M. Bajko

2.4k citations
92 papers · 774 indexed · h-index 14

M. Bajko

87 papers receiving 738 citations

Peers

M. Bajko
Comparison fields: 5 of 39
  • Aerospace Engineering 398
  • Condensed Matter Physics 163
  • Biomedical Engineering 540
  • Electrical and Electronic Engineering 543
  • Nuclear and High Energy Physics 60
Replace H. Bajas with:
H. Bajas Switzerland
F. Toral Spain
M.N. Wilson United Kingdom
D. Tommasini Switzerland
M. Hamabe Japan
G. Moritz Germany
M. Wake Japan
Y. Makida Japan
M. Anerella United States
G. de Rijk Switzerland
M. Bajko relative to H. Bajas Switzerland H. Bajas's profile →
Citations per field
00.5×1.5×1.9×
H. Bajas · 1×
Citations per year

Countries citing papers authored by M. Bajko

Since Specialization
Citations

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

Fields of papers citing papers by M. Bajko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202211
3 20224
4 20205
5 201913
6 201813
7 20181
8 20165
9 20162
10 20144
11
New Cryogenic Test Station at CERN for Superconducting Magnets and their Components
20131
12 201314
13
ショートモデルコイル(SMC)2極子:Nb 3 Sn加速マグネットへ向けてのR&Dプログラム
20124
14 201254
15 20086
16 20071
17
LHC DIPOLE GEOMETRY PARAMETERS, COMPARISON BETWEEN PRODUCERS
20041
18 20007
19 20003
20
Training Tests on Single Superconducting Coils of Sextupolar Correctors for LHC
19991

About M. Bajko

M. Bajko is a scholar working on Aerospace Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Nuclear and High Energy Physics and Condensed Matter Physics, having authored 92 papers that have together received 774 indexed citations. Recurring topics across this work include Superconducting Materials and Applications (79 papers), Particle Accelerators and Free-Electron Lasers (57 papers), Particle accelerators and beam dynamics (53 papers), Advanced Fiber Optic Sensors (14 papers), Photonic and Optical Devices (8 papers), Spacecraft and Cryogenic Technologies (8 papers), Physics of Superconductivity and Magnetism (7 papers) and Magneto-Optical Properties and Applications (7 papers). The work is most often cited by research in Aerospace Engineering (398 citations), Condensed Matter Physics (163 citations), Biomedical Engineering (540 citations), Electrical and Electronic Engineering (543 citations) and Nuclear and High Energy Physics (60 citations). M. Bajko has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include A. Chiuchiolo, H. Bajas, Andrea Cusano, M. Giordano, L. Bottura, G. de Rijk, B. Bordini, F. Savary, M. Consales and J. C. Pérez. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Sensors and Actuators A Physical, Superconductor Science and Technology, Optics & Laser Technology and Optics 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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