M. Grajcar

2.9k citations
101 papers · 2.2k indexed · h-index 27

M. Grajcar

96 papers receiving 2.1k citations

Peers

M. Grajcar
Comparison fields: 5 of 46
  • Condensed Matter Physics 761
  • Atomic and Molecular Physics, and Optics 1.8k
  • Artificial Intelligence 1.2k
  • Electronic, Optical and Magnetic Materials 299
  • Statistical and Nonlinear Physics 117
Replace D. Estève with:
D. Estève France
A. Lukashenko Germany
A. N. Omelyanchouk Ukraine
A. Aassime France
Manuel Houzet France
Kosuke Kakuyanagi Japan
I. I. Soloviev Russia
Rekishu Yamazaki Japan
Peter P. Orth United States
Takis Kontos France
M. Grajcar relative to D. Estève France D. Estève's profile →
Citations per field
00.5×3.4×
D. Estève · 1×
Citations per year

Countries citing papers authored by M. Grajcar

Since Specialization
Citations

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

Fields of papers citing papers by M. Grajcar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20240
4 20240
5 202411
6 20236
7 20212
8 201742
9 20153
10 201340
11 200872
12 200840
13 2007136
14
Experimental realization of direct Josephson coupling between superconducting flux qubits
20051
15 2004113
16
Experimental evidence for entangled states formation in a system of two coupled flux qubits
20031
17 20022
18 2001143
19 19981
20 19961

About M. Grajcar

M. Grajcar is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electronic, Optical and Magnetic Materials and Statistical and Nonlinear Physics, having authored 101 papers that have together received 2.2k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (51 papers), Quantum and electron transport phenomena (47 papers), Quantum Information and Cryptography (37 papers), Quantum Computing Algorithms and Architecture (16 papers), Superconductivity in MgB2 and Alloys (13 papers), Mechanical and Optical Resonators (11 papers), Quantum optics and atomic interactions (9 papers) and Iron-based superconductors research (8 papers). The work is most often cited by research in Condensed Matter Physics (761 citations), Atomic and Molecular Physics, and Optics (1.8k citations), Artificial Intelligence (1.2k citations), Electronic, Optical and Magnetic Materials (299 citations) and Statistical and Nonlinear Physics (117 citations). M. Grajcar has collaborated with scholars based in Slovakia, Germany and Russia. Frequent co-authors include E. Il’ichev, H.‐G. Meyer, A. Izmalkov, A. M. Zagoskin, Alec Maassen van den Brink, A. Plecenı́k, Uwe Hübner, M. H. S. Amin, S. H. W. van der Ploeg and Š. Beňačka. Their work appears in journals such as Physical Review B, Physica C Superconductivity, Physical review. B, Condensed matter, Physical Review Letters and Physical review. B..

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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