Paul Goodall

697 total citations
17 papers, 478 citations indexed

About

Paul Goodall is a scholar working on Industrial and Manufacturing Engineering, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Paul Goodall has authored 17 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 4 papers in Industrial and Manufacturing Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Paul Goodall's work include Manufacturing Process and Optimization (7 papers), Digital Transformation in Industry (5 papers) and Recycling and Waste Management Techniques (4 papers). Paul Goodall is often cited by papers focused on Manufacturing Process and Optimization (7 papers), Digital Transformation in Industry (5 papers) and Recycling and Waste Management Techniques (4 papers). Paul Goodall collaborates with scholars based in United Kingdom, China and Italy. Paul Goodall's co-authors include Andrew West, Richard Sharpe, Emma Rosamond, Paul Conway, Katherine van Lopik, Ian Graham, Julien Mascolo, Claire Palmer, Tom Jackson and Lisa Jackson and has published in prestigious journals such as Journal of Cleaner Production, Mechanical Systems and Signal Processing and Future Generation Computer Systems.

In The Last Decade

Paul Goodall

17 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Goodall United Kingdom	10	244	215	126	66	59	17	478
Aihua Huang United States	15	181 0.7×	201 0.9×	63 0.5×	89 1.3×	66 1.1×	32	525
Nur Aini Masruroh Indonesia	11	160 0.7×	121 0.6×	64 0.5×	129 2.0×	53 0.9×	71	514
Mark Mennenga Germany	10	125 0.5×	119 0.6×	73 0.6×	58 0.9×	27 0.5×	46	383
Mairi Kerin United Kingdom	7	367 1.5×	249 1.2×	102 0.8×	73 1.1×	49 0.8×	8	575
Elisa Gebennini Italy	14	308 1.3×	247 1.1×	105 0.8×	44 0.7×	168 2.8×	37	654
Shanshan Yang United Kingdom	4	194 0.8×	250 1.2×	111 0.9×	69 1.0×	23 0.4×	9	406
Christophe Sauvey France	11	154 0.6×	181 0.8×	79 0.6×	88 1.3×	103 1.7×	32	458
Alexandros Nizamis Greece	10	224 0.9×	252 1.2×	73 0.6×	25 0.4×	113 1.9×	29	565
Monika Kosacka-Olejnik Poland	12	194 0.8×	192 0.9×	56 0.4×	33 0.5×	73 1.2×	44	453
Hyun Woo Jeon United States	12	208 0.9×	113 0.5×	38 0.3×	57 0.9×	34 0.6×	34	535

Countries citing papers authored by Paul Goodall

Since Specialization

Citations

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

Fields of papers citing papers by Paul Goodall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Goodall

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

All Works

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17 of 17 papers shown

Goodall, Paul, et al.. (2024). An overview of the test methodology used in current cycling helmet standards and literature. International Journal of Impact Engineering. 188. 104928–104928. 4 indexed citations

Goodall, Paul, et al.. (2024). An interactive framework to support decision-making for Digital Twin design. Journal of Industrial Information Integration. 41. 100639–100639. 5 indexed citations

Grant, Rebecca, Paul Goodall, Yan Jin, et al.. (2023). A review of design frameworks for human‐cyber‐physical systems moving from industry 4 to 5. IET Cyber-Physical Systems Theory & Applications. 9(2). 169–183. 5 indexed citations

Goodall, Paul, et al.. (2023). Predicting electrical power consumption of end milling using a virtual machining energy toolkit (V_MET). Computers in Industry. 150. 103943–103943. 11 indexed citations

Goodall, Paul, et al.. (2022). A design of experiments Cyber–Physical System for energy modelling and optimisation in end-milling machining. Robotics and Computer-Integrated Manufacturing. 80. 102469–102469. 11 indexed citations

Goodall, Paul, et al.. (2021). Enhancing RFID system configuration through semantic modelling. The Knowledge Engineering Review. 36. 3 indexed citations

Sharpe, Richard, Katherine van Lopik, Paul Goodall, et al.. (2021). The potential of industry 4.0 Cyber Physical System to improve quality assurance: An automotive case study for wash monitoring of returnable transit items. CIRP journal of manufacturing science and technology. 32. 461–475. 23 indexed citations

Liu, Zhongyong, et al.. (2020). An Improved Deep Learning Model for Online Tool Condition Monitoring Using Output Power Signals. Shock and Vibration. 2020. 1–12. 7 indexed citations

Goodall, Paul, et al.. (2020). A cyber physical system for tool condition monitoring using electrical power and a mechanistic model. Computers in Industry. 118. 103223–103223. 24 indexed citations

10.

Sharpe, Richard, Katherine van Lopik, Paul Goodall, et al.. (2020). An interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain. Future Generation Computer Systems. 112. 848–858. 3 indexed citations

11.

Sharpe, Richard, et al.. (2019). An industrial evaluation of an Industry 4.0 reference architecture demonstrating the need for the inclusion of security and human components. Computers in Industry. 108. 37–44. 65 indexed citations

12.

Goodall, Paul, et al.. (2019). An automated feature extraction method with application to empirical model development from machining power data. Mechanical Systems and Signal Processing. 124. 21–35. 6 indexed citations

13.

Goodall, Paul, Richard Sharpe, & Andrew West. (2018). A data-driven simulation to support remanufacturing operations. Computers in Industry. 105. 48–60. 94 indexed citations

14.

Sharpe, Richard, et al.. (2017). Cyber-Physical Systems in the re-use, refurbishment and recycling of used Electrical and Electronic Equipment. Journal of Cleaner Production. 170. 351–361. 33 indexed citations

15.

Goodall, Paul, et al.. (2015). Cost estimation for remanufacture with limited and uncertain information using case based reasoning. Loughborough University Institutional Repository (Loughborough University). 5(1). 12 indexed citations

16.

Graham, Ian, Paul Goodall, Claire Palmer, et al.. (2015). Performance measurement and KPIs for remanufacturing. Loughborough University Institutional Repository (Loughborough University). 5(1). 37 indexed citations

17.

Goodall, Paul, et al.. (2014). A review of the state of the art in tools and techniques used to evaluate remanufacturing feasibility. Journal of Cleaner Production. 81. 1–15. 135 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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