Tim Leydecker
Impact in
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- Organic Electronics and Photovoltaics
- Advanced Memory and Neural Computing
- Materials Chemistry top 10%
- 2D Materials and Applications
- Photochromic and Fluorescence Chemistry
- Graphene research and applications
Papers in
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- Organic Electronics and Photovoltaics 16
- Perovskite Materials and Applications 4
- Organic Light-Emitting Diodes Research 3
- Advanced Memory and Neural Computing 2
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- 2D Materials and Applications 3
- Graphene research and applications 3
- Advanced Thermoelectric Materials and Devices 1
- Co-authors
- Paolo Samorı́ (17 shared papers)Emanuele Orgiu (13 shared papers)Stefan Hecht (3 shared papers)Martin Herder (3 shared papers)Gvido Bratina (1 shared paper)Egon Pavlica (1 shared paper)Artur Ciesielski (3 shared papers)Samanta Witomska (1 shared paper)
In The Last Decade
Tim Leydecker
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 38
- Electrical and Electronic Engineering 593
- Materials Chemistry 340
- Surfaces, Coatings and Films 51
- Polymers and Plastics 46
- Electronic, Optical and Magnetic Materials 53
Countries citing papers authored by Tim Leydecker
This map shows the geographic impact of Tim Leydecker'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 Leydecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Leydecker more than expected).
Fields of papers citing papers by Tim Leydecker
This network shows the impact of papers produced by Tim Leydecker. 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 Leydecker. The network helps show where Tim Leydecker may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Leydecker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 343 | |
| 2 | 2019 | 112 | |
| 3 | 2022 | 101 | |
| 4 | 2018 | 82 | |
| 5 | 2020 | 65 | |
| 6 | 2020 | 54 | |
| 7 | 2019 | 43 | |
| 8 | 2019 | 35 | |
| 9 | 2020 | 35 | |
| 10 | 2017 | 31 | |
| 11 | 2019 | 29 | |
| 12 | 2016 | 28 | |
| 13 | 2018 | 20 | |
| 14 | 2022 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2014 | 13 | |
| 17 | 2017 | 13 | |
| 18 | 2024 | 13 | |
| 19 | 2025 | 8 | |
| 20 | 2024 | 7 |
About Tim Leydecker
Tim Leydecker is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Aerospace Engineering and Mechanical Engineering, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (16 papers), Perovskite Materials and Applications (4 papers), Organic Light-Emitting Diodes Research (3 papers), 2D Materials and Applications (3 papers), Graphene research and applications (3 papers), Advanced Memory and Neural Computing (2 papers), Advanced Materials and Mechanics (1 paper) and Advanced Thermoelectric Materials and Devices (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (593 citations), Materials Chemistry (340 citations), Surfaces, Coatings and Films (51 citations), Polymers and Plastics (46 citations) and Electronic, Optical and Magnetic Materials (53 citations). Tim Leydecker has collaborated with scholars based in France, China and Italy. Frequent co-authors include Paolo Samorı́, Emanuele Orgiu, Stefan Hecht, Martin Herder, Gvido Bratina, Egon Pavlica, Artur Ciesielski, Samanta Witomska, Lei Zhang and Yifan Yao. Their work appears in journals such as Journal of Materials Chemistry C, ACS Applied Materials & Interfaces, Journal of the American Chemical Society, Advanced Science and Advanced Functional 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.