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Computers & Industrial Engineering

JournalCitation impact & published research

Computers & Industrial Engineering is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 13,454 works, 422,547 citations, an h-index of 202 and an APC (USD) of 3,310.

13,454
Works
422,547
Citations
202
h-index
3,310
APC (USD)

What are the most-cited papers on Computers & Industrial Engineering?

ScholarIQmost cited works
Smart operators in industry 4.0: A human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context
Francesco Longo, Letizia Nicoletti, Antonio Padovano
Computers & Industrial Engineering. 2017550 CitationsOPEN ACCESS
Blockchain-based framework for supply chain traceability: A case example of textile and clothing industry
Tarun Kumar Agrawal, Vijay Kumar, Rudrajeet Pal, Lichuan Wang, Yan Chen
Computers & Industrial Engineering. 2021494 CitationsOPEN ACCESS
Blockchain-enabled supply chain: An experimental study
Francesco Longo, Letizia Nicoletti, Antonio Padovano, Gianfranco d’Atri, Marco Forte
Computers & Industrial Engineering. 2019382 CitationsOPEN ACCESS
Leveraging digital capabilities toward a circular economy: Reinforcing sustainable supply chain management with Industry 4.0 technologies
Lingdi Liu, Wenyan Song, Yang Liu
Computers & Industrial Engineering. 2023297 CitationsOPEN ACCESS
Penalty guided genetic search for reliability design optimization
David W. Coit, Alice E. Smith
Computers & Industrial Engineering. 1996232 Citations

Related on ScholarIQ

Smart operators in industry 4.0: A human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context
Paper
Blockchain-based framework for supply chain traceability: A case example of textile and clothing industry
Paper
Blockchain-enabled supply chain: An experimental study
Paper
Leveraging digital capabilities toward a circular economy: Reinforcing sustainable supply chain management with Industry 4.0 technologies
Paper
Penalty guided genetic search for reliability design optimization
Paper
Scheduling trucks in cross-docking systems: Robust meta-heuristics
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