Tim Leydecker
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
-
- Organic Electronics and Photovoltaics
- Advanced Memory and Neural Computing
- Perovskite Materials and Applications
Papers in
-
- Organic Electronics and Photovoltaics 12
- Advanced Memory and Neural Computing 7
- Organic Light-Emitting Diodes Research 4
- Perovskite Materials and Applications 4
-
- Luminescence and Fluorescent Materials 4
- Photochromic and Fluorescence Chemistry 4
- Co-authors
- Paolo Samorı́ (16 shared papers)Emanuele Orgiu (13 shared papers)Martin Herder (3 shared papers)Stefan Hecht (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 1.0k citations
Peers
Comparison fields: 5 of 54
- Polymers and Plastics 253
- Electrical and Electronic Engineering 632
- Materials Chemistry 492
- Surfaces, Coatings and Films 64
- Cellular and Molecular Neuroscience 148
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 338 | |
| 2 | 2019 | 105 | |
| 3 | 2022 | 91 | |
| 4 | 2018 | 81 | |
| 5 | 2020 | 58 | |
| 6 | 2020 | 50 | |
| 7 | 2019 | 42 | |
| 8 | 2019 | 33 | |
| 9 | 2020 | 32 | |
| 10 | 2017 | 31 | |
| 11 | 2019 | 28 | |
| 12 | 2016 | 26 | |
| 13 | 2018 | 20 | |
| 14 | 2022 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2014 | 13 | |
| 17 | 2017 | 13 | |
| 18 | 2024 | 10 | |
| 19 | 2023 | 6 | |
| 20 | 2024 | 6 |
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 28 papers that have together received 1.0k 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), Organic Light-Emitting Diodes Research (4 papers), Luminescence and Fluorescent Materials (4 papers), Photoreceptor and optogenetics research (4 papers), Perovskite Materials and Applications (4 papers) and Photochromic and Fluorescence Chemistry (4 papers). The work is most often cited by research in Polymers and Plastics (253 citations), Electrical and Electronic Engineering (632 citations), Materials Chemistry (492 citations), Surfaces, Coatings and Films (64 citations) and Cellular and Molecular Neuroscience (148 citations). Tim Leydecker has collaborated with scholars based in France, China and Italy. Frequent co-authors include Paolo Samorı́, Emanuele Orgiu, Martin Herder, Stefan Hecht, 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, Advanced Science, Journal of the American Chemical Society, Advanced Functional Materials and Carbon.
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.