Vedran Đerek
Impact in
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- Neuroscience and Neural Engineering
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
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- Neuroscience and Neural Engineering 15
- Photoreceptor and optogenetics research 2
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- Silicon Nanostructures and Photoluminescence 7
- Co-authors
- Eric Daniel Głowacki (23 shared papers)Marie Jakešová (13 shared papers)Ludovico Migliaccio (6 shared papers)Magnus Berggren A (4 shared papers)Malin Silverå Ejneby (4 shared papers)Maciej Gryszel (3 shared papers)Yael Hanein (3 shared papers)Tobias Cramer (3 shared papers)
In The Last Decade
Vedran Đerek
32 papers receiving 784 citations
Peers
Comparison fields: 5 of 53
- Cellular and Molecular Neuroscience 373
- Polymers and Plastics 93
- Electronic, Optical and Magnetic Materials 79
- Electrical and Electronic Engineering 189
- Biomedical Engineering 98
Countries citing papers authored by Vedran Đerek
This map shows the geographic impact of Vedran Đerek'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 Vedran Đerek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vedran Đerek more than expected).
Fields of papers citing papers by Vedran Đerek
This network shows the impact of papers produced by Vedran Đerek. 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 Vedran Đerek. The network helps show where Vedran Đerek may publish in the future.
Co-authors
The 25 scholars most cited alongside Vedran Đerek, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 133 | |
| 2 | 2018 | 131 | |
| 3 | 2019 | 106 | |
| 4 | 2015 | 44 | |
| 5 | 2020 | 39 | |
| 6 | 2021 | 39 | |
| 7 | 2019 | 36 | |
| 8 | 2018 | 33 | |
| 9 | 2018 | 31 | |
| 10 | 2020 | 26 | |
| 11 | 2016 | 19 | |
| 12 | 2022 | 19 | |
| 13 | 2014 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2015 | 17 | |
| 16 | 2022 | 17 | |
| 17 | 2021 | 12 | |
| 18 | 2006 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2025 | 5 |
About Vedran Đerek
Vedran Đerek is a scholar working on Cellular and Molecular Neuroscience, Materials Chemistry, Electrical and Electronic Engineering, Polymers and Plastics and Electronic, Optical and Magnetic Materials, having authored 34 papers that have together received 790 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (15 papers), Silicon Nanostructures and Photoluminescence (7 papers), Organic Electronics and Photovoltaics (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Conducting polymers and applications (3 papers), Photonic and Optical Devices (2 papers), Photoreceptor and optogenetics research (2 papers) and Silicon and Solar Cell Technologies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (373 citations), Polymers and Plastics (93 citations), Electronic, Optical and Magnetic Materials (79 citations), Electrical and Electronic Engineering (189 citations) and Biomedical Engineering (98 citations). Vedran Đerek has collaborated with scholars based in Croatia, Sweden and Czechia. Frequent co-authors include Eric Daniel Głowacki, Marie Jakešová, Ludovico Migliaccio, Magnus Berggren A, Malin Silverå Ejneby, Maciej Gryszel, Yael Hanein, Tobias Cramer, Mile Ivanda and Daniel T. Simon. Their work appears in journals such as Journal of Neural Engineering, Advanced Electronic Materials, Journal of Raman Spectroscopy, Advanced Materials and Advanced Materials Technologies.
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.