Niko Siltala

579 total citations
28 papers, 342 citations indexed

About

Niko Siltala is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Mechanical Engineering. According to data from OpenAlex, Niko Siltala has authored 28 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Industrial and Manufacturing Engineering, 12 papers in Management of Technology and Innovation and 4 papers in Mechanical Engineering. Recurrent topics in Niko Siltala's work include Flexible and Reconfigurable Manufacturing Systems (23 papers), Manufacturing Process and Optimization (18 papers) and Product Development and Customization (12 papers). Niko Siltala is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (23 papers), Manufacturing Process and Optimization (18 papers) and Product Development and Customization (12 papers). Niko Siltala collaborates with scholars based in Finland, Germany and Sweden. Niko Siltala's co-authors include Eeva Järvenpää, Minna Lanz, Reijo Tuokko, Georg Bretthauer, Andreas Hofmann, Jyrki Latokartano, Ole Madsen, Roel Pieters, Andreas Hofmann and Sotiris Makris and has published in prestigious journals such as Journal of Manufacturing Systems, Robotics and Computer-Integrated Manufacturing and Journal of Intelligent Manufacturing.

In The Last Decade

Niko Siltala

26 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niko Siltala Finland 9 279 108 43 42 27 28 342
Eeva Järvenpää Finland 11 355 1.3× 143 1.3× 50 1.2× 70 1.7× 30 1.1× 40 454
Fujun Wang China 9 151 0.5× 104 1.0× 32 0.7× 31 0.7× 14 0.5× 19 276
Felix Ocker Germany 11 192 0.7× 42 0.4× 40 0.9× 33 0.8× 28 1.0× 32 276
Raphaël Barbau United States 5 177 0.6× 35 0.3× 81 1.9× 38 0.9× 29 1.1× 11 269
Lorenz Hundt Germany 8 312 1.1× 45 0.4× 49 1.1× 35 0.8× 31 1.1× 14 358
Xenia Fiorentini United States 6 185 0.7× 54 0.5× 119 2.8× 58 1.4× 44 1.6× 15 280
Jack C. Chaplin United Kingdom 10 227 0.8× 51 0.5× 24 0.6× 23 0.5× 8 0.3× 33 311
Sylvère Krima United States 4 150 0.5× 37 0.3× 80 1.9× 40 1.0× 38 1.4× 10 230
Mussawar Ahmad United Kingdom 10 206 0.7× 81 0.8× 17 0.4× 41 1.0× 6 0.2× 20 312
Paul Verstraete Belgium 10 256 0.9× 43 0.4× 25 0.6× 53 1.3× 11 0.4× 30 336

Countries citing papers authored by Niko Siltala

Since Specialization
Citations

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

Fields of papers citing papers by Niko Siltala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niko Siltala

This figure shows the co-authorship network connecting the top 25 collaborators of Niko Siltala. A scholar is included among the top collaborators of Niko Siltala 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 Niko Siltala. Niko Siltala 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.
Järvenpää, Eeva, et al.. (2025). Template concept for VR environments: A case study in VR-based safety training for human–robot collaboration. Robotics and Computer-Integrated Manufacturing. 94. 102973–102973. 5 indexed citations
2.
Latokartano, Jyrki, et al.. (2024). Virtual reality-based safety training in human-robot collaboration scenario: User experiences testing. AIP conference proceedings. 3059. 20002–20002. 3 indexed citations
3.
Lanz, Minna, et al.. (2024). Development and deployment of services based on D-BEST methodology for robotics and production automation related pilot lines. AIP conference proceedings. 3059. 20001–20001. 3 indexed citations
4.
Järvenpää, Eeva, et al.. (2022). Semantic rules for capability matchmaking in the context of manufacturing system design and reconfiguration. International Journal of Computer Integrated Manufacturing. 36(1). 128–154. 5 indexed citations
5.
Makris, Sotiris, George Michalos, Niki Kousi, et al.. (2022). Open-Digital-Industrial and Networking pilot lines using modular components for scalable production – ODIN project approach. Procedia CIRP. 106. 162–167. 1 indexed citations
6.
Järvenpää, Eeva, et al.. (2021). Capability matchmaking software for rapid production system design and reconfiguration planning. Procedia CIRP. 97. 435–440. 8 indexed citations
7.
Lanz, Minna, Niko Siltala, Roel Pieters, & Jyrki Latokartano. (2020). Concept for distributed robotics learning environment - Increasing the access to the robotics via modularisation of systems and mobility. Procedia Manufacturing. 45. 152–157. 3 indexed citations
8.
Järvenpää, Eeva, et al.. (2019). Implementation of capability matchmaking software facilitating faster production system design and reconfiguration planning. Journal of Manufacturing Systems. 53. 261–270. 8 indexed citations
9.
Järvenpää, Eeva, et al.. (2018). The development of an ontology for describing the capabilities of manufacturing resources. Journal of Intelligent Manufacturing. 30(2). 959–978. 120 indexed citations
10.
Järvenpää, Eeva, et al.. (2018). Product Model ontology and its use in capability-based matchmaking. Procedia CIRP. 72. 1094–1099. 18 indexed citations
11.
Siltala, Niko, Eeva Järvenpää, & Minna Lanz. (2018). Value Proposition of a Resource Description Concept in a Production Automation Domain. Procedia CIRP. 72. 1106–1111. 5 indexed citations
12.
Järvenpää, Eeva, Minna Lanz, & Niko Siltala. (2018). Formal Resource and Capability Models supporting Re-use of Manufacturing Resources. Procedia Manufacturing. 19. 87–94. 24 indexed citations
13.
Järvenpää, Eeva, et al.. (2017). Modelling Capabilities for Functional Configuration of Part Feeding Equipment. Procedia Manufacturing. 11. 2051–2060. 7 indexed citations
14.
Järvenpää, Eeva, et al.. (2017). Capability Matchmaking Procedure to Support Rapid Configuration and Re-configuration of Production Systems. Procedia Manufacturing. 11. 1053–1060. 22 indexed citations
15.
Siltala, Niko. (2016). Formal Digital Description of Production Equipment Modules for supporting System Design and Deployment. Tampere University Institutional Repository (Tampere University). 4 indexed citations
16.
Tuokko, Reijo, et al.. (2012). Micro and Desktop Factory Roadmap. Tampere University Institutional Repository (Tampere University). 1 indexed citations
17.
Siltala, Niko, et al.. (2011). Modular microfactory system for gas sensor assembly. 7?9. 1–6. 9 indexed citations
18.
Siltala, Niko, et al.. (2010). A H-Scara Mini Robot - a Dual Parallel Kinematics Mini Manipulator. 1–7. 1 indexed citations
19.
Siltala, Niko, et al.. (2010). Robots for Micro and Desktop Factories: Examples and Experiences. 1–7. 2 indexed citations
20.
Siltala, Niko, Andreas Hofmann, Reijo Tuokko, & Georg Bretthauer. (2009). Emplacement and Blue Print – An Approach to Handle and Describe Modules for Evolvable Assembly Systems. IFAC Proceedings Volumes. 42(16). 86–91. 11 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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