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Marjan Yaghoubi

ResearcherPublications, citations & collaboration network

Marjan Yaghoubi is a researcher indexed in ScholarIQ from OpenAlex & ORCID.

How many works does Marjan Yaghoubi have?

ScholarIQindexed works

Marjan Yaghoubi has 7 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Marjan Yaghoubi have?

ScholarIQcitation count

Marjan Yaghoubi has 315 citations in the OpenAlex counts ScholarIQ stores.

What is the h-index of Marjan Yaghoubi?

ScholarIQh-index

Marjan Yaghoubi has an h-index of 5 in OpenAlex.

What is the i10-index of Marjan Yaghoubi?

ScholarIQi10-index

Marjan Yaghoubi has an i10-index of 5 in OpenAlex.

What is the ORCID of Marjan Yaghoubi?

ScholarIQorcid

The ORCID for Marjan Yaghoubi is on the source record.

What is the OpenAlex record for Marjan Yaghoubi?

ScholarIQopenalex

The OpenAlex for Marjan Yaghoubi is on the source record.

What are the most-cited papers on Marjan Yaghoubi?

ScholarIQmost cited works
Intelligent manufacturing execution systems: A systematic review
Ardeshir Shojaeinasab, Todd Charter, Masoud Jalayer, Maziyar Khadivi, Oluwaseyi Ogunfowora, Nirav Raiyani, Marjan Yaghoubi, Homayoun Najjaran
Journal of Manufacturing Systems. 2022160 Citations
A review of recent trend in motion planning of industrial robots
Mehran Ghafarian Tamizi, Marjan Yaghoubi, Homayoun Najjaran
International Journal of Intelligent Robotics and Applications. 202381 Citations
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, Masoud Jalayer, Maryam Ahang, Ardeshir Shojaeinasab, Homayoun Najjaran
Computers & Industrial Engineering. 202541 Citations
A High-Fidelity Simulation Platform for Industrial Manufacturing by Incorporating Robotic Dynamics Into an Industrial Simulation Tool
Zengjie Zhang, Ram Dershan, Amir M. Soufi Enayati, Marjan Yaghoubi, Dean Richert, Homayoun Najjaran
IEEE Robotics and Automation Letters. 202221 Citations
Deep Reinforcement Learning for Machine Scheduling: Methodology, the State-of-The-Art, and Future Directions
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, Masoud Jalayer, Maryam Ahang, Ardeshir Shojaeinasab, Homayoun Najjaran
SSRN Electronic Journal. 202315 CitationsOPEN ACCESS

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