# École Centrale de Nantes

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/ecole-centrale-de-nantes/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 41 |
| Citations | 332,166 |
| City | Nantes |
| Country | FR |
| Description | École Centrale de Nantes is a research organisation in Nantes, FR. OpenAlex records 9,555 works and 332,166 citations for it. 1,766 researchers list it as their most recent affiliation. |
| Homepage | http://www.ec-nantes.fr/ |
| OpenAlex ID | https://openalex.org/I100445878 |
| Region | Pays de la Loire |
| Researchers | 1,766 |
| ROR ID | https://ror.org/03nh7d505 |
| Type | education |
| Works | 9,555 |

## University papers

Showing 12 of 13.

- [Salmonella enterica Serovar Typhimurium Exploits Inflammation to Compete with the Intestinal Microbiota](https://scholariq.org/papers/salmonella-enterica-serovar-typhimurium-exploits-inflammation-to-compete-with/)
- [Guidelines for the Diagnosis and Treatment of Primary Liver Cancer (2022 Edition)](https://scholariq.org/papers/guidelines-for-the-diagnosis-and-treatment-of-primary-liver-cancer-2022-edition/)
- [The use of next generation sequencing for improving food safety: Translation into practice](https://scholariq.org/papers/the-use-of-next-generation-sequencing-for-improving-food-safety-translation-into/)
- [Contribution of image analysis to the description of enzymatic degradation kinetics for particulate food material](https://scholariq.org/papers/contribution-of-image-analysis-to-the-description-of-enzymatic-degradation/)
- [Apple Trees Leaves Pathologies Detection using Deep Learning Convolutional Neural Network](https://scholariq.org/papers/apple-trees-leaves-pathologies-detection-using-deep-learning-convolutional/)
- [Gain Scheduling Real Time Control of Tank Water Level by PLC](https://scholariq.org/papers/gain-scheduling-real-time-control-of-tank-water-level-by-plc/)
- [Application d'outils fractals pour la classification d'images microscopiques de matières grasses laitières](https://scholariq.org/papers/application-d-outils-fractals-pour-la-classification-d-images-microscopiques-de/)
- [Impacts of the Numerical Calculation Methods on the Chaoticity of the Fractional Chaotic Systems](https://scholariq.org/papers/impacts-of-the-numerical-calculation-methods-on-the-chaoticity-of-the-fractional/)
- [Hybrid Machine Learning and Deep Learning CNN Models for Apple Trees Leaves Pathologies Classification](https://scholariq.org/papers/hybrid-machine-learning-and-deep-learning-cnn-models-for-apple-trees-leaves/)
- [Fractals, Complex Models and Artificial Evolution](https://scholariq.org/papers/fractals-complex-models-and-artificial-evolution/)
- [Application of fractal tools for the classification of microscopical images of milk fat](https://scholariq.org/papers/application-of-fractal-tools-for-the-classification-of-microscopical-images-of/)
- [Application Domains - Traitement d'images](https://scholariq.org/papers/application-domains-traitement-d-images/)

## University researchers

- [Ina Taralova](https://scholariq.org/researchers/ina-taralova/)

## University top topics

Showing 8 of 23.

- [Robotic Mechanisms and Dynamics](https://scholariq.org/topics/robotic-mechanisms-and-dynamics/)
- [Fluid Dynamics Simulations and Interactions](https://scholariq.org/topics/fluid-dynamics-simulations-and-interactions/)
- [Adaptive Control of Nonlinear Systems](https://scholariq.org/topics/adaptive-control-of-nonlinear-systems/)
- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)
- [Numerical methods in engineering](https://scholariq.org/topics/numerical-methods-in-engineering/)
- [Composite Material Mechanics](https://scholariq.org/topics/composite-material-mechanics/)
- [Fluid Dynamics and Vibration Analysis](https://scholariq.org/topics/fluid-dynamics-and-vibration-analysis/)
- [Concrete and Cement Materials Research](https://scholariq.org/topics/concrete-and-cement-materials-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.