Eduardo Mendes

48 papers receiving 693 citations

Peers

Eduardo Mendes
Comparison fields: 5 of 67
  • Electrical and Electronic Engineering 446
  • Control and Systems Engineering 381
  • Mechanical Engineering 76
  • Electronic, Optical and Magnetic Materials 72
  • Computational Mechanics 52
Replace Marco Veneroni with:
Marco Veneroni Italy
Zhiqiang Gao China
Fanchao Kong China
Shaohua Chen China
Wenqiang Zhao China
Christian Herzog Germany
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Omar Kahouli Tunisia
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Eduardo Mendes relative to Marco Veneroni Italy Marco Veneroni's profile →
Citations per field
00.5×9.1×
Marco Veneroni · 1×
Citations per year

Countries citing papers authored by Eduardo Mendes

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Mendes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Mendes

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Mendes. A scholar is included among the top collaborators of Eduardo Mendes 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 Eduardo Mendes. Eduardo Mendes 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
#WorkIndexed citations
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Flexible Particle Markov chain Monte Carlo methods with an application to a factor stochastic volatility model
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6
On general sampling schemes for Particle Markov chain Monte Carlo methods
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7
Estimating High-Dimensional Time Series Models
7
8
Real World Embedded Multiagent Systems: Simulation of Hardware/Software Mixed Agent Societes in Realistic Physical Models.
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9 5
10 19
11
Comparing Cross- Vs. Within-Company Effort Estimation Models Using Interval Estimates
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12
Adaptive fuzzy PID controller: design, performance and application for travelling-wave ultrasonic motor
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13 25
14 5
15 10
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17 6
18 1
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About Eduardo Mendes

Eduardo Mendes is a scholar working on Statistics and Probability, Control and Systems Engineering and General Economics, Econometrics and Finance, having authored 53 papers that have together received 733 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (17 papers), Sensorless Control of Electric Motors (16 papers) and Multilevel Inverters and Converters (9 papers). The work is most often cited by research in Control and Systems Engineering (381 citations), Electrical and Electronic Engineering (446 citations) and Statistics and Probability (44 citations). Eduardo Mendes has collaborated with scholars based in France, Brazil and Australia. Frequent co-authors include Roméo Ortega, Marcelo C. Medeiros, Yves Bernard, G. Escobar, Adel Razek, Frédéric Bouillault, Gerardo Espinosa–Pérez, Laurent Lefèvre, Mohamed Becherif and Bastien Chopard. Their work appears in journals such as Journal of Computational Physics, IEEE Transactions on Industrial Electronics and Journal of Econometrics.

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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