Daniel J. Eyckens

1.3k total citations
52 papers, 1.1k citations indexed

About

Daniel J. Eyckens is a scholar working on Mechanical Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Daniel J. Eyckens has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Mechanical Engineering, 20 papers in Materials Chemistry and 14 papers in Polymers and Plastics. Recurrent topics in Daniel J. Eyckens's work include Fiber-reinforced polymer composites (25 papers), Graphene research and applications (17 papers) and Surface Modification and Superhydrophobicity (12 papers). Daniel J. Eyckens is often cited by papers focused on Fiber-reinforced polymer composites (25 papers), Graphene research and applications (17 papers) and Surface Modification and Superhydrophobicity (12 papers). Daniel J. Eyckens collaborates with scholars based in Australia, France and United Kingdom. Daniel J. Eyckens's co-authors include Luke C. Henderson, Filip Stojcevski, James D. Randall, Tiffany R. Walsh, Barış Demir, Linden Servinis, Thomas R. Gengenbach, Melissa K. Stanfield, Jean Pinson and Paul S. Francis and has published in prestigious journals such as ACS Nano, Langmuir and Chemical Communications.

In The Last Decade

Daniel J. Eyckens

52 papers receiving 1.1k citations

Peers

Daniel J. Eyckens

SCF

Victor Kusuma United States

И. Л. Борисов Russia

Mohammad Ali Semsarzadeh Iran

Md. Mushfequr Rahman Germany

Shufeng Li China

Jitha S. Jayan India

Krishna Kumar India

Go Young Moon South Korea

Zihao Mou China

Teruhiko Kai Japan

Victor Kusuma United States

Daniel J. Eyckens

843 ×1.5

480 ×1.3

244 ×0.9

119 ×0.7

149 ×0.8

SCF

Citations per year, relative to Daniel J. Eyckens Daniel J. Eyckens (= 1×) peers Victor Kusuma

Countries citing papers authored by Daniel J. Eyckens

Since Specialization

Citations

This map shows the geographic impact of Daniel J. Eyckens'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 Daniel J. Eyckens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Eyckens more than expected).

Fields of papers citing papers by Daniel J. Eyckens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Eyckens. 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 Daniel J. Eyckens. The network helps show where Daniel J. Eyckens may publish in the future.

Co-authorship network of co-authors of Daniel J. Eyckens

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Eyckens. A scholar is included among the top collaborators of Daniel J. Eyckens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Eyckens. Daniel J. Eyckens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mulder, Roger J., et al.. (2024). Advancing antimicrobial polymer development: a novel database and accelerated design via machine learning. Polymer Chemistry. 15(40). 4063–4076. 3 indexed citations

Ramimoghadam, Donya, et al.. (2024). Towards Sustainable Materials: A Review of Acylhydrazone Chemistry for Reversible Polymers. Chemistry - A European Journal. 30(49). e202401728–e202401728. 16 indexed citations

Eyckens, Daniel J., David J. Hayne, Luke C. Henderson, et al.. (2023). Solvent-free surface modification of milled carbon fiber using resonant acoustic mixing. Applied Surface Science. 646. 158865–158865. 1 indexed citations

Linklater, Denver P., Phuc H. Le, Chaitali Dekiwadia, et al.. (2023). Piercing of the Human Parainfluenza Virus by Nanostructured Surfaces. ACS Nano. 18(2). 1404–1419. 7 indexed citations

Stojcevski, Filip, et al.. (2023). Exploring Inverse Vulcanized Dicyclopentadiene As a Polymer Matrix for Carbon Fiber Composites. Macromolecular Materials and Engineering. 309(3). 7 indexed citations

Hayne, David J., Bhagya Dharmasiri, Filip Stojcevski, et al.. (2023). Carbon fibre surface modification facilitated by silver-catalysed radical decarboxylation. Chemical Communications. 59(65). 9860–9863. 4 indexed citations

Eyckens, Daniel J., Shaun C. Howard, Graeme Moad, et al.. (2023). High-throughput concurrent synthesis of core-crosslinked star-polydimethylsiloxane using an arm-first approach. Polymer Chemistry. 14(37). 4282–4293. 1 indexed citations

Eyckens, Daniel J., Jacqui L. Adcock, James P. Blinco, et al.. (2023). Using Nitroxides to Enhance Carbon Fiber Interfacial Adhesion and as an Anchor for “Graft to” Surface Modification Strategies. Macromolecular Rapid Communications. 46(8). e2300274–e2300274. 2 indexed citations

Dharmasiri, Bhagya, James D. Randall, Yanting Yin, et al.. (2021). Surface modification of carbon fiber as a protective strategy against thermal degradation. Composites Part A Applied Science and Manufacturing. 153. 106740–106740. 16 indexed citations

10.

Masaldan, Shashank, S Clatworthy, Irene Volitakis, et al.. (2020). Copper Ionophores as Novel Antiobesity Therapeutics. Molecules. 25(21). 4957–4957. 11 indexed citations

11.

Stanfield, Melissa K., et al.. (2020). Using redox active molecules to build multilayered architecture on carbon fibers and the effect on adhesion in epoxy composites. Composites Science and Technology. 202. 108564–108564. 17 indexed citations

12.

Eyckens, Daniel J., Barış Demir, James D. Randall, et al.. (2020). Using molecular entanglement as a strategy to enhance carbon fiber-epoxy composite interfaces. Composites Science and Technology. 196. 108225–108225. 43 indexed citations

13.

Schweiker, Stephanie S., et al.. (2020). α‐Aminophosphonates as Potential PARP1 Inhibitors. ChemistrySelect. 5(14). 4205–4209. 8 indexed citations

14.

Randall, James D., Daniel J. Eyckens, Linden Servinis, et al.. (2019). Designing carbon fiber composite interfaces using a ‘graft-to’ approach: Surface grafting density versus interphase penetration. Carbon. 146. 88–96. 72 indexed citations

15.

Eyckens, Daniel J. & Luke C. Henderson. (2019). A Review of Solvate Ionic Liquids: Physical Parameters and Synthetic Applications. Frontiers in Chemistry. 7. 263–263. 85 indexed citations

16.

Eyckens, Daniel J., Linden Servinis, Mark D. Nave, et al.. (2019). Simultaneously increasing the hydrophobicity and interfacial adhesion of carbon fibres: a simple pathway to install passive functionality into composites. Journal of Materials Chemistry A. 7(22). 13483–13494. 49 indexed citations

17.

Eyckens, Daniel J., Linden Servinis, Christina Scheffler, et al.. (2018). Synergistic interfacial effects of ionic liquids as sizing agents and surface modified carbon fibers. Journal of Materials Chemistry A. 6(10). 4504–4514. 53 indexed citations

18.

Eyckens, Daniel J., et al.. (2018). Comparison of solvate ionic liquids and DMSO as an in vivo delivery and storage media for small molecular therapeutics. BMC Biotechnology. 18(1). 32–32. 7 indexed citations

19.

Eyckens, Daniel J. & Luke C. Henderson. (2017). Synthesis of α-aminophosphonates using solvate ionic liquids. RSC Advances. 7(45). 27900–27904. 30 indexed citations

20.

Eyckens, Daniel J., Barış Demir, Tiffany R. Walsh, Tom Welton, & Luke C. Henderson. (2016). Determination of Kamlet–Taft parameters for selected solvate ionic liquids. Physical Chemistry Chemical Physics. 18(19). 13153–13157. 44 indexed citations

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.

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