Sajad Abbar

1.1k total citations
26 papers, 838 citations indexed

About

Sajad Abbar is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Sajad Abbar has authored 26 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Nuclear and High Energy Physics, 8 papers in Astronomy and Astrophysics and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Sajad Abbar's work include Neutrino Physics Research (25 papers), Astrophysics and Cosmic Phenomena (24 papers) and Particle physics theoretical and experimental studies (17 papers). Sajad Abbar is often cited by papers focused on Neutrino Physics Research (25 papers), Astrophysics and Cosmic Phenomena (24 papers) and Particle physics theoretical and experimental studies (17 papers). Sajad Abbar collaborates with scholars based in Germany, United States and France. Sajad Abbar's co-authors include Huaiyu Duan, Maria Cristina Volpe, Hans‐Thomas Janka, Francesco Capozzi, Irene Tamborra, Tomoya Takiwaki, Kohsuke Sumiyoshi, Georg G. Raffelt, Zewei Xiong and Meng-Ru Wu and has published in prestigious journals such as Physical Review Letters, Physics Letters B and Physical review. D.

In The Last Decade

Sajad Abbar

26 papers receiving 828 citations

Peers

Sajad Abbar

NHEP

AMPO

GEOPH

Manibrata Sen Germany

Manu George Taiwan

Silvia Pascoli United Kingdom

Ninetta Saviano Italy

Ignacio Izaguirre Germany

Péter Petreczky United States

Álvaro Hernández-Cabezudo Spain

Silvia Manconi Italy

Christopher Dessert United States

М. И. Правдин Russia

Manibrata Sen Germany

Sajad Abbar

870 ×1.1

NHEP

243 ×0.9

35 ×1.7

AMPO

13 ×0.7

0 ×0.0

GEOPH

Citations per year, relative to Sajad Abbar Sajad Abbar (= 1×) peers Manibrata Sen

Countries citing papers authored by Sajad Abbar

Since Specialization

Citations

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

Fields of papers citing papers by Sajad Abbar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sajad Abbar

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

All Works

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20 of 20 papers shown

Abbar, Sajad & Maria Cristina Volpe. (2025). Using Bayesian inference to distinguish neutrino flavor conversion scenarios via a prospective supernova neutrino signal. Physical review. D. 111(8). 3 indexed citations

Abbar, Sajad, Akira Harada, & Hiroki Nagakura. (2025). Machine learning-based detection of nonaxisymmetric fast neutrino flavor instabilities in core-collapse supernovae. Physical review. D. 111(6). 2 indexed citations

Abbar, Sajad, et al.. (2025). Flavor equilibration of supernova neutrinos: Exploring the dynamics of slow modes. Physical review. D. 112(4). 5 indexed citations

Abbar, Sajad & Hiroki Nagakura. (2024). Detecting fast neutrino flavor conversions with machine learning. Physical review. D. 109(2). 14 indexed citations

Abbar, Sajad, Meng-Ru Wu, & Zewei Xiong. (2024). Physics-informed neural networks for predicting the asymptotic outcome of fast neutrino flavor conversions. Physical review. D. 109(4). 19 indexed citations

Abbar, Sajad, et al.. (2024). Oscillations of high-energy cosmic neutrinos in the copious MeV neutrino background. Physical review. D. 109(2). 1 indexed citations

Abbar, Sajad, Meng-Ru Wu, & Zewei Xiong. (2024). Application of neural networks for the reconstruction of supernova neutrino energy spectra following fast neutrino flavor conversions. Physical review. D. 109(8). 14 indexed citations

Abbar, Sajad, et al.. (2023). Fast Neutrino Flavor Conversions Can Help and Hinder Neutrino-Driven Explosions. Physical Review Letters. 131(6). 61401–61401. 61 indexed citations

Abbar, Sajad. (2023). Applications of machine learning to detecting fast neutrino flavor instabilities in core-collapse supernova and neutron star merger models. Physical review. D. 107(10). 15 indexed citations

10.

Abbar, Sajad, et al.. (2023). Fast neutrino flavor conversion in core-collapse supernovae: A parametric study in 1D models. Physical review. D. 107(10). 66 indexed citations

11.

Abbar, Sajad. (2023). Nonstandard neutrino self-interactions can cause neutrino flavor equipartition inside the supernova core. Physical review. D. 107(10). 1 indexed citations

12.

Xiong, Zewei, et al.. (2023). Evaluating approximate asymptotic distributions for fast neutrino flavor conversions in a periodic 1D box. Physical review. D. 108(6). 43 indexed citations

13.

Abbar, Sajad, et al.. (2021). On the characteristics of fast neutrino flavor instabilities in three-dimensional core-collapse supernova models. Physical review. D. 103(6). 65 indexed citations

14.

Abbar, Sajad. (2021). Turbulence fingerprint on collective oscillations of supernova neutrinos. Physical review. D. 103(4). 11 indexed citations

15.

Abbar, Sajad, Huaiyu Duan, Kohsuke Sumiyoshi, Tomoya Takiwaki, & Maria Cristina Volpe. (2020). Fast neutrino flavor conversion modes in multidimensional core-collapse supernova models: The role of the asymmetric neutrino distributions. Physical review. D. 101(4). 74 indexed citations

16.

Martin, Joshua D., Sajad Abbar, & Huaiyu Duan. (2019). Nonlinear flavor development of a two-dimensional neutrino gas. Physical review. D. 100(2). 22 indexed citations

17.

Abbar, Sajad & Maria Cristina Volpe. (2019). On fast neutrino flavor conversion modes in the nonlinear regime. Physics Letters B. 790. 545–550. 60 indexed citations

18.

Abbar, Sajad & Huaiyu Duan. (2018). Fast neutrino flavor conversion: Roles of dense matter and spectrum crossing. Physical review. D. 98(4). 70 indexed citations

19.

Abbar, Sajad, J. Carlson, Huaiyu Duan, & Sanjay Reddy. (2015). Quantum Monte Carlo calculations of the thermal conductivity of neutron star crusts. Physical Review C. 92(4). 3 indexed citations

20.

Abbar, Sajad & Huaiyu Duan. (2015). Neutrino flavor instabilities in a time-dependent supernova model. Physics Letters B. 751. 43–47. 50 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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