Jorge Arinez

3.2k total citations · 1 hit paper
114 papers, 2.4k citations indexed

About

Jorge Arinez is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Jorge Arinez has authored 114 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Industrial and Manufacturing Engineering, 18 papers in Management Information Systems and 16 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Jorge Arinez's work include Scheduling and Optimization Algorithms (51 papers), Flexible and Reconfigurable Manufacturing Systems (40 papers) and Manufacturing Process and Optimization (35 papers). Jorge Arinez is often cited by papers focused on Scheduling and Optimization Algorithms (51 papers), Flexible and Reconfigurable Manufacturing Systems (40 papers) and Manufacturing Process and Optimization (35 papers). Jorge Arinez collaborates with scholars based in United States, China and Mexico. Jorge Arinez's co-authors include Qing Chang, Guoxian Xiao, Liang Zhang, Stephan Biller, Jing Zou, Jing Huang, Jianjing Zhang, Chengying Xu, Robert X. Gao and Zhiyang Jia and has published in prestigious journals such as IEEE Transactions on Automatic Control, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jorge Arinez

111 papers receiving 2.3k citations

Hit Papers

Artificial Intelligence in Advanced Manufacturing: Curren... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jorge Arinez United States 28 1.4k 384 351 313 268 114 2.4k
Guoxian Xiao United States 29 1.1k 0.8× 284 0.7× 288 0.8× 461 1.5× 258 1.0× 83 1.9k
Guanghui Zhou China 30 1.6k 1.2× 150 0.4× 215 0.6× 678 2.2× 154 0.6× 106 2.8k
Dunbing Tang China 28 2.3k 1.6× 207 0.5× 208 0.6× 565 1.8× 121 0.5× 142 3.3k
Yuchun Xu United Kingdom 25 943 0.7× 320 0.8× 77 0.2× 272 0.9× 109 0.4× 99 2.1k
Moneer Helu United States 22 1.1k 0.8× 127 0.3× 281 0.8× 438 1.4× 145 0.5× 43 1.8k
Qing Chang United States 29 1.6k 1.2× 288 0.8× 376 1.1× 173 0.6× 452 1.7× 149 2.7k
Paul Xirouchakis Switzerland 34 1.9k 1.3× 298 0.8× 313 0.9× 1.0k 3.2× 118 0.4× 109 3.2k
Gisela Lanza Germany 29 2.6k 1.8× 768 2.0× 115 0.3× 794 2.5× 243 0.9× 408 4.3k
Engelbert Westkämper Germany 21 1.2k 0.8× 252 0.7× 93 0.3× 407 1.3× 124 0.5× 114 2.2k
Luca Fumagalli Italy 25 2.4k 1.7× 350 0.9× 63 0.2× 230 0.7× 402 1.5× 112 3.7k

Countries citing papers authored by Jorge Arinez

Since Specialization
Citations

This map shows the geographic impact of Jorge Arinez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jorge Arinez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Arinez more than expected).

Fields of papers citing papers by Jorge Arinez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Arinez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jorge Arinez. The network helps show where Jorge Arinez may publish in the future.

Co-authorship network of co-authors of Jorge Arinez

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Arinez. A scholar is included among the top collaborators of Jorge Arinez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jorge Arinez. Jorge Arinez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tan, Changbai, et al.. (2025). Machine learning-enhanced digital twins for predictive analytics in battery pack assembly. Journal of Manufacturing Systems. 80. 344–355.
2.
Arinez, Jorge, et al.. (2024). Hierarchical energy signatures using machine learning for operational visibility and diagnostics in automotive manufacturing. Manufacturing Letters. 40. 81–84. 2 indexed citations
3.
Goldman, Claudia V., et al.. (2023). Interpreting learning models in manufacturing processes: Towards explainable AI methods to improve trust in classifier predictions. Journal of Industrial Information Integration. 33. 100439–100439. 25 indexed citations
4.
Oh, Seog‐Chan, et al.. (2022). Conveyor-Less Urban-Car Assembly Factory with VaaC and Matrix System. Smart Cities. 5(3). 947–963. 2 indexed citations
5.
Escobar, Carlos A., et al.. (2022). Process monitoring for quality–a feature selection method for highly unbalanced binary data. International Journal on Interactive Design and Manufacturing (IJIDeM). 16(2). 557–572. 2 indexed citations
6.
Hernández-de-Menéndez, Marcela, Rubén Morales-Menéndez, Carlos A. Escobar, & Jorge Arinez. (2021). Biometric applications in education. International Journal on Interactive Design and Manufacturing (IJIDeM). 15(2-3). 365–380. 41 indexed citations
7.
Huang, Jing, Qing Chang, & Jorge Arinez. (2020). Distributed Production Scheduling for Multi-Product Flexible Production Lines. 4 indexed citations
8.
Huang, Jing, Qing Chang, & Jorge Arinez. (2020). WITHDRAWN: Deep Reinforcement Learning based Preventive Maintenance Policy for Serial Production Lines. 100034–100034. 2 indexed citations
9.
Arinez, Jorge, Qing Chang, Robert X. Gao, Chengying Xu, & Jianjing Zhang. (2020). Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook. Journal of Manufacturing Science and Engineering. 142(11). 298 indexed citations breakdown →
10.
Huang, Jing, Qing Chang, Jorge Arinez, & Guoxian Xiao. (2019). A Maintenance and Energy Saving Joint Control Scheme for Sustainable Manufacturing Systems. Procedia CIRP. 80. 263–268. 22 indexed citations
11.
Brundage, Michael P., Thurston Sexton, Melinda Hodkiewicz, et al.. (2019). Where Do We Start? Guidance for Technology Implementation in Maintenance Management for Manufacturing. Journal of Manufacturing Science and Engineering. 141(9). 22 indexed citations
12.
Huang, Jing, Qing Chang, Jing Zou, Jorge Arinez, & Guoxian Xiao. (2018). Real-time Control of Maintenance on Deteriorating Manufacturing System. 4. 211–216. 2 indexed citations
13.
Chang, Qing, et al.. (2018). Gantry Work Cell Scheduling through Reinforcement Learning with Knowledge-guided Reward Setting. IEEE Access. 6. 14699–14709. 19 indexed citations
14.
Jia, Zhiyang, Liang Zhang, Jorge Arinez, & Guoxian Xiao. (2015). Performance analysis of Bernoulli serial production lines with switch-on/off machine control. 477–482. 14 indexed citations
15.
Wang, Chuanfeng, et al.. (2015). Transient Performance Analysis of Serial Production Lines With Geometric Machines. IEEE Transactions on Automatic Control. 61(4). 877–891. 56 indexed citations
16.
Brundage, Michael P., Qing Chang, Yang Li, Guoxian Xiao, & Jorge Arinez. (2013). Energy Efficiency Management of an Integrated Serial Production Line and HVAC System. IEEE Transactions on Automation Science and Engineering. 11(3). 789–797. 45 indexed citations
17.
Michaloski, John L., Fred Proctor, Jorge Arinez, & Johan Berglund. (2013). Toward the Ideal of Automating Production Optimization. Volume 2A: Advanced Manufacturing. 3 indexed citations
19.
Michaloski, John L., Guodong Shao, Jorge Arinez, et al.. (2011). Analysis of sustainable manufacturing using simulation for integration of production and building service. Annual Simulation Symposium. 93–101. 20 indexed citations
20.
Wang, Junwen, Jingshan Li, Jorge Arinez, Stephan Biller, & Ningjian Huang. (2009). Monotonic and non-monotonic properties of product quality in flexible manufacturing systems with batch operations. 27. 13–18.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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