Matthew J. Triebe

534 total citations · 1 hit paper
21 papers, 383 citations indexed

About

Matthew J. Triebe is a scholar working on Industrial and Manufacturing Engineering, Strategy and Management and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Matthew J. Triebe has authored 21 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Industrial and Manufacturing Engineering, 5 papers in Strategy and Management and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Matthew J. Triebe's work include Manufacturing Process and Optimization (9 papers), Energy Efficiency and Management (5 papers) and Digital Transformation in Industry (5 papers). Matthew J. Triebe is often cited by papers focused on Manufacturing Process and Optimization (9 papers), Energy Efficiency and Management (5 papers) and Digital Transformation in Industry (5 papers). Matthew J. Triebe collaborates with scholars based in United States and China. Matthew J. Triebe's co-authors include John W. Sutherland, Fu Zhao, Gamini Mendis, Haiyue Wu, Wo Jae Lee, Haihong Huang, Chaoyong Zhang, Zhifeng Liu, Leilei Meng and Yaping Ren and has published in prestigious journals such as Journal of Cleaner Production, The International Journal of Advanced Manufacturing Technology and IEEE Transactions on Systems Man and Cybernetics Systems.

In The Last Decade

Matthew J. Triebe

17 papers receiving 373 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A transformer-based approach for novel fault detection and fault classification/diagnosis in manufacturing: A rotary system application

2023 78 citations Haiyue Wu, Matthew J. Triebe et al. Journal of Manufacturing Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew J. Triebe United States	9	162	152	111	66	56	21	383
Xiaobin Li China	12	153 0.9×	83 0.5×	62 0.6×	24 0.4×	67 1.2×	43	414
Jiyun Qin China	14	188 1.2×	156 1.0×	75 0.7×	47 0.7×	39 0.7×	50	422
Mariya Dimitrova Canada	11	93 0.6×	145 1.0×	177 1.6×	35 0.5×	211 3.8×	17	629
Wo Jae Lee United States	9	166 1.0×	124 0.8×	144 1.3×	9 0.1×	46 0.8×	14	413
Xiaoliang Jia China	12	267 1.6×	114 0.8×	56 0.5×	10 0.2×	71 1.3×	32	463
Oussama Laayati Morocco	13	82 0.5×	92 0.6×	162 1.5×	29 0.4×	225 4.0×	32	457
Qinge Xiao China	12	399 2.5×	259 1.7×	63 0.6×	243 3.7×	220 3.9×	32	701
Tomislav Šarić Croatia	14	101 0.6×	269 1.8×	32 0.3×	44 0.7×	205 3.7×	43	510
Gaige Chen China	7	119 0.7×	170 1.1×	216 1.9×	9 0.1×	18 0.3×	10	456

Countries citing papers authored by Matthew J. Triebe

Since Specialization

Citations

This map shows the geographic impact of Matthew J. Triebe'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 Matthew J. Triebe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Triebe more than expected).

Fields of papers citing papers by Matthew J. Triebe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Triebe. 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 Matthew J. Triebe. The network helps show where Matthew J. Triebe may publish in the future.

Co-authorship network of co-authors of Matthew J. Triebe

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Triebe. A scholar is included among the top collaborators of Matthew J. Triebe 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 Matthew J. Triebe. Matthew J. Triebe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Triebe, Matthew J., et al.. (2025). Automation of Value Stream Mapping: A Case Study on Enhancing Lean Manufacturing Tools Through Digital Twins. Procedia CIRP. 134. 455–460.

Mathur, Nehika, et al.. (2024). Developing manufacturing-relevant indicators for assessing long-run circularity of a product’s life cycle. Manufacturing Letters. 41. 1652–1658.

Triebe, Matthew J., et al.. (2024). Recovery pathway assessment of recycled HDPE for circular economy: Shorter-life vs longer-life products. Procedia CIRP. 122. 366–371.

