M.G. Barseghyan

1.8k total citations
68 papers, 1.5k citations indexed

About

M.G. Barseghyan is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, M.G. Barseghyan has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Atomic and Molecular Physics, and Optics, 23 papers in Electrical and Electronic Engineering and 19 papers in Artificial Intelligence. Recurrent topics in M.G. Barseghyan's work include Semiconductor Quantum Structures and Devices (60 papers), Quantum and electron transport phenomena (45 papers) and Quantum Information and Cryptography (19 papers). M.G. Barseghyan is often cited by papers focused on Semiconductor Quantum Structures and Devices (60 papers), Quantum and electron transport phenomena (45 papers) and Quantum Information and Cryptography (19 papers). M.G. Barseghyan collaborates with scholars based in Armenia, Colombia and Chile. M.G. Barseghyan's co-authors include A.A. Kirakosyan, C.A. Duque, D. Laroze, H.M. Baghramyan, M.E. Mora‐Ramos, R.L. Restrepo, A. Radu, Laura M. Pérez, Sonia López and E.C. Niculescu and has published in prestigious journals such as Journal of Applied Physics, Scientific Reports and Journal of Physics Condensed Matter.

In The Last Decade

M.G. Barseghyan

66 papers receiving 1.5k citations

Peers

M.G. Barseghyan
Comparison fields: 5 of 33
  • Atomic and Molecular Physics, and Optics 1.4k
  • Electrical and Electronic Engineering 471
  • Materials Chemistry 406
  • Artificial Intelligence 300
  • Condensed Matter Physics 162
Replace Yusuf Yakar with:
Yusuf Yakar Türkiye
M.J. Karimi Iran
E.C. Niculescu Romania
J.C. Martı́nez-Orozco Mexico
A.A. Kirakosyan Armenia
U. Yesilgül Türkiye
Kangxian Guo China
Hassen Dakhlaoui Saudi Arabia
F. Bernardot France
E. A. de Andrada e Silva Brazil
Yusuf Yakar Türkiye View profile →
Citations per field, relative to M.G. Barseghyan
M.G. Barseghyan · 1×
Citations per year, relative to M.G. Barseghyan
M.G. Barseghyan · 1×

Countries citing papers authored by M.G. Barseghyan

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Barseghyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.G. Barseghyan

This figure shows the co-authorship network connecting the top 25 collaborators of M.G. Barseghyan. A scholar is included among the top collaborators of M.G. Barseghyan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.G. Barseghyan. M.G. Barseghyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 11
3 7
4 4
5 2
6 34
7 41
8 38
9 25
10 15
11 4
12 31
13 37
14 4
15 3
16 28
17 45
18 16
19 69
20 5

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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