Andreas Löcklin

439 total citations
19 papers, 275 citations indexed

About

Andreas Löcklin is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Andreas Löcklin has authored 19 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Aerospace Engineering. Recurrent topics in Andreas Löcklin's work include Flexible and Reconfigurable Manufacturing Systems (10 papers), Digital Transformation in Industry (9 papers) and Indoor and Outdoor Localization Technologies (2 papers). Andreas Löcklin is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (10 papers), Digital Transformation in Industry (9 papers) and Indoor and Outdoor Localization Technologies (2 papers). Andreas Löcklin collaborates with scholars based in Germany, Hungary and Mexico. Andreas Löcklin's co-authors include Michael Weyrich, Nasser Jazdi, Tamás Ruppert, Tobias Jung, János Abonyi, László Jakab, Timo Müller, Hannes Vietz, Benjamin Maschler and Matthias Klein and has published in prestigious journals such as Sensors, Journal of Manufacturing Systems and International Journal of Computer Integrated Manufacturing.

In The Last Decade

Andreas Löcklin

19 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Löcklin Germany 10 180 37 27 22 22 19 275
Elmahdi Bentafat Qatar 3 180 1.0× 37 1.0× 42 1.6× 19 0.9× 23 1.0× 9 334
Jinkang Guo China 7 123 0.7× 20 0.5× 29 1.1× 10 0.5× 18 0.8× 14 268
Rongli Zhao China 8 294 1.6× 42 1.1× 48 1.8× 26 1.2× 25 1.1× 14 413
Haijun Zhang China 8 226 1.3× 16 0.4× 19 0.7× 14 0.6× 32 1.5× 13 294
Jakub Arm Czechia 9 156 0.9× 26 0.7× 59 2.2× 11 0.5× 10 0.5× 31 252
Fengque Pei China 9 227 1.3× 30 0.8× 30 1.1× 11 0.5× 10 0.5× 35 318
Liyun Xu China 11 261 1.4× 25 0.7× 14 0.5× 21 1.0× 19 0.9× 52 376
Ana Cachada Portugal 6 219 1.2× 21 0.6× 29 1.1× 8 0.4× 31 1.4× 8 325
Marc Priggemeyer Germany 4 300 1.7× 27 0.7× 54 2.0× 22 1.0× 30 1.4× 11 426
Tommi Karhela Finland 11 172 1.0× 56 1.5× 24 0.9× 10 0.5× 28 1.3× 43 358

Countries citing papers authored by Andreas Löcklin

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Löcklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Löcklin

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Löcklin. A scholar is included among the top collaborators of Andreas Löcklin 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 Andreas Löcklin. Andreas Löcklin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Schuster, Alexander K., et al.. (2023). Synthetic data generation for the continuous development and testing of autonomous construction machinery. at - Automatisierungstechnik. 71(11). 953–968. 3 indexed citations
2.
Ruppert, Tamás, et al.. (2022). Hypergraph-based analysis and design of intelligent collaborative manufacturing space. Journal of Manufacturing Systems. 65. 88–103. 17 indexed citations
3.
Jazdi, Nasser, et al.. (2022). Adaptive Models for Safe Maintenance Planning of CPS. Procedia CIRP. 112. 214–219. 3 indexed citations
4.
Maschler, Benjamin, Timo Müller, Andreas Löcklin, & Michael Weyrich. (2022). Transfer Learning as an Enhancement for Reconfiguration Management of Cyber-Physical Production Systems. Procedia CIRP. 112. 220–225. 10 indexed citations
5.
Vietz, Hannes, et al.. (2022). Deep learning-based 5G indoor positioning in a manufacturing environment. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). 1–4. 4 indexed citations
6.
Löcklin, Andreas, et al.. (2022). Trajectory Prediction of Workers to Improve AGV and AMR Operation based on the Manufacturing Schedule. Procedia CIRP. 107. 283–288. 11 indexed citations
7.
Müller, Timo, et al.. (2022). Architecture and knowledge modelling for self-organized reconfiguration management of cyber-physical production systems. International Journal of Computer Integrated Manufacturing. 36(12). 1842–1863. 22 indexed citations
8.
Löcklin, Andreas, et al.. (2022). Trajectory Prediction of Moving Workers for Autonomous Mobile Robots on the Shop Floor. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). 1–8. 5 indexed citations
9.
Ruppert, Tamás, Andreas Löcklin, David Romero, & János Abonyi. (2022). Intelligent Collaborative Manufacturing Space for Augmenting Human Workers in Semi-Automated Manufacturing Systems. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). 2 indexed citations
10.
Vietz, Hannes, et al.. (2021). A Methodology to Identify Cognition Gaps in Visual Recognition Applications Based on Convolutional Neural Networks. arXiv (Cornell University). 2045–2050. 3 indexed citations
11.
Löcklin, Andreas, Tobias Jung, Nasser Jazdi, Tamás Ruppert, & Michael Weyrich. (2021). Architecture of a Human-Digital Twin as Common Interface for Operator 4.0 Applications. Procedia CIRP. 104. 458–463. 42 indexed citations
12.
Löcklin, Andreas, et al.. (2021). Data administration shell for data-science-driven development. Procedia CIRP. 100. 115–120. 12 indexed citations
13.
Löcklin, Andreas, et al.. (2021). Tailored digitization with real-time locating systems. atp magazin. 63(3). 76–83. 6 indexed citations
14.
Löcklin, Andreas, et al.. (2020). Trajectory Prediction of Humans in Factories and Warehouses with Real-Time Locating Systems. 1317–1320. 13 indexed citations
15.
Ruppert, Tamás, et al.. (2020). Real-Time Locating System in Production Management. Sensors. 20(23). 6766–6766. 45 indexed citations
16.
Löcklin, Andreas, et al.. (2020). Digital Twin for Verification and Validation of Industrial Automation Systems – a Survey. 851–858. 55 indexed citations
17.
Kowalewski, Stefan, Andreas Löcklin, Timo Müller, et al.. (2019). Formale Methoden für rekonfigurierbare cyber-physische Systeme in der Produktion. at - Automatisierungstechnik. 68(1). 3–14. 12 indexed citations
18.
Klein, Matthias, Andreas Löcklin, Nasser Jazdi, & Michael Weyrich. (2018). A negotiation based approach for agent based production scheduling. Procedia Manufacturing. 17. 334–341. 8 indexed citations
19.
Löcklin, Andreas, et al.. (2017). A model for improved association of radar and camera objects in an indoor environment. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 83. 1–6. 2 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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