Vardan Baghmanyan

1.4k total citations
11 papers, 107 citations indexed

About

Vardan Baghmanyan is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atmospheric Science. According to data from OpenAlex, Vardan Baghmanyan has authored 11 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nuclear and High Energy Physics, 9 papers in Astronomy and Astrophysics and 1 paper in Atmospheric Science. Recurrent topics in Vardan Baghmanyan's work include Astrophysics and Cosmic Phenomena (11 papers), Gamma-ray bursts and supernovae (5 papers) and Radio Astronomy Observations and Technology (4 papers). Vardan Baghmanyan is often cited by papers focused on Astrophysics and Cosmic Phenomena (11 papers), Gamma-ray bursts and supernovae (5 papers) and Radio Astronomy Observations and Technology (4 papers). Vardan Baghmanyan collaborates with scholars based in Italy, Germany and Armenia. Vardan Baghmanyan's co-authors include N. Sahakyan, D. Zargaryan, Sargis Gasparyan, F. Aharonian, S. Casanova, Ruizhi Yang, Jonathan Mackey, S. Gabici, Giada Peron and Stefano Marchesi and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Letters.

In The Last Decade

Vardan Baghmanyan

8 papers receiving 94 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vardan Baghmanyan Italy	7	102	94	10	2	1	11	107
Q. Gao China	6	93 0.9×	85 0.9×	12 1.2×	2 1.0×		28	104
R. Reinthal Finland	5	96 0.9×	95 1.0×	5 0.5×	2 1.0×		6	102
F. Lucarelli Italy	5	80 0.8×	68 0.7×	4 0.4×	3 1.5×		41	87
D. Zargaryan Ireland	5	67 0.7×	73 0.8×	5 0.5×	1 0.5×		7	79
Z. J. Guo China	4	109 1.1×	93 1.0×	4 0.4×	4 2.0×		8	120
Sincheol Kang South Korea	8	118 1.2×	117 1.2×	6 0.6×	3 1.5×		16	122
J. Blanchard United States	5	79 0.8×	83 0.9×	3 0.3×	3 1.5×		11	96
M. Bryan Germany	3	70 0.7×	51 0.5×	5 0.5×	1 0.5×	1 1.0×	3	79
S. Wykes United Kingdom	5	124 1.2×	123 1.3×	4 0.4×	1 0.5×		6	133
A. Furniss United States	5	104 1.0×	90 1.0×	5 0.5×			14	108

Countries citing papers authored by Vardan Baghmanyan

Since Specialization

Citations

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

Fields of papers citing papers by Vardan Baghmanyan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vardan Baghmanyan

This figure shows the co-authorship network connecting the top 25 collaborators of Vardan Baghmanyan. A scholar is included among the top collaborators of Vardan Baghmanyan 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 Vardan Baghmanyan. Vardan Baghmanyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Peron, Giada, S. Casanova, S. Gabici, Vardan Baghmanyan, & F. Aharonian. (2024). The contribution of winds from star clusters to the Galactic cosmic-ray population. Nature Astronomy. 8(4). 530–537. 10 indexed citations

2.

Clairfontaine, Gaëtan Fichet de, et al.. (2023). Hadronic Processes at Work in 5BZB J0630−2406. The Astrophysical Journal Letters. 958(1). L2–L2. 8 indexed citations

3.

Baghmanyan, Vardan, et al.. (2023). Investigating the nature of TeV gamma-ray variability in blazars. Proceedings Of Science. 921–921.

4.

Buson, S., et al.. (2023). Investigating high-energy neutrinos from blazars with a maximum-likelihood analysis of the IceCube observatory data. INFM-OAR (INFN Catania). 1540–1540.

5.

Baghmanyan, Vardan, D. Zargaryan, F. Aharonian, et al.. (2022). Detailed study of extended γ-ray morphology in the vicinity of the Coma cluster with Fermi Large Area Telescope. Monthly Notices of the Royal Astronomical Society. 516(1). 562–571. 15 indexed citations

6.

Zargaryan, D., Vardan Baghmanyan, F. Aharonian, et al.. (2021). High Energy Gamma-Ray Emission from the Coma Cluster Region: Deep Morphological and Spectral Studies.. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 582–582. 1 indexed citations

7.

Sahakyan, N., Vardan Baghmanyan, & D. Zargaryan. (2018). Fermi-LAT observation of nonblazar AGNs. Springer Link (Chiba Institute of Technology). 27 indexed citations

8.

Baghmanyan, Vardan, et al.. (2018). High-Energy γ -Ray Emission from PKS 0625-35. Astrophysics. 61(2). 160–170.

9.

Baghmanyan, Vardan & N. Sahakyan. (2018). X-ray and γ-ray emissions from NLSy1 galaxies. International Journal of Modern Physics D. 27(10). 1844001–1844001. 6 indexed citations

10.

Zargaryan, D., Sargis Gasparyan, Vardan Baghmanyan, & N. Sahakyan. (2017). Comparing 3C 120 jet emission at small and large scales. Springer Link (Chiba Institute of Technology). 20 indexed citations

11.

Baghmanyan, Vardan, Sargis Gasparyan, & N. Sahakyan. (2017). Rapid Gamma-Ray Variability of NGC 1275. The Astrophysical Journal. 848(2). 111–111. 20 indexed citations

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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