Jack C. Chaplin

591 total citations · 1 hit paper
33 papers, 311 citations indexed

About

Jack C. Chaplin is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Management Information Systems. According to data from OpenAlex, Jack C. Chaplin has authored 33 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Industrial and Manufacturing Engineering, 10 papers in Management of Technology and Innovation and 3 papers in Management Information Systems. Recurrent topics in Jack C. Chaplin's work include Flexible and Reconfigurable Manufacturing Systems (27 papers), Manufacturing Process and Optimization (19 papers) and Digital Transformation in Industry (14 papers). Jack C. Chaplin is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (27 papers), Manufacturing Process and Optimization (19 papers) and Digital Transformation in Industry (14 papers). Jack C. Chaplin collaborates with scholars based in United Kingdom, Sweden and Spain. Jack C. Chaplin's co-authors include Svetan Ratchev, David Sanderson, Fan Mo, Hamood Ur Rehman, Antonio Maffei, Atanas A. Popov, Giovanna Martínez-Arellano, Brian Logan, Lavindra de Silva and Paolo Felli and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, SAE technical papers on CD-ROM/SAE technical paper series and Knowledge-Based Systems.

In The Last Decade

Jack C. Chaplin

28 papers receiving 296 citations

Hit Papers

A framework for manufacturing system reconfiguration and ... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack C. Chaplin United Kingdom 10 227 51 27 26 24 33 311
Iris Graessler Germany 8 164 0.7× 61 1.2× 43 1.6× 45 1.7× 14 0.6× 25 292
Fan Mo United Kingdom 11 179 0.8× 22 0.4× 30 1.1× 35 1.3× 32 1.3× 23 279
Κωνσταντίνος Σίψας Greece 9 271 1.2× 40 0.8× 28 1.0× 23 0.9× 33 1.4× 12 352
Marvin Carl May Germany 12 357 1.6× 31 0.6× 27 1.0× 50 1.9× 38 1.6× 54 473
Niko Siltala Finland 9 279 1.2× 108 2.1× 27 1.0× 17 0.7× 43 1.8× 28 342
Karel Kruger South Africa 8 259 1.1× 27 0.5× 15 0.6× 20 0.8× 10 0.4× 23 317
Mussawar Ahmad United Kingdom 10 206 0.9× 81 1.6× 33 1.2× 22 0.8× 17 0.7× 20 312
Tianyuan Xiao China 11 194 0.9× 24 0.5× 29 1.1× 20 0.8× 47 2.0× 44 313
Shibao Pang China 8 242 1.1× 34 0.7× 28 1.0× 63 2.4× 32 1.3× 13 357
Radmehr P. Monfared United Kingdom 12 219 1.0× 74 1.5× 23 0.9× 27 1.0× 20 0.8× 42 353

Countries citing papers authored by Jack C. Chaplin

Since Specialization
Citations

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

Fields of papers citing papers by Jack C. Chaplin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack C. Chaplin. 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 Jack C. Chaplin. The network helps show where Jack C. Chaplin may publish in the future.

Co-authorship network of co-authors of Jack C. Chaplin

This figure shows the co-authorship network connecting the top 25 collaborators of Jack C. Chaplin. A scholar is included among the top collaborators of Jack C. Chaplin 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 Jack C. Chaplin. Jack C. Chaplin 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.
Mo, Fan, Hamood Ur Rehman, Jack C. Chaplin, David Sanderson, & Svetan Ratchev. (2025). Digital twin-based self-learning decision-making framework for industrial robots in manufacturing. The International Journal of Advanced Manufacturing Technology. 139(1-2). 221–240. 1 indexed citations
2.
Rehman, Hamood Ur, Fan Mo, Jack C. Chaplin, et al.. (2025). Intelligent configuration management in modular production systems: Integrating operational semantics with knowledge graphs. Journal of Manufacturing Systems. 80. 610–625.
3.
4.
Martínez-Arellano, Giovanna, et al.. (2024). Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning. IFAC-PapersOnLine. 58(19). 789–794.
5.
Martínez-Arellano, Giovanna, et al.. (2023). Enabling Coordinated Elastic Responses of Manufacturing Systems through Semantic Modelling. IFAC-PapersOnLine. 56(2). 7402–7407. 3 indexed citations
6.
Mo, Fan, et al.. (2023). A maturity model for the autonomy of manufacturing systems. The International Journal of Advanced Manufacturing Technology. 126(1-2). 405–428. 16 indexed citations
7.
Rehman, Hamood Ur, et al.. (2023). A modular artificial intelligence and asset administration shell approach to streamline testing processes in manufacturing services. Journal of Manufacturing Systems. 72. 424–436. 6 indexed citations
8.
Mo, Fan, Hamood Ur Rehman, Jack C. Chaplin, et al.. (2023). A framework for manufacturing system reconfiguration and optimisation utilising digital twins and modular artificial intelligence. Robotics and Computer-Integrated Manufacturing. 82. 102524–102524. 87 indexed citations breakdown →
9.
Mo, Fan, et al.. (2023). PLC orchestration automation to enhance human–machine integration in adaptive manufacturing systems. Journal of Manufacturing Systems. 71. 172–187. 16 indexed citations
10.
Mo, Fan, Jack C. Chaplin, David Sanderson, Giovanna Martínez-Arellano, & Svetan Ratchev. (2023). Semantic models and knowledge graphs as manufacturing system reconfiguration enablers. Robotics and Computer-Integrated Manufacturing. 86. 102625–102625. 24 indexed citations
11.
Mo, Fan, et al.. (2023). Capacity Modelling and Measurement for Smart Elastic Manufacturing Systems. SAE technical papers on CD-ROM/SAE technical paper series. 5 indexed citations
12.
Rehman, Hamood Ur, et al.. (2022). Service Based Approach to Asset Administration Shell for Controlling Testing Processes in Manufacturing*. IFAC-PapersOnLine. 55(10). 1852–1857. 10 indexed citations
13.
Martínez-Arellano, Giovanna, et al.. (2022). Towards Modular and Plug-and-Produce Manufacturing Apps. Procedia CIRP. 107. 1257–1262. 10 indexed citations
14.
Sanderson, David, Jack C. Chaplin, & Svetan Ratchev. (2018). Conceptual Framework for Ubiquitous Cyber-Physical Assembly Systems in Airframe Assembly. IFAC-PapersOnLine. 51(11). 417–422. 4 indexed citations
15.
Silva, Lavindra de, Paolo Felli, Jack C. Chaplin, et al.. (2017). Synthesising Industry-Standard Manufacturing Process Controllers. Adaptive Agents and Multi-Agents Systems. 1811–1813. 6 indexed citations
17.
Sanderson, David, et al.. (2015). Advanced Manufacturing: An Industrial Application for Collective Adaptive Systems. 61–67. 13 indexed citations
18.
Chaplin, Jack C., et al.. (2015). Evolvable Assembly Systems: A Distributed Architecture for Intelligent Manufacturing. IFAC-PapersOnLine. 48(3). 2065–2070. 31 indexed citations
19.
Chaplin, Jack C., Natalio Krasnogor, & Noah A. Russell. (2014). Photochromic molecular implementations of universal computation. Biosystems. 126. 12–26. 1 indexed citations
20.
Chaplin, Jack C., Noah A. Russell, & Natalio Krasnogor. (2012). Implementing conventional logic unconventionally: Photochromic molecular populations as registers and logic gates. Biosystems. 109(1). 35–51. 6 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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