Ian Stroud

1.1k total citations
34 papers, 800 citations indexed

About

Ian Stroud is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Ian Stroud has authored 34 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Industrial and Manufacturing Engineering, 10 papers in Mechanical Engineering and 7 papers in Automotive Engineering. Recurrent topics in Ian Stroud's work include Manufacturing Process and Optimization (25 papers), Additive Manufacturing and 3D Printing Technologies (7 papers) and Flexible and Reconfigurable Manufacturing Systems (6 papers). Ian Stroud is often cited by papers focused on Manufacturing Process and Optimization (25 papers), Additive Manufacturing and 3D Printing Technologies (7 papers) and Flexible and Reconfigurable Manufacturing Systems (6 papers). Ian Stroud collaborates with scholars based in Switzerland, South Korea and Hungary. Ian Stroud's co-authors include Suk‐Hwan Suh, Paul Xirouchakis, Jumyung Um, Jean-Yves Hascoët, Oliver Avram, Matthieu Rauch, Renan Bonnard, Pascal Mognol, JaeMin Cha and Seung‐Jun Shin and has published in prestigious journals such as International Journal of Production Research, Energies and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Ian Stroud

34 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Stroud Switzerland 16 477 325 159 134 86 34 800
Gaurav Ameta United States 16 650 1.4× 421 1.3× 450 2.8× 161 1.2× 32 0.4× 59 936
Marc-André Dittrich Germany 17 438 0.9× 474 1.5× 96 0.6× 37 0.3× 79 0.9× 77 859
Jianhua Liu China 17 886 1.9× 372 1.1× 121 0.8× 73 0.5× 11 0.1× 75 1.3k
Mario Hirz Austria 11 157 0.3× 142 0.4× 207 1.3× 39 0.3× 17 0.2× 117 547
Xitian Tian China 13 232 0.5× 239 0.7× 24 0.2× 69 0.5× 31 0.4× 45 507
B. Gurumoorthy India 14 324 0.7× 178 0.5× 81 0.5× 226 1.7× 10 0.1× 74 626
Michael F. Zäh Germany 13 836 1.8× 474 1.5× 230 1.4× 79 0.6× 42 0.5× 98 1.4k
Makoto Fujishima Japan 20 659 1.4× 834 2.6× 176 1.1× 140 1.0× 395 4.6× 59 1.4k
Gábor Erdős Hungary 17 386 0.8× 110 0.3× 40 0.3× 50 0.4× 8 0.1× 42 716
Ning Zhao United Kingdom 16 686 1.4× 489 1.5× 184 1.2× 8 0.1× 19 0.2× 52 940

Countries citing papers authored by Ian Stroud

Since Specialization
Citations

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

Fields of papers citing papers by Ian Stroud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Stroud

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Stroud. A scholar is included among the top collaborators of Ian Stroud 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 Ian Stroud. Ian Stroud 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.
Um, Jumyung, et al.. (2019). Deep Learning Approach of Energy Estimation Model of Remote Laser Welding. Energies. 12(9). 1799–1799. 11 indexed citations
2.
Bonnard, Renan, Jean-Yves Hascoët, Pascal Mognol, & Ian Stroud. (2018). STEP-NC digital thread for additive manufacturing: data model, implementation and validation. International Journal of Computer Integrated Manufacturing. 31(11). 1141–1160. 42 indexed citations
3.
Um, Jumyung & Ian Stroud. (2016). Design guidelines for remote laser welding in automotive assembly lines. The International Journal of Advanced Manufacturing Technology. 89(1-4). 1039–1051. 7 indexed citations
4.
Um, Jumyung, Suk‐Hwan Suh, & Ian Stroud. (2016). STEP-NC machine tool data model and its applications. International Journal of Computer Integrated Manufacturing. 29(10). 1058–1074. 13 indexed citations
5.
Um, Jumyung, et al.. (2016). Smart Factory Information Service Bus (SIBUS) for manufacturing application: requirement, architecture and implementation. Journal of Intelligent Manufacturing. 30(1). 363–382. 38 indexed citations
6.
Um, Jumyung, Matthieu Rauch, Jean-Yves Hascoët, & Ian Stroud. (2016). STEP-NC compliant process planning of additive manufacturing: remanufacturing. The International Journal of Advanced Manufacturing Technology. 88(5-8). 1215–1230. 46 indexed citations
7.
Suh, Suk‐Hwan, et al.. (2014). A green productivity based process planning system for a machining process. International Journal of Production Research. 53(17). 5085–5105. 17 indexed citations
8.
Um, Jumyung, et al.. (2014). Factory Planning System Considering Energy-efficient Process under Cloud Manufacturing. Procedia CIRP. 17. 553–558. 10 indexed citations
9.
Um, Jumyung, Ian Stroud, & Suk‐Hwan Suh. (2014). Development and evaluation of customisation process for ubiquitous product recovery management system. International Journal of Computer Integrated Manufacturing. 28(9). 903–919. 6 indexed citations
10.
Stroud, Ian, et al.. (2014). A model to determine the optimal parameters in a machining process for the most profitable utilization of machining energy. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 229(2). 266–274. 9 indexed citations
11.
Stroud, Ian, et al.. (2013). A model to determine the optimal parameters for sustainable-energy machining in a multi-pass turning operation. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 228(6). 866–877. 25 indexed citations
12.
Um, Jumyung & Ian Stroud. (2013). Total Energy Estimation Model for Remote Laser Welding Process. Procedia CIRP. 7. 658–663. 16 indexed citations
13.
Avram, Oliver, Ian Stroud, & Paul Xirouchakis. (2010). A multi-criteria decision method for sustainability assessment of the use phase of machine tool systems. The International Journal of Advanced Manufacturing Technology. 53(5-8). 811–828. 51 indexed citations
14.
Stroud, Ian & Paul Xirouchakis. (2006). Strategy features for communicating aesthetic shapes for manufacturing. International Journal of Computer Integrated Manufacturing. 19(6). 639–649. 9 indexed citations
15.
Suh, Suk‐Hwan, et al.. (2006). Reincarnation of G-code based part programs into STEP-NC for turning applications. Computer-Aided Design. 39(1). 1–16. 46 indexed citations
16.
Horváth, Imré, et al.. (2004). Navigated active learning in an international academic virtual enterprise. European Journal of Engineering Education. 29(4). 505–519. 13 indexed citations
17.
Stroud, Ian, et al.. (2002). Container spaces and functional features for top-down 3D layout design. Computer-Aided Design. 34(13). 1011–1035. 27 indexed citations
18.
Stroud, Ian & Paul Xirouchakis. (2000). STL and extensions. Advances in Engineering Software. 31(2). 83–95. 60 indexed citations
19.
Stroud, Ian. (1994). Boundary modelling with special representations. Computer-Aided Design. 26(7). 543–550. 3 indexed citations
20.
Stroud, Ian. (1993). Modelling techniques for handling non-geometric information. 367–376. 5 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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