M. Bejger

83.1k total citations · 1 hit paper
63 papers, 1.5k citations indexed

About

M. Bejger is a scholar working on Astronomy and Astrophysics, Geophysics and Oceanography. According to data from OpenAlex, M. Bejger has authored 63 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Astronomy and Astrophysics, 23 papers in Geophysics and 18 papers in Oceanography. Recurrent topics in M. Bejger's work include Pulsars and Gravitational Waves Research (60 papers), Gamma-ray bursts and supernovae (37 papers) and High-pressure geophysics and materials (21 papers). M. Bejger is often cited by papers focused on Pulsars and Gravitational Waves Research (60 papers), Gamma-ray bursts and supernovae (37 papers) and High-pressure geophysics and materials (21 papers). M. Bejger collaborates with scholars based in Poland, France and Italy. M. Bejger's co-authors include P. Haensel, J. L. Zdunik, M. Fortin, M. A. Abramowicz, Constança Providência, Ad. R. Raduta, F. Gulminelli, R. Mańka, F. Morawski and T. Bulik and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

M. Bejger

61 papers receiving 1.4k citations

Hit Papers

Neutron star radii and crusts: Uncertainties and unified ... 2016 2026 2019 2022 2016 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Bejger Poland 20 1.4k 492 377 287 151 63 1.5k
John Sarkissian Australia 17 2.1k 1.4× 334 0.7× 505 1.3× 438 1.5× 210 1.4× 49 2.1k
G. H. Janssen Netherlands 24 2.2k 1.5× 388 0.8× 627 1.7× 437 1.5× 187 1.2× 49 2.3k
I. Cognard France 26 1.7k 1.2× 280 0.6× 494 1.3× 313 1.1× 176 1.2× 99 1.8k
B. D. Lackey United States 13 2.0k 1.4× 616 1.3× 394 1.0× 525 1.8× 186 1.2× 17 2.1k
C.‐J. Haster United States 24 1.8k 1.3× 295 0.6× 271 0.7× 237 0.8× 83 0.5× 39 1.9k
Shubhanshu Tiwari Switzerland 15 1.5k 1.1× 291 0.6× 319 0.8× 180 0.6× 101 0.7× 31 1.6k
A. Jessner Germany 22 1.5k 1.1× 245 0.5× 468 1.2× 288 1.0× 182 1.2× 63 1.6k
C. M. Espinoza Chile 17 1.3k 0.9× 487 1.0× 263 0.7× 451 1.6× 221 1.5× 38 1.3k
J. Read United States 15 2.5k 1.7× 648 1.3× 612 1.6× 559 1.9× 229 1.5× 22 2.6k
P. Ajith India 23 2.1k 1.5× 345 0.7× 419 1.1× 254 0.9× 78 0.5× 48 2.1k

Countries citing papers authored by M. Bejger

Since Specialization
Citations

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

Fields of papers citing papers by M. Bejger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Bejger

This figure shows the co-authorship network connecting the top 25 collaborators of M. Bejger. A scholar is included among the top collaborators of M. Bejger 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. Bejger. M. Bejger 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
2.
Bejger, M., et al.. (2025). Explainable autoencoder for neutron star dense matter parameter estimation. Machine Learning Science and Technology. 6(2). 25044–25044. 1 indexed citations
3.
Trovato, A., E. Chassande‐Mottin, M. Bejger, Rémi Flamary, & Nicolas Courty. (2024). Neural network time-series classifiers for gravitational-wave searches in single-detector periods. Classical and Quantum Gravity. 41(12). 125003–125003. 4 indexed citations
4.
Coelho, Jaziel G., Rafael C. Nunes, Manuel Castro, et al.. (2024). Evidence for 3XMM J185246.6+003317 as a massive magnetar with a low magnetic field. Journal of High Energy Astrophysics. 42. 52–62. 4 indexed citations
5.
Haskell, B. & M. Bejger. (2023). Astrophysics with continuous gravitational waves. Nature Astronomy. 7(10). 1160–1170. 9 indexed citations
6.
Bacon, P., A. Trovato, & M. Bejger. (2023). Denoising gravitational-wave signals from binary black holes with a dilated convolutional autoencoder. Machine Learning Science and Technology. 4(3). 35024–35024. 14 indexed citations
7.
Bejger, M., et al.. (2023). Crustal Failure as a Tool to Probe Hybrid Stars. The Astrophysical Journal. 950(2). 185–185. 4 indexed citations
8.
Ho, Wynn C. G., L. Kuiper, C. M. Espinoza, et al.. (2022). Timing Six Energetic Rotation-powered X-Ray Pulsars, Including the Fast-spinning Young PSR J0058-7218 and Big Glitcher PSR J0537-6910. The Astrophysical Journal. 939(1). 7–7. 13 indexed citations
9.
Cieślar, M., T. Bulik, M. Curyło, et al.. (2021). Detectability of continuous gravitational waves from isolated neutron stars in the Milky Way. Springer Link (Chiba Institute of Technology). 13 indexed citations
10.
Ho, Wynn C. G., C. M. Espinoza, Zaven Arzoumanian, et al.. (2020). Return of the Big Glitcher: NICER timing and glitches of PSR J0537−6910. Monthly Notices of the Royal Astronomical Society. 498(4). 4605–4614. 24 indexed citations
11.
Ho, Wynn C. G., Sébastien Guillot, P. M. Saz Parkinson, et al.. (2020). Proper motion, spectra, and timing of PSR J1813–1749 using Chandra and NICER. Monthly Notices of the Royal Astronomical Society. 498(3). 4396–4403. 7 indexed citations
12.
Czerny, B., Rachael L. Beaton, M. Bejger, et al.. (2018). Astronomical Distance Determination in the Space Age. Space Science Reviews. 214(1). 18 indexed citations
13.
Abramowicz, M. A. & M. Bejger. (2017). Fast radio bursts explained. arXiv (Cornell University). 1 indexed citations
14.
Fortin, M., J. L. Zdunik, P. Haensel, & M. Bejger. (2015). Neutron stars with hyperon cores: stellar radii and equation of state near nuclear density. Springer Link (Chiba Institute of Technology). 29 indexed citations
15.
Bejger, M.. (2013). Parameters of rotating neutron stars with and without hyperons. Springer Link (Chiba Institute of Technology). 9 indexed citations
16.
Bejger, M., et al.. (2012). Collisional Penrose Process near the Horizon of Extreme Kerr Black Holes. Physical Review Letters. 109(12). 121101–121101. 83 indexed citations
17.
Bejger, M., M. Fortin, P. Haensel, & J. L. Zdunik. (2011). Implications of the measured parameters of PSR J1903+0327 for its progenitor neutron star. Springer Link (Chiba Institute of Technology). 10 indexed citations
18.
Zdunik, J. L., M. Bejger, P. Haensel, & Éric Gourgoulhon. (2007). Energy release associated with a first-order phase transition in a rotatingneutron star core. Springer Link (Chiba Institute of Technology). 6 indexed citations
19.
Zdunik, J. L., M. Bejger, P. Haensel, & Éric Gourgoulhon. (2006). Phase transitions in rotating neutron stars cores: back bending,stability, corequakes, and pulsar timing. Springer Link (Chiba Institute of Technology). 23 indexed citations
20.
Bejger, M., D. Rosińska, Éric Gourgoulhon, et al.. (2005). Impact of the nuclear equation of state on the last orbits of binary neutron stars. Springer Link (Chiba Institute of Technology). 27 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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