Tim Leydecker
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
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- Organic Electronics and Photovoltaics
- Advanced Memory and Neural Computing
- Perovskite Materials and Applications
Papers in ⓘ
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- Organic Electronics and Photovoltaics 12
- Advanced Memory and Neural Computing 7
- Organic Light-Emitting Diodes Research 4
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- Luminescence and Fluorescent Materials 4
- Photochromic and Fluorescence Chemistry 4
- 2D Materials and Applications 3
- Co-authors
- Paolo Samorı́ (16 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
27 papers receiving 982 citations
Peers
Comparison fields: 5 of 54
- Polymers and Plastics 248
- Electrical and Electronic Engineering 615
- Materials Chemistry 481
- Surfaces, Coatings and Films 62
- Cellular and Molecular Neuroscience 147
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 330 | |
| 2 | 2019 | 103 | |
| 3 | 2022 | 86 | |
| 4 | 2018 | 80 | |
| 5 | 2020 | 55 | |
| 6 | 2020 | 45 | |
| 7 | 2019 | 41 | |
| 8 | 2019 | 33 | |
| 9 | 2020 | 32 | |
| 10 | 2017 | 31 | |
| 11 | 2019 | 27 | |
| 12 | 2016 | 26 | |
| 13 | 2018 | 20 | |
| 14 | 2022 | 16 | |
| 15 | 2018 | 13 | |
| 16 | 2014 | 12 | |
| 17 | 2017 | 11 | |
| 18 | 2024 | 8 | |
| 19 | 2023 | 6 | |
| 20 | 2024 | 5 |
About Tim Leydecker
Tim Leydecker is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 27 papers that have together received 995 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (12 papers), Conducting polymers and applications (7 papers), Advanced Memory and Neural Computing (7 papers), Luminescence and Fluorescent Materials (4 papers), Organic Light-Emitting Diodes Research (4 papers), Photochromic and Fluorescence Chemistry (4 papers), Photoreceptor and optogenetics research (4 papers) and 2D Materials and Applications (3 papers). The work is most often cited by research in Polymers and Plastics (248 citations), Electrical and Electronic Engineering (615 citations), Materials Chemistry (481 citations), Surfaces, Coatings and Films (62 citations) and Cellular and Molecular Neuroscience (147 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, Yifan Yao and Lei Zhang. Their work appears in journals such as Journal of Materials Chemistry C, Journal of the American Chemical Society, Advanced Science, Advanced Functional Materials and Dyes and Pigments.
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.