systems. 1–6. 1 indexed citations
19.
Bessani, Michel, et al.. (2017). A hierarchical framework for complex networks robustness analysis to errors. 1–8. 3 indexed citations
20.
Bessani, Michel, et al.. (2016). A statistical analysis and modeling of repair data from a Brazilian Power Distribution System. 473–477. 12 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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