Upload Records Snowball Search Search OpenAlex
About the database ScholarIQanswers from OpenAlex & ORCID
Stéphane Hubac
ResearcherPublications, citations & collaboration network
Stéphane Hubac is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 35 works, 108 citations, an h-index of 6 and an i10-index of 3.
35
Works
108
Citations
6
h-index
3
i10-index
IDs:OpenAlex
How has Stéphane Hubac's publication output changed over time?
ScholarIQpublication output · 2008–2021
Output declined50% over the shown period — from 2 works in 2008 to 1 in 2021.
2
1
2
1
1
2
1
2008201020112014201520162021
What are the most-cited papers on Stéphane Hubac?
ScholarIQmost cited works
Improving reliability engineering in product development based on design theory: the case of FMEA in the semiconductor industry
Benjamin Cabanes, Stéphane Hubac, Pascal Le Masson, Benoît Weil
S123543520. 202135 CitationsOPEN ACCESS
Experts’ knowledge renewal and maintenance actions effectiveness in high-mix low-volume industries, using Bayesian approach
Anis Ben Said, Muhammad Kashif Shahzad, Éric Zamaï, Stéphane Hubac, Michel Tollenaere
Cognition Technology & Work. 201517 Citations
Dependability of complex semiconductor systems: Learning Bayesian networks for decision support
Mohammed Farouk Bouaziz, Éric Zamaï, F. Duvivier, Stéphane Hubac
201115 Citations
Towards proactive maintenance actions scheduling in the Semiconductor Industry (SI) using Bayesian approach
Anis Ben Said, Muhammad-Kashif Shahzad, Éric Zamaï, Stéphane Hubac, Michel Tollenaere
IFAC-PapersOnLine. 20169 CitationsOPEN ACCESS
Risks analyses update based on maintenance events
A. Mili, Stéphane Hubac, Samuel Bassetto, Ali Siadat
S2898246533. 20087 Citations
Related on ScholarIQ
Improving reliability engineering in product development based on design theory: the case of FMEA in the semiconductor industry
Paper
Experts’ knowledge renewal and maintenance actions effectiveness in high-mix low-volume industries, using Bayesian approach
Paper
Dependability of complex semiconductor systems: Learning Bayesian networks for decision support
Paper
Towards proactive maintenance actions scheduling in the Semiconductor Industry (SI) using Bayesian approach
Paper
Risks analyses update based on maintenance events
Paper
A Bayesian network based approach to improve the effectiveness of maintenance actions in Semiconductor Industry
Paper