Ken Everaerts

502 citations
8 papers · 427 · h-index 8

Impact in

Papers in

    • Advanced Memory and Neural Computing 5
    • Organic Electronics and Photovoltaics 3
    • Semiconductor materials and devices 3
    • Thin-Film Transistor Technologies 2
    • Advancements in Semiconductor Devices and Circuit Design 1
    • Carbon Nanotubes in Composites 2
    • ZnO doping and properties 1

Ken Everaerts

8 papers receiving 423 citations

Peers

Ken Everaerts
Comparison fields: 5 of 30
  • Polymers and Plastics 85
  • Electrical and Electronic Engineering 324
  • Materials Chemistry 241
  • Bioengineering 18
  • Biomedical Engineering 128
Replace Abdesselam Jedaa with:
Abdesselam Jedaa Germany
Alexander Ebel Germany
Inés Temiño Spain
Anna C. Véron Switzerland
Cleber A. Amorim Brazil
Huiwen Du China
Fabien Lemasson Germany
Longfeng Jiang China
Alrun A. Günther Germany
Eric Kai‐Hsiang Yu United States
Ken Everaerts relative to Abdesselam Jedaa Germany Abdesselam Jedaa's profile →
Citations per field
00.5×1.5×2.3×
Abdesselam Jedaa · 1×
Citations per year

Countries citing papers authored by Ken Everaerts

Since Specialization
Citations

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

Fields of papers citing papers by Ken Everaerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Ken Everaerts, 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 Ken Everaerts Line = papers co-authored together Ken Everaerts links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2014103
2 201388
3 201265
4 201365
5 201360
6 201524
7 201813
8 20139

About Ken Everaerts

Ken Everaerts is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 8 papers that have together received 427 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Organic Electronics and Photovoltaics (3 papers), Semiconductor materials and devices (3 papers), Carbon Nanotubes in Composites (2 papers), Nanowire Synthesis and Applications (2 papers), Thin-Film Transistor Technologies (2 papers), ZnO doping and properties (1 paper) and Advancements in Semiconductor Devices and Circuit Design (1 paper). The work is most often cited by research in Polymers and Plastics (85 citations), Electrical and Electronic Engineering (324 citations), Materials Chemistry (241 citations), Bioengineering (18 citations) and Biomedical Engineering (128 citations). Ken Everaerts has collaborated with scholars based in United States, India and Philippines. Frequent co-authors include Mark C. Hersam, Tobin J. Marks, Young‐Geun Ha, Antonio Facchetti, Julian J. McMorrow, Jonathan W. Hennek, Pradyumna L. Prabhumirashi, Michael L. Geier, Michael J. Bedzyk and Deep Jariwala. Their work appears in journals such as ACS Applied Materials & Interfaces, Advanced Electronic Materials, Journal of the American Chemical Society, Applied Physics Letters and Nano Letters.

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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