Simon Beyer

520 citations
14 papers · 435 · h-index 8

Impact in

    • Additive Manufacturing and 3D Printing Technologies
    • 3D Printing in Biomedical Research
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Bone Tissue Engineering Materials

Papers in

Simon Beyer

13 papers receiving 428 citations

Peers

Simon Beyer
Comparison fields: 5 of 84
  • Automotive Engineering 100
  • Biomedical Engineering 242
  • Plant Science 101
  • Cellular and Molecular Neuroscience 45
  • Biomaterials 33
Replace Cameron J. Ferris with:
Cameron J. Ferris Australia
Minmin Shao China
Yuanrong Li China
Hwa‐Rim Lee South Korea
Janne T. Koivisto Finland
Michael M. Peters United States
Christopher Aronsson Sweden
Jenny E. Párraga Finland
Shu-Kai Hu Taiwan
Simon Beyer relative to Cameron J. Ferris Australia Cameron J. Ferris's profile →
Citations per field
00.5×1.5×2.1×
Cameron J. Ferris · 1×
Citations per year

Countries citing papers authored by Simon Beyer

Since Specialization
Citations

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

Fields of papers citing papers by Simon Beyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Beyer. 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 Simon Beyer. The network helps show where Simon Beyer may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon Beyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Beyer Line = papers co-authored together Simon Beyer links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2011141
2 2018130
3 201945
4 201232
5 201331
6 202221
7 202014
8
A MICROFLUIDICS BASED 3D BIOPRINTER WITH ON-THE-FLY MULTIMATERIAL SWITCHING CAPABILITY
20137
9 20216
10 20163
11 20182
12 20221
13
Idéer för livet
20071
14 20211

About Simon Beyer

Simon Beyer is a scholar working on Biomedical Engineering, Molecular Biology, Automotive Engineering, Cellular and Molecular Neuroscience and Mechanical Engineering, having authored 14 papers that have together received 435 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (7 papers), Neuroscience and Neural Engineering (2 papers), Pluripotent Stem Cells Research (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Modular Robots and Swarm Intelligence (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Robotic Locomotion and Control (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Automotive Engineering (100 citations), Biomedical Engineering (242 citations), Plant Science (101 citations), Cellular and Molecular Neuroscience (45 citations) and Biomaterials (33 citations). Simon Beyer has collaborated with scholars based in Canada, Germany and Austria. Frequent co-authors include Konrad Walus, Quentin Cronk, Li‐Sheng Wang, Stephanie M. Willerth, Laura De la Vega, Laila Abelseth, Samuel Wadsworth, Ali Ahmadi, Katherine R. Thain and Christopher Td Dickman. Their work appears in journals such as Robotics and Autonomous Systems, Langmuir, Journal of Hepatology, Current Opinion in Biomedical Engineering and The FASEB Journal.

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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