Matthias Weigold

1.9k total citations
138 papers, 1.1k citations indexed

About

Matthias Weigold is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Matthias Weigold has authored 138 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Mechanical Engineering, 44 papers in Industrial and Manufacturing Engineering and 38 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Matthias Weigold's work include Energy Efficiency and Management (35 papers), Advanced machining processes and optimization (26 papers) and Flexible and Reconfigurable Manufacturing Systems (19 papers). Matthias Weigold is often cited by papers focused on Energy Efficiency and Management (35 papers), Advanced machining processes and optimization (26 papers) and Flexible and Reconfigurable Manufacturing Systems (19 papers). Matthias Weigold collaborates with scholars based in Germany, Austria and Netherlands. Matthias Weigold's co-authors include Eberhard Abele, Stefan Rothenbücher, Matthias Oechsner, Martin Lindner, Niklas Panten, Holger Hoche, Armin Lange, Joachim Metternich, Jan C. Aurich and Johannes Schilp and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Applied Energy.

In The Last Decade

Matthias Weigold

115 papers receiving 1.0k citations

Peers

Matthias Weigold

IME

EEE

CSE

Yufeng Li China

Wei Ji China

Makoto Fujishima Japan

Jizhuang Hui China

Hakkı Özgür Ünver Türkiye

Jürgen Hesselbach Germany

Miloš Madić Serbia

Marc-André Dittrich Germany

Sibao Wang China

Yufeng Li China

Matthias Weigold

444 ×0.9

403 ×1.2

IME

234 ×0.9

EEE

90 ×0.4

CSE

131 ×0.6

Citations per year, relative to Matthias Weigold Matthias Weigold (= 1×) peers Yufeng Li

Countries citing papers authored by Matthias Weigold

Since Specialization

Citations

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

Fields of papers citing papers by Matthias Weigold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Weigold

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

All Works

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20 of 20 papers shown

Weigold, Matthias, et al.. (2025). Real-Time Capable Identification of Spindle Bearing Loads Using Computer Simulation, Feed Drive Currents and Machine Learning Methods. Procedia CIRP. 133. 704–709.

Weigold, Matthias, et al.. (2024). Development of stationary expert systems for improving energy efficiency in manufacturing. Procedia CIRP. 126. 921–926. 2 indexed citations

Weigold, Matthias, et al.. (2024). Towards data-driven quality monitoring for advanced metal inert gas welding processes in body-in-white. Journal of Manufacturing Systems. 77. 875–891. 2 indexed citations

Weigold, Matthias, et al.. (2024). Developing Expert Systems for Improving Energy Efficiency in Manufacturing: A Case Study on Parts Cleaning. Energies. 17(14). 3417–3417. 4 indexed citations

Thiede, Sebastian, et al.. (2024). Data-based energy performance root cause analysis methodology. Procedia CIRP. 130. 1037–1042.

Weigold, Matthias, et al.. (2024). Automatic Publication of Data to Data- and Service Ecosystems from the Shopfloor. Procedia CIRP. 130. 1589–1597. 1 indexed citations

Weigold, Matthias, et al.. (2024). Practical Implementation of the Sensory Utilization of Rolling Bearing Impedance Measurement: A Case Study in Machine Tool Spindle Bearings. Tribology Transactions. 67(4). 691–701. 2 indexed citations

Ristow, Gerald H., et al.. (2024). EuProGigant: A decentralized Federated Learning Approach based on Compute-to-Data and Gaia-X. Procedia CIRP. 128. 710–715. 1 indexed citations

Fernández-Valdivielso, A., et al.. (2023). CNN-based in situ tool wear detection: A study on model training and data augmentation in turning inserts. Journal of Manufacturing Systems. 68. 85–98. 29 indexed citations

10.

Weigold, Matthias, et al.. (2023). Analytical derivation and experimental verification of principle of a 3 DOF sensor integrated in an oil hydrostatic shallow recess thrust bearing. CIRP Annals. 72(1). 457–460. 2 indexed citations

11.

Ulbrich, Stefan, et al.. (2023). Optimal design for compliance modeling of industrial robots with bayesian inference of stiffnesses. Production Engineering. 17(5). 643–651. 6 indexed citations

12.

Lindner, Martin, et al.. (2023). Digital Twins in Manufacturing: A RAMI 4.0 Compliant Concept. SHILAP Revista de lepidopterología. 5(4). 40–40. 13 indexed citations

13.

Lindner, Martin, et al.. (2023). Holistic Approach for an Energy-Flexible Operation of a Machine Tool with Cooling Supply. Energies. 16(9). 3943–3943. 3 indexed citations

14.

Weigold, Matthias, et al.. (2023). Investigation of temperature gradient and solidification rate in laser-based powder bed fusion using a high-speed camera to evaluate local microstructure characteristics. CIRP Annals. 72(1). 197–200. 3 indexed citations

15.

Metternich, Joachim, et al.. (2023). Analysis of Uncertainty Factors in Part-Specific Greenhouse Gas Accounting. Sustainability. 15(24). 16871–16871. 3 indexed citations

16.

Weigold, Matthias, et al.. (2022). Machine Learning based quality prediction for milling processes using internal machine tool data. SHILAP Revista de lepidopterología. 4. 100074–100074. 24 indexed citations

17.

Weigold, Matthias, et al.. (2022). Learning Factories and Sustainable Engineering—Competencies for Students and Industrial Workforce. IEEE Engineering Management Review. 50(3). 115–122. 7 indexed citations

18.

Lindner, Martin, et al.. (2022). A Methodology for the Classification and Characterisation of Industrial Demand-Side Integration Measures. Energies. 15(3). 923–923. 5 indexed citations

19.

Weigold, Matthias, et al.. (2019). SmartTool++. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 114(4). 219–222. 1 indexed citations

20.

Lange, Armin, et al.. (2011). The Dead Sea scrolls in context : integrating the Dead Sea scrolls in the study of ancient texts, languages, and cultures. BRILL eBooks. 9 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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