Daniel Schweigert
Impact in
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- Machine Learning in Materials Science
- Quantum Dots Synthesis And Properties
- Copper-based nanomaterials and applications
Papers in
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- Electric and Hybrid Vehicle Technologies 5
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- Tribology and Lubrication Engineering 5
- Mechanical Engineering and Vibrations Research 5
- Gear and Bearing Dynamics Analysis 4
- Hydraulic and Pneumatic Systems 3
- Co-authors
- Guowen Ding (1 shared paper)César Clavero (1 shared paper)Karsten Stahl (10 shared papers)Brian D. Storey (3 shared papers)Ha-Kyung Kwon (3 shared papers)Michael K. Otto (8 shared papers)Thomas Lohner (4 shared papers)Steven B. Torrisi (2 shared papers)
- Journals
- Forschung im Ingenieurwesen (4 papers)Matter (2 papers)Macromolecules (1 paper)Applied Physics Reviews (1 paper)Journal of Physics Condensed Matter (1 paper)
- Partner nations
- GermanyLuxembourgJapan
In The Last Decade
Daniel Schweigert
18 papers receiving 268 citations
Peers
Comparison fields: 5 of 39
- Automotive Engineering 33
- Materials Chemistry 113
- Electrical and Electronic Engineering 126
- Information Systems and Management 13
- Mechanical Engineering 66
Countries citing papers authored by Daniel Schweigert
This map shows the geographic impact of Daniel Schweigert'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 Daniel Schweigert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schweigert more than expected).
Fields of papers citing papers by Daniel Schweigert
This network shows the impact of papers produced by Daniel Schweigert. 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 Daniel Schweigert. The network helps show where Daniel Schweigert may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Schweigert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 89 | |
| 2 | 2022 | 35 | |
| 3 | 2020 | 24 | |
| 4 | 2007 | 21 | |
| 5 | 2019 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2023 | 18 | |
| 8 | 2025 | 11 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2007 | 7 | |
| 12 | 2024 | 4 | |
| 13 | 2019 | 3 | |
| 14 | Noise and Efficiency Characteristics of High-Rev Transmissions in Electric Vehicles | 2018 | 3 |
| 15 | 2020 | 3 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | A First Efficiency and Dynamics Analysis of the Innovative Hyper-High-Speed Electromechanical Powertrain Speed4E | 2019 | 1 |
About Daniel Schweigert
Daniel Schweigert is a scholar working on Automotive Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Materials Chemistry and Information Systems and Management, having authored 18 papers that have together received 278 indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (5 papers), Electric and Hybrid Vehicle Technologies (5 papers), Mechanical Engineering and Vibrations Research (5 papers), Gear and Bearing Dynamics Analysis (4 papers), Machine Learning in Materials Science (4 papers), Hydraulic and Pneumatic Systems (3 papers), Quantum Dots Synthesis And Properties (2 papers) and Fuel Cells and Related Materials (2 papers). The work is most often cited by research in Automotive Engineering (33 citations), Materials Chemistry (113 citations), Electrical and Electronic Engineering (126 citations), Information Systems and Management (13 citations) and Mechanical Engineering (66 citations). Daniel Schweigert has collaborated with scholars based in Germany, Luxembourg and Japan. Frequent co-authors include Guowen Ding, César Clavero, Karsten Stahl, Brian D. Storey, Ha-Kyung Kwon, Michael K. Otto, Thomas Lohner, Steven B. Torrisi, Linda Hung and Shijing Sun. Their work appears in journals such as Forschung im Ingenieurwesen, Matter, Macromolecules, Applied Physics Reviews and Journal of Physics Condensed Matter.
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.