Dedy Ariansyah

531 total citations
22 papers, 320 citations indexed

About

Dedy Ariansyah is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Dedy Ariansyah has authored 22 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Dedy Ariansyah's work include Manufacturing Process and Optimization (8 papers), Digital Transformation in Industry (7 papers) and Augmented Reality Applications (6 papers). Dedy Ariansyah is often cited by papers focused on Manufacturing Process and Optimization (8 papers), Digital Transformation in Industry (7 papers) and Augmented Reality Applications (6 papers). Dedy Ariansyah collaborates with scholars based in United Kingdom, Indonesia and Italy. Dedy Ariansyah's co-authors include John Ahmet Erkoyuncu, Maryam Farsi, Rok Vrabič, Iñigo Fernández del Amo, Rajkumar Roy, Iveta Eimontaite, Anne‐Marie Oostveen, Sarah Fletcher, Sarah Sharples and Andrew J. Harrison and has published in prestigious journals such as Scientific Reports, IEEE Access and CIRP Annals.

In The Last Decade

Dedy Ariansyah

20 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dedy Ariansyah United Kingdom 10 172 84 63 48 35 22 320
Sangsu Choi South Korea 3 154 0.9× 67 0.8× 93 1.5× 41 0.9× 26 0.7× 4 310
Jie Geng China 8 103 0.6× 77 0.9× 92 1.5× 21 0.4× 34 1.0× 26 288
Jan Zenisek Austria 8 100 0.6× 69 0.8× 64 1.0× 22 0.5× 19 0.5× 19 296
Luciano Di Donato Italy 8 156 0.9× 27 0.3× 19 0.3× 30 0.6× 22 0.6× 30 315
Vincent Havard France 12 224 1.3× 157 1.9× 132 2.1× 20 0.4× 48 1.4× 21 523
Andrea de Giorgio Sweden 9 111 0.6× 61 0.7× 48 0.8× 21 0.4× 20 0.6× 22 311
Bruno Simões Spain 10 154 0.9× 134 1.6× 85 1.3× 8 0.2× 26 0.7× 37 343
Alessandra Ferraro Italy 8 154 0.9× 27 0.3× 18 0.3× 28 0.6× 16 0.5× 28 297
Frédéric Noël France 9 115 0.7× 51 0.6× 81 1.3× 15 0.3× 19 0.5× 44 314
Jonathan C. Borg Malta 10 162 0.9× 52 0.6× 36 0.6× 10 0.2× 25 0.7× 53 325

Countries citing papers authored by Dedy Ariansyah

Since Specialization
Citations

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

Fields of papers citing papers by Dedy Ariansyah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dedy Ariansyah

This figure shows the co-authorship network connecting the top 25 collaborators of Dedy Ariansyah. A scholar is included among the top collaborators of Dedy Ariansyah 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 Dedy Ariansyah. Dedy Ariansyah 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.
Pardamean, Bens, Alam Ahmad Hidayat, Reza Rahutomo, et al.. (2024). Monitoring and evaluation of childhood stunting reduction program based on fish supplement product in North Sumatera, Indonesia. Scientific Reports. 14(1). 11674–11674.
2.
Ariansyah, Dedy, et al.. (2024). A unified framework for digital twin development in manufacturing. Advanced Engineering Informatics. 62. 102567–102567. 12 indexed citations
3.
Amo, Iñigo Fernández del, et al.. (2024). Advancing Fault Diagnosis Through Ontology-Based Knowledge Capture and Application. IEEE Access. 12. 144599–144620.
4.
Ariansyah, Dedy, et al.. (2023). Digital Twin (DT) Smart City for Air Quality Management. Procedia Computer Science. 227. 524–533. 4 indexed citations
5.
Ariansyah, Dedy, et al.. (2023). Augmented reality training for improved learnability. CIRP journal of manufacturing science and technology. 48. 19–27. 8 indexed citations
6.
Amo, Iñigo Fernández del, et al.. (2023). Fast Augmented Reality Authoring: Fast Creation of AR Step-by-Step Procedures for Maintenance Operations. IEEE Access. 11. 8407–8421. 11 indexed citations
7.
Ariansyah, Dedy & Bens Pardamean. (2022). Enhancing Interoperability of Digital Twin in the Maintenance phase of Lifecycle. 514–518. 4 indexed citations
8.
Ariansyah, Dedy, et al.. (2021). Augmented Reality Aided Inspection of Gears. Tehnicki vjesnik - Technical Gazette. 28(3). 9 indexed citations
9.
Amo, Iñigo Fernández del, John Ahmet Erkoyuncu, Maryam Farsi, & Dedy Ariansyah. (2021). Hybrid recommendations and dynamic authoring for AR knowledge capture and re-use in diagnosis applications. Knowledge-Based Systems. 239. 107954–107954. 13 indexed citations
10.
Ariansyah, Dedy, John Ahmet Erkoyuncu, Iveta Eimontaite, et al.. (2021). A head mounted augmented reality design practice for maintenance assembly: Toward meeting perceptual and cognitive needs of AR users. Applied Ergonomics. 98. 103597–103597. 61 indexed citations
11.
Farsi, Maryam, Dedy Ariansyah, John Ahmet Erkoyuncu, & Andrew J. Harrison. (2021). A digital twin architecture for effective product lifecycle cost estimation. Procedia CIRP. 100. 506–511. 30 indexed citations
12.
Vrabič, Rok, John Ahmet Erkoyuncu, Maryam Farsi, & Dedy Ariansyah. (2021). An intelligent agent-based architecture for resilient digital twins in manufacturing. CIRP Annals. 70(1). 349–352. 31 indexed citations
13.
Erkoyuncu, John Ahmet, et al.. (2020). A design framework for adaptive digital twins. CIRP Annals. 69(1). 145–148. 65 indexed citations
14.
Ariansyah, Dedy, et al.. (2020). Digital Twin Development: A Step by Step Guideline. SSRN Electronic Journal. 10 indexed citations
15.
Eaton, William, et al.. (2020). Investigating the Impact of Human in-the-Loop Digital Twin in an Industrial Maintenance Context. SSRN Electronic Journal. 3 indexed citations
16.
Ariansyah, Dedy, Francesco Rosa, & Giorgio Colombo. (2019). Smart Maintenance: A Wearable Augmented Reality Application Integrated with CMMS to Minimize Unscheduled Downtime. Computer-Aided Design and Applications. 17(4). 740–751. 18 indexed citations
17.
Ariansyah, Dedy, Giandomenico Caruso, Daniele Ruscio, & Monica Bordegoni. (2018). Analysis of Autonomic Indexes on Drivers' Workload to Assess the Effect of Visual ADAS on User Experience and Driving Performance in Different Driving Conditions. Journal of Computing and Information Science in Engineering. 18(3). 7 indexed citations
18.
Ruscio, Daniele, Luca Bascetta, A. Gabrielli, et al.. (2017). Collection and comparison of driver/passenger physiologic and behavioural data in simulation and on-road driving. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 403–408. 8 indexed citations
19.
Caruso, Giandomenico, Daniele Ruscio, Dedy Ariansyah, & Monica Bordegoni. (2017). Driving Simulator System to Evaluate Driver’s Workload Using ADAS in Different Driving Contexts. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 3 indexed citations
20.
Kiswanto, Gandjar & Dedy Ariansyah. (2013). Development of Augmented Reality (AR) for machining simulation of 3-axis CNC milling. 6. 143–148. 10 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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