Manibrata Sen

1.3k total citations
35 papers, 886 citations indexed

About

Manibrata Sen is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Statistical and Nonlinear Physics. According to data from OpenAlex, Manibrata Sen has authored 35 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Nuclear and High Energy Physics, 8 papers in Astronomy and Astrophysics and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Manibrata Sen's work include Particle physics theoretical and experimental studies (33 papers), Neutrino Physics Research (29 papers) and Astrophysics and Cosmic Phenomena (21 papers). Manibrata Sen is often cited by papers focused on Particle physics theoretical and experimental studies (33 papers), Neutrino Physics Research (29 papers) and Astrophysics and Cosmic Phenomena (21 papers). Manibrata Sen collaborates with scholars based in Germany, United States and India. Manibrata Sen's co-authors include Basudeb Dasgupta, Alessandro Mirizzi, Francesco Capozzi, André de Gouvêa, Yue Zhang, G. Sigl, Alessandro Mirizzi, Walter Tangarife, Ivan Martínez-Soler and Yuber F. Perez-Gonzalez and has published in prestigious journals such as Physical Review Letters, Physics Letters B and Journal of High Energy Physics.

In The Last Decade

Manibrata Sen

35 papers receiving 879 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manibrata Sen Germany 16 870 243 35 13 8 35 886
Shashank Shalgar Denmark 18 757 0.9× 153 0.6× 26 0.7× 16 1.2× 5 0.6× 33 773
Alessandro Mirizzi Germany 19 1.1k 1.3× 212 0.9× 39 1.1× 6 0.5× 5 0.6× 26 1.1k
Silvia Pascoli United Kingdom 12 621 0.7× 265 1.1× 14 0.4× 6 0.5× 5 0.6× 20 640
Sovan Chakraborty Germany 16 848 1.0× 237 1.0× 31 0.9× 6 0.5× 34 4.3× 27 865
Marco Laveder Italy 14 955 1.1× 162 0.7× 20 0.6× 11 0.8× 10 1.3× 20 962
Valentina De Romeri Spain 17 684 0.8× 140 0.6× 30 0.9× 4 0.3× 16 2.0× 42 696
J. Franse Netherlands 4 498 0.6× 407 1.7× 35 1.0× 3 0.2× 11 1.4× 4 567
Ninetta Saviano Italy 16 704 0.8× 252 1.0× 15 0.4× 4 0.3× 10 1.3× 25 737
Dimitrios K. Papoulias Greece 19 945 1.1× 79 0.3× 56 1.6× 4 0.3× 6 0.8× 41 950
Á. Mócsy United States 7 382 0.4× 68 0.3× 37 1.1× 7 0.5× 5 0.6× 9 399

Countries citing papers authored by Manibrata Sen

Since Specialization
Citations

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

Fields of papers citing papers by Manibrata Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manibrata Sen

This figure shows the co-authorship network connecting the top 25 collaborators of Manibrata Sen. A scholar is included among the top collaborators of Manibrata Sen 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 Manibrata Sen. Manibrata Sen 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
1.
Lindner, M., T. Rink, & Manibrata Sen. (2024). Light vector bosons and the weak mixing angle in the light of future germanium-based reactor CEνNS experiments. Journal of High Energy Physics. 2024(8). 9 indexed citations
2.
Perez-Gonzalez, Yuber F., et al.. (2024). Effects of neutrino-ultralight dark matter interaction on the cosmic neutrino background. Physical review. D. 110(5). 3 indexed citations
3.
Sen, Manibrata. (2024). Supernova Neutrinos: Flavour Conversion Mechanisms and New Physics Scenarios. Universe. 10(6). 238–238. 6 indexed citations
4.
Gouvêa, André de, et al.. (2024). Solar neutrinos and ν2 visible decays to ν1. Physical review. D. 109(1). 4 indexed citations
5.
Perez-Gonzalez, Yuber F. & Manibrata Sen. (2024). From Dirac to Majorana: The cosmic neutrino background capture rate in the minimally extended Standard Model. Physical review. D. 109(2). 5 indexed citations
6.
Lindner, M., et al.. (2024). Attenuation of cosmic ray electron boosted dark matter. Physical review. D. 110(12). 4 indexed citations
7.
Rink, T. & Manibrata Sen. (2024). Constraints on pseudo-Dirac neutrinos using high-energy neutrinos from NGC 1068. Physics Letters B. 851. 138558–138558. 8 indexed citations
8.
Sen, Manibrata & Alexei Smirnov. (2024). Refractive neutrino masses, ultralight dark matter and cosmology. Journal of Cosmology and Astroparticle Physics. 2024(1). 40–40. 15 indexed citations
9.
Das, Anirban, et al.. (2024). Energy-dependent boosted dark matter from diffuse supernova neutrino background. Journal of Cosmology and Astroparticle Physics. 2024(7). 45–45. 9 indexed citations
10.
Huang, Guoyuan, et al.. (2022). Cosmology-friendly time-varying neutrino masses via the sterile neutrino portal. Physical review. D. 106(3). 25 indexed citations
11.
Chen, Yu‐Ming, Manibrata Sen, Walter Tangarife, Douglas Tuckler, & Yue Zhang. (2022). Core-collapse supernova constraint on the origin of sterile neutrino dark matter via neutrino self-interactions. Journal of Cosmology and Astroparticle Physics. 2022(11). 14–14. 8 indexed citations
12.
Martínez-Soler, Ivan, Yuber F. Perez-Gonzalez, & Manibrata Sen. (2022). Signs of pseudo-Dirac neutrinos in SN1987A data. Physical review. D. 105(9). 16 indexed citations
13.
Kelly, Kevin J., Manibrata Sen, & Yue Zhang. (2021). Intimate Relationship between Sterile Neutrino Dark Matter and ΔNeff. Physical Review Letters. 127(4). 41101–41101. 29 indexed citations
14.
Rodejohann, Werner, et al.. (2021). Sterile neutrino dark matter production in presence of non-standard neutrino self-interactions: an EFT approach. arXiv (Cornell University). 14 indexed citations
15.
Sen, Manibrata. (2021). Sterile neutrino dark matter, neutrino secret self-interactions and extra radiation. Journal of Physics Conference Series. 2156(1). 12018–12018. 2 indexed citations
16.
Capozzi, Francesco, et al.. (2020). Mu-Tau Neutrinos: Influencing Fast Flavor Conversions in Supernovae. Physical Review Letters. 125(25). 251801–251801. 56 indexed citations
17.
Kelly, Kevin J., Manibrata Sen, Walter Tangarife, & Yue Zhang. (2020). Origin of sterile neutrino dark matter via secret neutrino interactions with vector bosons. Physical review. D. 101(11). 44 indexed citations
18.
Gouvêa, André de, Ivan Martínez-Soler, Yuber F. Perez-Gonzalez, & Manibrata Sen. (2020). Fundamental physics with the diffuse supernova background neutrinos. Physical review. D. 102(12). 41 indexed citations
19.
Gouvêa, André de, Manibrata Sen, Walter Tangarife, & Yue Zhang. (2020). Dodelson-Widrow Mechanism in the Presence of Self-Interacting Neutrinos. Physical Review Letters. 124(8). 81802–81802. 61 indexed citations
20.
Capozzi, Francesco, Basudeb Dasgupta, Alessandro Mirizzi, Manibrata Sen, & G. Sigl. (2019). Collisional Triggering of Fast Flavor Conversions of Supernova Neutrinos. Physical Review Letters. 122(9). 91101–91101. 82 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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