Tim Würger
Impact in
- Metals and Alloys top 5%
- Hydrogen embrittlement and corrosion behaviors in metals
- Biomaterials top 10%
- Magnesium Alloys: Properties and Applications
Papers in
-
- Corrosion Behavior and Inhibition 13
- Machine Learning in Materials Science 7
- Magnesium Oxide Properties and Applications 3
- Thermal and Kinetic Analysis 2
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- Magnesium Alloys: Properties and Applications 6
- Co-authors
- Mikhail L. Zheludkevich (14 shared papers)Robert H. Meißner (11 shared papers)Christian Feiler (13 shared papers)Sviatlana V. Lamaka (11 shared papers)Gregor B. Vonbun‐Feldbauer (4 shared papers)David A. Winkler (4 shared papers)Bahram Vaghefinazari (4 shared papers)Daniel Höche (5 shared papers)
In The Last Decade
Tim Würger
19 papers receiving 399 citations
Peers
Comparison fields: 5 of 44
- Metals and Alloys 90
- Biomaterials 127
- Materials Chemistry 350
- Civil and Structural Engineering 67
- Renewable Energy, Sustainability and the Environment 36
Countries citing papers authored by Tim Würger
This map shows the geographic impact of Tim Würger'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 Tim Würger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Würger more than expected).
Fields of papers citing papers by Tim Würger
This network shows the impact of papers produced by Tim Würger. 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 Tim Würger. The network helps show where Tim Würger may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Würger, 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 | 2020 | 56 | |
| 2 | 2019 | 50 | |
| 3 | 2020 | 48 | |
| 4 | 2019 | 38 | |
| 5 | 2021 | 32 | |
| 6 | 2024 | 29 | |
| 7 | 2021 | 29 | |
| 8 | 2018 | 28 | |
| 9 | 2021 | 23 | |
| 10 | 2022 | 15 | |
| 11 | 2017 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2024 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2025 | 9 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 |
About Tim Würger
Tim Würger is a scholar working on Materials Chemistry, Biomaterials, Metals and Alloys, Electrical and Electronic Engineering and Mechanics of Materials, having authored 19 papers that have together received 420 indexed citations. Recurring topics across this work include Corrosion Behavior and Inhibition (13 papers), Machine Learning in Materials Science (7 papers), Magnesium Alloys: Properties and Applications (6 papers), Hydrogen embrittlement and corrosion behaviors in metals (5 papers), Advancements in Battery Materials (3 papers), Magnesium Oxide Properties and Applications (3 papers), Thermal and Kinetic Analysis (2 papers) and Concrete Corrosion and Durability (1 paper). The work is most often cited by research in Metals and Alloys (90 citations), Biomaterials (127 citations), Materials Chemistry (350 citations), Civil and Structural Engineering (67 citations) and Renewable Energy, Sustainability and the Environment (36 citations). Tim Würger has collaborated with scholars based in Germany, Australia and China. Frequent co-authors include Mikhail L. Zheludkevich, Robert H. Meißner, Christian Feiler, Sviatlana V. Lamaka, Gregor B. Vonbun‐Feldbauer, David A. Winkler, Bahram Vaghefinazari, Daniel Höche, J.M.C. Mol and Di Mei. Their work appears in journals such as npj Materials Degradation, Corrosion Science, The Journal of Physical Chemistry C, Energy storage materials and Advanced Energy Materials.
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.