M. Grajcar

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

Impact in

Papers in

M. Grajcar

96 papers receiving 2.2k citations

Peers

M. Grajcar
Comparison fields: 5 of 47
  • Condensed Matter Physics 763
  • Atomic and Molecular Physics, and Optics 1.8k
  • Artificial Intelligence 1.2k
  • Electronic, Optical and Magnetic Materials 302
  • Statistical and Nonlinear Physics 119
Replace Audrey Cottet with:
Audrey Cottet France
I. I. Soloviev Russia
D. Estève France
A. Lukashenko Germany
Kosuke Kakuyanagi Japan
A. K. Feofanov Switzerland
Takis Kontos France
A. N. Omelyanchouk Ukraine
Manuel Houzet France
A. Aassime France
M. Grajcar relative to Audrey Cottet France Audrey Cottet's profile →
Citations per field
00.5×1.6×
Audrey Cottet · 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-authors

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

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994162
2 2001143
3 2007140
4 2003126
5 2004116
6 200886
7 200875
8 200768
9 199963
10 200657
11 200657
12 200454
13 200248
14 200343
15 201743
16 201341
17 200840
18 200539
19 200535
20 200433

About M. Grajcar

M. Grajcar is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Artificial Intelligence, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering, 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 Magnetic properties of thin films (8 papers). The work is most often cited by research in Condensed Matter Physics (763 citations), Atomic and Molecular Physics, and Optics (1.8k citations), Artificial Intelligence (1.2k citations), Electronic, Optical and Magnetic Materials (302 citations) and Statistical and Nonlinear Physics (119 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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