Triebe, Matthew J., et al.. (2024). Investigating the use of network analysis metrics to benchmark Industrial Symbiosis development. Journal of Cleaner Production. 469. 143078–143078. 4 indexed citations

Triebe, Matthew J., et al.. (2024). Optimizing electric traction motor design: Analyzing the benefits of a circular economy. Journal of Cleaner Production. 486. 144522–144522.

Sutherland, John W., Fu Zhao, Andrés F. Clarens, et al.. (2024). Current state and emerging trends in advanced manufacturing: smart systems. The International Journal of Advanced Manufacturing Technology. 7 indexed citations

Mathur, Nehika, et al.. (2024). Quantifying High Density Polyethylene Flows in the United States Using Material Flow Analysis. 1 indexed citations

Sutherland, John W., Fu Zhao, Andrés F. Clarens, et al.. (2024). Current state and emerging trends in advanced manufacturing: process technologies. The International Journal of Advanced Manufacturing Technology. 135(9-10). 4089–4118. 5 indexed citations

Kibira, Deogratias, et al.. (2024). Building a Digital Twin of a CNC Machine Tool. 2915–2926. 3 indexed citations

10.

Triebe, Matthew J., et al.. (2023). Perspectives on future research directions in green manufacturing for discrete products. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1(1). 10–10. 8 indexed citations

11.

Wu, Haiyue, Matthew J. Triebe, & John W. Sutherland. (2023). A transformer-based approach for novel fault detection and fault classification/diagnosis in manufacturing: A rotary system application. Journal of Manufacturing Systems. 67. 439–452. 78 indexed citations breakdown →

12.

Huang, Aihua, et al.. (2022). A review of research on smart manufacturing in support of environmental sustainability. 5(2/3/4). 132–163. 1 indexed citations

13.

Triebe, Matthew J., Fu Zhao, & John W. Sutherland. (2022). Modelling the effect of slide table mass on machine tool energy consumption: The role of lightweighting. Journal of Manufacturing Systems. 62. 668–680. 16 indexed citations

14.

Triebe, Matthew J., Fu Zhao, & John W. Sutherland. (2021). Development of a Cost Model for Vertical Milling Machines to Assess Impact of Lightweighting. Journal of Manufacturing and Materials Processing. 5(4). 129–129. 1 indexed citations

15.

Triebe, Matthew J., Fu Zhao, & John W. Sutherland. (2021). Genetic Optimization for the Design of a Machine Tool Slide Table for Reduced Energy Consumption. Journal of Manufacturing Science and Engineering. 143(10). 19 indexed citations

16.

Triebe, Matthew J., Fu Zhao, & John W. Sutherland. (2019). Achieving Energy Efficient Machine Tools by Mass Reduction through Multi-Objective Optimization. Procedia CIRP. 80. 73–78. 7 indexed citations

17.

Ren, Yaping, Chaoyong Zhang, Fu Zhao, Matthew J. Triebe, & Leilei Meng. (2018). An MCDM-Based Multiobjective General Variable Neighborhood Search Approach for Disassembly Line Balancing Problem. IEEE Transactions on Systems Man and Cybernetics Systems. 1–14. 58 indexed citations

18.

Triebe, Matthew J., Gamini Mendis, Fu Zhao, & John W. Sutherland. (2018). Understanding Energy Consumption in a Machine Tool through Energy Mapping. Procedia CIRP. 69. 259–264. 27 indexed citations

19.

Li, Lei, Haihong Huang, Fu Zhao, Matthew J. Triebe, & Zhifeng Liu. (2017). Analysis of a novel energy-efficient system with double-actuator for hydraulic press. Mechatronics. 47. 77–87. 28 indexed citations

20.

Li, Lei, Haihong Huang, Zhifeng Liu, et al.. (2016). An energy-saving method to solve the mismatch between installed and demanded power in hydraulic press. Journal of Cleaner Production. 139. 636–645. 39 indexed citations

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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