Minna Lanz

2.2k total citations
78 papers, 1.4k citations indexed

About

Minna Lanz is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Mechanical Engineering. According to data from OpenAlex, Minna Lanz has authored 78 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Industrial and Manufacturing Engineering, 18 papers in Management of Technology and Innovation and 11 papers in Mechanical Engineering. Recurrent topics in Minna Lanz's work include Manufacturing Process and Optimization (31 papers), Flexible and Reconfigurable Manufacturing Systems (30 papers) and Digital Transformation in Industry (22 papers). Minna Lanz is often cited by papers focused on Manufacturing Process and Optimization (31 papers), Flexible and Reconfigurable Manufacturing Systems (30 papers) and Digital Transformation in Industry (22 papers). Minna Lanz collaborates with scholars based in Finland, Norway and Greece. Minna Lanz's co-authors include Jyrki Latokartano, Eeva Järvenpää, Niko Siltala, Roel Pieters, Antti Hietanen, Joni‐Kristian Kämäräinen, Andrei Lobov, Konstantinos Georgoulias, Cecilia Berlin and Marta Pinzone and has published in prestigious journals such as Journal of Cleaner Production, Robotics and Autonomous Systems and Journal of Manufacturing Systems.

In The Last Decade

Minna Lanz

76 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minna Lanz Finland 19 761 207 176 157 148 78 1.4k
Zuoxu Wang China 16 557 0.7× 119 0.6× 275 1.6× 127 0.8× 107 0.7× 44 1.4k
Arne Bilberg Denmark 17 1.2k 1.6× 288 1.4× 173 1.0× 271 1.7× 96 0.6× 66 2.1k
Dimitris Mavrikios Greece 18 753 1.0× 75 0.4× 144 0.8× 95 0.6× 139 0.9× 29 1.4k
Windo Hutabarat United Kingdom 14 636 0.8× 98 0.5× 82 0.5× 186 1.2× 119 0.8× 43 1.1k
Åsa Fast–Berglund Sweden 18 923 1.2× 95 0.5× 325 1.8× 111 0.7× 186 1.3× 87 1.5k
Margherita Peruzzini Italy 26 1.0k 1.3× 208 1.0× 236 1.3× 244 1.6× 148 1.0× 154 2.2k
Michael ten Hompel Germany 20 838 1.1× 93 0.4× 183 1.0× 159 1.0× 361 2.4× 116 1.7k
Dominic Gorecky Germany 17 1.4k 1.8× 139 0.7× 168 1.0× 143 0.9× 267 1.8× 24 2.2k
John Angelopoulos Greece 26 806 1.1× 91 0.4× 93 0.5× 116 0.7× 300 2.0× 100 2.1k
Nikos Panopoulos Greece 22 631 0.8× 74 0.4× 76 0.4× 103 0.7× 186 1.3× 47 1.4k

Countries citing papers authored by Minna Lanz

Since Specialization
Citations

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

Fields of papers citing papers by Minna Lanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minna Lanz

This figure shows the co-authorship network connecting the top 25 collaborators of Minna Lanz. A scholar is included among the top collaborators of Minna Lanz 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 Minna Lanz. Minna Lanz 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.
Saari, Ulla A., Svenja Damberg, Leena Aarikka‐Stenroos, et al.. (2023). Capabilities for circular economy innovation: Factors leading to product/service innovations in the construction and manufacturing industries. Journal of Cleaner Production. 434. 140295–140295. 22 indexed citations
5.
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
6.
7.
Lobov, Andrei, et al.. (2021). Towards the Interoperability of IoT Platforms: A Case Study for Data Collection and Data Storage. IFAC-PapersOnLine. 54(1). 1138–1143. 8 indexed citations
8.
Hietanen, Antti, Jyrki Latokartano, Alessandro Foi, et al.. (2021). Benchmarking pose estimation for robot manipulation. Robotics and Autonomous Systems. 143. 103810–103810. 4 indexed citations
9.
Latokartano, Jyrki, et al.. (2021). Review on existing VR/AR solutions in human–robot collaboration. Procedia CIRP. 97. 407–411. 83 indexed citations
10.
Lobov, Andrei, et al.. (2020). Emotions-aware Digital Twins For Manufacturing. Procedia Manufacturing. 51. 605–612. 8 indexed citations
11.
Latokartano, Jyrki, et al.. (2020). Concept for Virtual Safety Training System for Human-Robot Collaboration. Procedia Manufacturing. 51. 54–60. 18 indexed citations
12.
Lanz, Minna, et al.. (2020). Lean Indicators for Small Batch Size Manufacturers in High Cost Countries. Procedia Manufacturing. 51. 1371–1378. 6 indexed citations
13.
Lobov, Andrei, et al.. (2019). A unified ontology namespace for enterprise integration - a digital twin case study. 13–22. 4 indexed citations
14.
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
15.
Hietanen, Antti, Jyrki Latokartano, Alessandro Foi, et al.. (2019). Benchmarking 6D Object Pose Estimation for Robotics.. arXiv (Cornell University). 4 indexed citations
16.
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
17.
Lanz, Minna, et al.. (2018). Real-time and Robust Collaborative Robot Motion Control with Microsoft Kinect ® v2. Trepo - Institutional Repository of Tampere University. 1–6. 9 indexed citations
18.
Järvenpää, Eeva, et al.. (2018). Product Model ontology and its use in capability-based matchmaking. Procedia CIRP. 72. 1094–1099. 18 indexed citations
19.
Järvenpää, Eeva, et al.. (2016). Challenges of Knowledge and Information Management during New Product Introduction: Experiences from a Finnish Multinational Company. Interdisciplinary Journal of Information Knowledge and Management. 11. 285–308. 1 indexed citations
20.
Lanz, Minna, et al.. (2008). Improving Learning Results with Peer Evaluation. 799–804.

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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