Ioannis Karampelas

1.2k citations
46 papers · 824 indexed · h-index 16

Ioannis Karampelas

43 papers receiving 802 citations

Peers

Ioannis Karampelas
Comparison fields: 5 of 110
  • Neurology 163
  • Developmental Neuroscience 30
  • Biomedical Engineering 287
  • Genetics 45
  • Electronic, Optical and Magnetic Materials 74
Replace Masahiro Sawada with:
Masahiro Sawada Japan
Kosuke Kuwabara Japan
Carlos A. Aguilar United States
R. de Rooij United States
Aline M. Thomas United States
Gengsheng Mao China
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K. Y. Lim Singapore
Ioannis Karampelas relative to Masahiro Sawada Japan Masahiro Sawada's profile →
Citations per field
00.5×4.3×
Masahiro Sawada · 1×
Citations per year

Countries citing papers authored by Ioannis Karampelas

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis Karampelas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ioannis Karampelas, 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 Ioannis Karampelas Line = papers co-authored together Ioannis Karampelas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202436
4 20243
5 202027
6
Additive Manufacturing of Microfluidic Components via Wax Extrusion
20181
7 20185
8 201813
9
Drop-on-Demand 3D Metal Printing
20178
10
Advances in Magnetohydrodynamic Molten Metal Jet Printing
20162
11
Magnetohydrodynamic Liquid Metal Jet Printing
20153
12 20141
13
Numerical Analysis of Laser Induced Photothermal Effects using Colloidal Plasmonic Nanostructures
20141
14
Open-Surface Microfluidics
20142
15 201360
16 201256
17 20072
18 200714
19 20054
20 200411

About Ioannis Karampelas

Ioannis Karampelas is a scholar working on Neurology, Developmental Neuroscience and Biomedical Engineering, having authored 46 papers that have together received 824 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (7 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Cervical and Thoracic Myelopathy (4 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Spinal Fractures and Fixation Techniques (4 papers) and Meningioma and schwannoma management (4 papers). The work is most often cited by research in Neurology (163 citations), Developmental Neuroscience (30 citations) and Biomedical Engineering (287 citations). Ioannis Karampelas has collaborated with scholars based in United States, Spain and Greece. Frequent co-authors include Edward P. Furlani, Jenifer Gómez‐Pastora, Kostas N. Fountas, Inmaculada Ortíz, Eugenio Bringas, Theofilos G. Machinis, Nicholas C. Bambakidis, Warren R. Selman, Angel Boev and Xiaozheng Xue. Their work appears in journals such as Advanced Functional Materials, Scientific Reports and Chemical Engineering 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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