Michael Farnsworth

642 total citations
29 papers, 427 citations indexed

About

Michael Farnsworth is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Farnsworth has authored 29 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 10 papers in Mechanical Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Farnsworth's work include Flexible and Reconfigurable Manufacturing Systems (6 papers), Manufacturing Process and Optimization (6 papers) and Industrial Vision Systems and Defect Detection (5 papers). Michael Farnsworth is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (6 papers), Manufacturing Process and Optimization (6 papers) and Industrial Vision Systems and Defect Detection (5 papers). Michael Farnsworth collaborates with scholars based in United Kingdom, Japan and Italy. Michael Farnsworth's co-authors include Ashutosh Tiwari, Ying Liu, John Ahmet Erkoyuncu, Samir Khan, Richard McWilliam, Divya Tiwari, Ze Zhang, Windo Hutabarat, John Oyekan and David A. Miller and has published in prestigious journals such as Journal of Cleaner Production, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Michael Farnsworth

28 papers receiving 416 citations

Peers

Michael Farnsworth
Michael Farnsworth
Citations per year, relative to Michael Farnsworth Michael Farnsworth (= 1×) peers Zicheng Zhu

Countries citing papers authored by Michael Farnsworth

Since Specialization
Citations

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

Fields of papers citing papers by Michael Farnsworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Farnsworth. 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 Michael Farnsworth. The network helps show where Michael Farnsworth may publish in the future.

Co-authorship network of co-authors of Michael Farnsworth

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Farnsworth. A scholar is included among the top collaborators of Michael Farnsworth 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 Michael Farnsworth. Michael Farnsworth 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.
Zhang, Ze, Yue Yao, Windo Hutabarat, et al.. (2024). Time Series Anomaly Detection in Vehicle Sensors Using Self-Attention Mechanisms. IEEE Transactions on Intelligent Transportation Systems. 25(11). 15964–15976. 5 indexed citations
2.
Tiwari, Divya, et al.. (2023). Modelling interdependencies in an electric motor manufacturing process using discrete event simulation. Journal of Simulation. 18(4). 604–625. 5 indexed citations
3.
Tiwari, Divya, David A. Miller, Michael Farnsworth, et al.. (2023). Inspection of Enamel Removal Using Infrared Thermal Imaging and Machine Learning Techniques. Sensors. 23(8). 3977–3977. 2 indexed citations
4.
Zhang, Ze, Michael Farnsworth, Divya Tiwari, G.W. Jewell, & Ashutosh Tiwari. (2022). Sensorformer: A Memory-efficient Transformer for Industrial Sensor Fusion. 1–6.
5.
Farnsworth, Michael, et al.. (2022). Narrow gap TIG arc weld process monitoring. 1–7. 1 indexed citations
6.
Zhang, Ze, et al.. (2022). Deep Transfer Learning With Self-Attention for Industry Sensor Fusion Tasks. IEEE Sensors Journal. 22(15). 15235–15247. 23 indexed citations
7.
Farnsworth, Michael, Divya Tiwari, Ze Zhang, G.W. Jewell, & Ashutosh Tiwari. (2022). Augmented classification for electrical coil winding defects. The International Journal of Advanced Manufacturing Technology. 119(11-12). 6949–6965. 6 indexed citations
8.
Khan, Samir, Michael Farnsworth, Richard McWilliam, & John Ahmet Erkoyuncu. (2020). On the requirements of digital twin-driven autonomous maintenance. Annual Reviews in Control. 50. 13–28. 72 indexed citations
9.
Oyekan, John, Michael Farnsworth, Windo Hutabarat, David A. Miller, & Ashutosh Tiwari. (2020). Applying a 6 DoF Robotic Arm and Digital Twin to Automate Fan-Blade Reconditioning for Aerospace Maintenance, Repair, and Overhaul. Sensors. 20(16). 4637–4637. 49 indexed citations
10.
McWilliam, Richard, et al.. (2018). Zero-maintenance of electronic systems: Perspectives, challenges, and opportunities. Microelectronics Reliability. 85. 122–139. 8 indexed citations
11.
Liu, Ying, Michael Farnsworth, & Ashutosh Tiwari. (2018). Energy-efficient scheduling of flexible flow shop of composite recycling. The International Journal of Advanced Manufacturing Technology. 97(1-4). 117–127. 11 indexed citations
12.
Amo, Iñigo Fernández del, et al.. (2018). Designing an AR interface to improve trust in Human-Robots collaboration. Procedia CIRP. 70. 350–355. 42 indexed citations
13.
Liu, Ying, Michael Farnsworth, & Ashutosh Tiwari. (2016). A review of optimisation techniques used in the composite recycling area: State-of-the-art and steps towards a research agenda. Journal of Cleaner Production. 140. 1775–1781. 85 indexed citations
14.
Farnsworth, Michael, Ashutosh Tiwari, & Meiling Zhu. (2016). Multi-level and multi-objective design optimisation of a MEMS bandpass filter. Applied Soft Computing. 52. 642–656. 8 indexed citations
15.
Farnsworth, Michael, et al.. (2015). Self-repairing design process applied to a 4-bar linkage mechanism. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 231(13). 2291–2301. 1 indexed citations
16.
Farnsworth, Michael & Ashutosh Tiwari. (2015). Modelling, Simulation and Analysis of a Self-healing Energy Harvester. Procedia CIRP. 38. 271–276. 8 indexed citations
17.
Farnsworth, Michael. (2014). Differences in Perceived Difficulty in Print and Online Patient Education Materials. The Permanente Journal. 18(4). 45–50. 7 indexed citations
18.
Farnsworth, Michael, Ashutosh Tiwari, & Robert Dorey. (2014). Modelling, Simulation and Optimisation of a Piezoelectric Energy Harvester. Procedia CIRP. 22. 142–147. 13 indexed citations
19.
Farnsworth, Michael, et al.. (2013). Theoretical Design of a Self-rectifying 4-bar Linkage Mechanism. Procedia CIRP. 11. 385–389. 3 indexed citations
20.
Kapranos, P., Michael Farnsworth, & Keith Ridgway. (2005). CAS-01: Semi-Solid Processing of A201 Aluminum Alloy(CAS-I: ADVANCED CASTING). 2005(0). 2–2. 1 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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