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Nadia Belu

ResearcherPublications, citations & collaboration network

Nadia Belu is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 58 works, 218 citations, an h-index of 8 and an i10-index of 6.

58
Works
218
Citations
8
h-index
6
i10-index

How has Nadia Belu's publication output changed over time?

ScholarIQpublication output · 2013–2023

Output declined67% over the shown period — from 3 works in 2013 to 1 in 2023.

3
2
3
1
1
1
201320152019202020212023

What are the most-cited papers on Nadia Belu?

ScholarIQmost cited works
Application of 8d methodology - an effective problem solving tool in automotive industry
Cristina Florena BANICA, Nadia Belu
University of Pitesti Scientific Bulletin - Automotive Series. 201922 CitationsOPEN ACCESS
A Matlab Neural Network Application for the Study of Working Conditions
Daniel-Constantin Anghel, Alexandru Ene, Nadia Belu
S67425620. 201317 CitationsOPEN ACCESS
Poka Yoke system based on image analysis and object recognition
Nadia Belu, Laurenţiu Mihai Ionescu, Agnieszka Misztal, Alin Gheorghita Mazare
S4210189194. 201514 CitationsOPEN ACCESS
Reducing the Cost of Electricity by Optimizing Real-Time Consumer Planning Using a New Genetic Algorithm-Based Strategy
Laurenţiu Mihai Ionescu, Nicu Bizon, Alin-Gheorghita Mazare, Nadia Belu
S4210192031. 202014 CitationsOPEN ACCESS
Ergonomics study on an assembly line used in the automotive industry
Daniel-Constantin Anghel, Eduard Niţu, Alin Daniel Rizea, Alin Gavriluță, Ana Gavriluță, Nadia Belu
MATEC Web of Conferences. 201913 CitationsOPEN ACCESS

Related on ScholarIQ

University of Pitesti
Institution
Application of 8d methodology - an effective problem solving tool in automotive industry
Paper
A Matlab Neural Network Application for the Study of Working Conditions
Paper
Poka Yoke system based on image analysis and object recognition
Paper
Reducing the Cost of Electricity by Optimizing Real-Time Consumer Planning Using a New Genetic Algorithm-Based Strategy
Paper
Ergonomics study on an assembly line used in the automotive industry
Paper
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