David A. Guerra-Zubiaga

808 total citations
43 papers, 472 citations indexed

About

David A. Guerra-Zubiaga is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Strategy and Management. According to data from OpenAlex, David A. Guerra-Zubiaga has authored 43 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Industrial and Manufacturing Engineering, 8 papers in Mechanical Engineering and 5 papers in Strategy and Management. Recurrent topics in David A. Guerra-Zubiaga's work include Digital Transformation in Industry (18 papers), Manufacturing Process and Optimization (18 papers) and Flexible and Reconfigurable Manufacturing Systems (10 papers). David A. Guerra-Zubiaga is often cited by papers focused on Digital Transformation in Industry (18 papers), Manufacturing Process and Optimization (18 papers) and Flexible and Reconfigurable Manufacturing Systems (10 papers). David A. Guerra-Zubiaga collaborates with scholars based in United States, Mexico and United Kingdom. David A. Guerra-Zubiaga's co-authors include Ali Vatankhah Barenji, Zhi Li, R. I. M. Young, Robert I. Young, George Q. Huang, W.M. Wang, Navid Nasajpour-Esfahani, Vladimir Kuts, Tauno Otto and Kashif Mahmood and has published in prestigious journals such as International Journal of Production Research, The International Journal of Advanced Manufacturing Technology and Applied Sciences.

In The Last Decade

David A. Guerra-Zubiaga

38 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Guerra-Zubiaga United States 10 250 97 77 74 61 43 472
Shannon Flumerfelt United States 8 303 1.2× 57 0.6× 116 1.5× 97 1.3× 46 0.8× 27 676
Majid Hashemipour Cyprus 14 328 1.3× 60 0.6× 65 0.8× 73 1.0× 71 1.2× 42 631
Jiapeng Yu China 9 307 1.2× 61 0.6× 65 0.8× 44 0.6× 56 0.9× 21 501
Gianluca Percoco Italy 7 249 1.0× 97 1.0× 39 0.5× 72 1.0× 68 1.1× 11 411
Johannes Egger United Kingdom 5 278 1.1× 55 0.6× 74 1.0× 67 0.9× 41 0.7× 8 707
Kwang-Kyu Seo South Korea 12 182 0.7× 85 0.9× 38 0.5× 93 1.3× 93 1.5× 48 600
Chunwei Yang China 7 230 0.9× 38 0.4× 63 0.8× 49 0.7× 51 0.8× 13 571
Fengtian Chang China 16 441 1.8× 57 0.6× 56 0.7× 75 1.0× 131 2.1× 42 758
Kendrik Yan Hong Lim Singapore 6 498 2.0× 42 0.4× 62 0.8× 65 0.9× 56 0.9× 12 690
Josip Stjepandić Italy 15 341 1.4× 103 1.1× 131 1.7× 78 1.1× 95 1.6× 45 716

Countries citing papers authored by David A. Guerra-Zubiaga

Since Specialization
Citations

This map shows the geographic impact of David A. Guerra-Zubiaga'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 David A. Guerra-Zubiaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Guerra-Zubiaga more than expected).

Fields of papers citing papers by David A. Guerra-Zubiaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Guerra-Zubiaga. 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 David A. Guerra-Zubiaga. The network helps show where David A. Guerra-Zubiaga may publish in the future.

Co-authorship network of co-authors of David A. Guerra-Zubiaga

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Guerra-Zubiaga. A scholar is included among the top collaborators of David A. Guerra-Zubiaga 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 David A. Guerra-Zubiaga. David A. Guerra-Zubiaga 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
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Guerra-Zubiaga, David A., et al.. (2024). A digital twin approach to support a multi-task industrial robot operation using design of experiments. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 46(8). 3 indexed citations
3.
Guerra-Zubiaga, David A., et al.. (2024). Integration of Digital Twins Into Virtual Commissioning Practices. 1 indexed citations
4.
Tanveer, M. Hassan, et al.. (2023). An In-Depth Analysis of Domain Adaptation in Computer and Robotic Vision. Applied Sciences. 13(23). 12823–12823. 9 indexed citations
5.
Guerra-Zubiaga, David A., et al.. (2023). Digital Twin Approach to Support Preventative Maintenance in a Robotic Application. 1 indexed citations
6.
Guerra-Zubiaga, David A., et al.. (2023). Optimizing a Manufacturing Pick-And-Place Operation on a Robotic Arm Using a Digital Twin. 2 indexed citations
7.
8.
Guerra-Zubiaga, David A., et al.. (2022). Industry 4.0 Trends in Intelligent Manufacturing Automation Exploring Machine Learning. Volume 2B: Advanced Manufacturing. 2 indexed citations
9.
Guerra-Zubiaga, David A., et al.. (2022). Computer Vision and Machine Learning to Create an Advanced Pick-and-Place Robotic Operation Using Industry 4.0 Trends. Volume 2A: Advanced Manufacturing. 4 indexed citations
10.
Guerra-Zubiaga, David A., et al.. (2021). Intelligent Process Control Following Industry 4.0 Trends. Volume 2B: Advanced Manufacturing. 1 indexed citations
11.
Vivaldini, Kelen Cristiane Teixeira, et al.. (2021). An intelligent hexapod robot for inspection of airframe components oriented by deep learning technique. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 43(11). 7 indexed citations
12.
Guerra-Zubiaga, David A., et al.. (2020). Energy consumption parameter analysis of industrial robots using design of experiment methodology. International Journal of Sustainable Engineering. 14(5). 996–1005. 20 indexed citations
13.
Barenji, Ali Vatankhah, Zhi Li, W.M. Wang, George Q. Huang, & David A. Guerra-Zubiaga. (2019). Blockchain-based ubiquitous manufacturing: a secure and reliable cyber-physical system. International Journal of Production Research. 58(7). 2200–2221. 90 indexed citations
14.
Guerra-Zubiaga, David A., et al.. (2019). Digital Twin in a Manufacturing Integrated System: Siemens TIA and PLM Case Study. Volume 2B: Advanced Manufacturing. 4 indexed citations
15.
Jovanović, Vukica, Lei Ma, David A. Guerra-Zubiaga, & Mileta Tomovic. (2014). Early problems identification in collaborative engineering with different product data modelling standards. International Journal of Computer Integrated Manufacturing. 1–12. 4 indexed citations
16.
Guerra-Zubiaga, David A., et al.. (2010). A systems approach to a final year mechatronics design course. International journal of engineering education. 26(1). 9–17. 2 indexed citations
17.
Guerra-Zubiaga, David A., et al.. (2008). Cross Cultural Issues on Globally Dispersed Design Team Performance: The PACE Project Experiences*. International journal of engineering education. 24(2). 328–335. 9 indexed citations
18.
Guerra-Zubiaga, David A., et al.. (2008). Product life-cycle management tools and collaborative tools applied to an automotive case study. International journal of engineering education. 24(2). 266–273. 4 indexed citations
19.
Guerra-Zubiaga, David A. & R. I. M. Young. (2008). Design of a manufacturing knowledge model. International Journal of Computer Integrated Manufacturing. 21(5). 526–539. 40 indexed citations
20.
Guerra-Zubiaga, David A., et al.. (2008). Methodology to Support a Collaborative DFX Process with Integration of PDM and Expert System Tools. Advanced materials research. 44-46. 381–388. 2 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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