Projjwal Banerjee

607 total citations
23 papers, 385 citations indexed

About

Projjwal Banerjee is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Projjwal Banerjee has authored 23 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Astronomy and Astrophysics, 11 papers in Nuclear and High Energy Physics and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Projjwal Banerjee's work include Gamma-ray bursts and supernovae (13 papers), Stellar, planetary, and galactic studies (8 papers) and Nuclear physics research studies (7 papers). Projjwal Banerjee is often cited by papers focused on Gamma-ray bursts and supernovae (13 papers), Stellar, planetary, and galactic studies (8 papers) and Nuclear physics research studies (7 papers). Projjwal Banerjee collaborates with scholars based in India, Australia and United States. Projjwal Banerjee's co-authors include Alexander Heger, Yong-Zhong Qian, Bernhard Müller, W. C. Haxton, Conrad Chan, J. Powell, Thomas M. Tauris, N. Langer, Meng-Ru Wu and M. Obergaulinger and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Projjwal Banerjee

18 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Projjwal Banerjee India 10 340 202 26 12 10 23 385
Edmund Hodges‐Kluck United States 14 439 1.3× 158 0.8× 51 2.0× 7 0.6× 15 1.5× 36 460
D. Argast Switzerland 6 400 1.2× 140 0.7× 68 2.6× 9 0.8× 11 1.1× 9 436
J. Parrent United States 16 867 2.5× 263 1.3× 44 1.7× 5 0.4× 3 0.3× 32 874
Tracey DeLaney United States 12 512 1.5× 349 1.7× 17 0.7× 5 0.4× 13 1.3× 21 532
R. C. Thomas United States 11 544 1.6× 178 0.9× 22 0.8× 9 0.8× 6 0.6× 14 558
Laura A. Lopez United States 15 733 2.2× 321 1.6× 49 1.9× 4 0.3× 9 0.9× 35 742
R. Voss Netherlands 17 778 2.3× 213 1.1× 46 1.8× 8 0.7× 13 1.3× 34 791
Daniel Castro United States 13 470 1.4× 351 1.7× 13 0.5× 7 0.6× 4 0.4× 28 508
M. Salaris Italy 4 251 0.7× 109 0.5× 78 3.0× 33 2.8× 18 1.8× 13 290
Erika M. Holmbeck United States 11 195 0.6× 84 0.4× 57 2.2× 11 0.9× 18 1.8× 28 243

Countries citing papers authored by Projjwal Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Projjwal Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Projjwal Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Projjwal Banerjee. A scholar is included among the top collaborators of Projjwal Banerjee 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 Projjwal Banerjee. Projjwal Banerjee 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.
Banerjee, Projjwal, et al.. (2025). Origin of α-poor Very Metal-poor Stars. The Astrophysical Journal. 981(1). 55–55.
2.
Banerjee, Projjwal, et al.. (2024). Can Supernovae from Runaway Stars Mimic the Signs of Absorbing “Supervirial” Gas?. The Astrophysical Journal. 975(1). 26–26. 1 indexed citations
3.
Banerjee, Projjwal, et al.. (2024). SDSS J0018-0939: A Clear Signature of Sub-Chandrasekhar Mass Type 1a Supernova. The Astrophysical Journal. 975(1). 108–108. 1 indexed citations
4.
Banerjee, Projjwal, et al.. (2024). Origin of LAMOST J1010+2358 Revisited. SHILAP Revista de lepidopterología. 7. 2 indexed citations
5.
Yuan, Zhen, Tadafumi Matsuno, L. Mashonkina, et al.. (2024). HR-GO. Astronomy and Astrophysics. 690. A331–A331. 1 indexed citations
6.
Sitnova, T., Tadafumi Matsuno, Zhen Yuan, et al.. (2023). The Pristine survey – XXII. A serendipitous discovery of an extremely Li-rich very metal-poor giant and a new method of 6Li/7Li isotope measurement. Monthly Notices of the Royal Astronomical Society. 526(4). 5976–5986. 2 indexed citations
7.
Banerjee, Projjwal, et al.. (2023). Rapidly rotating massive Population III stars: a solution for high carbon enrichment in CEMP-no stars. Monthly Notices of the Royal Astronomical Society. 526(3). 4467–4483. 13 indexed citations
8.
Banerjee, Projjwal, et al.. (2022). Constraints on r-process nucleosynthesis from 129I and 247Cm in the early Solar system. Monthly Notices of the Royal Astronomical Society. 512(4). 4948–4960. 2 indexed citations
9.
Wu, Meng-Ru & Projjwal Banerjee. (2022). The production of actinides in neutron star mergers. SHILAP Revista de lepidopterología. 32(1). 4 indexed citations
10.
Diehl, R., Maria Lugaro, Alexander Heger, et al.. (2021). The radioactive nuclei and in the Cosmos and in the solar system. Publications of the Astronomical Society of Australia. 38. 31 indexed citations
11.
Müller, Bernhard, et al.. (2020). The chemical signature of jet-driven hypernovae. Monthly Notices of the Royal Astronomical Society. 501(2). 2764–2781. 24 indexed citations
12.
Banerjee, Projjwal, Alexander Heger, & Yong-Zhong Qian. (2019). New s-process Mechanism in Rapidly Rotating Massive Population II Stars. The Astrophysical Journal. 887(2). 187–187. 22 indexed citations
13.
Müller, Bernhard, Thomas M. Tauris, Alexander Heger, et al.. (2019). Three-dimensional simulations of neutrino-driven core-collapse supernovae from low-mass single and binary star progenitors. Monthly Notices of the Royal Astronomical Society. 484(3). 3307–3324. 145 indexed citations
14.
Banerjee, Projjwal, Yong-Zhong Qian, & Alexander Heger. (2018). s-Process in Massive Carbon-Enhanced Metal-Poor Stars. Monthly Notices of the Royal Astronomical Society. 5 indexed citations
15.
Banerjee, Projjwal, et al.. (2017). An optical catalog of galaxy clusters obtained from an adaptive matched filter finder applied to SDSS DR9 data. New Astronomy. 58. 61–71. 19 indexed citations
16.
Banerjee, Projjwal, Yong Qian, Alexander Heger, & W. C. Haxton. (2016). Neutrino-Induced Nucleosynthesis in Helium Shells of Early Core-Collapse Supernovae. Springer Link (Chiba Institute of Technology). 6 indexed citations
17.
Banerjee, Projjwal, Yong-Zhong Qian, Alexander Heger, & W. C. Haxton. (2016). Evidence from stable isotopes and 10Be for solar system formation triggered by a low-mass supernova. Nature Communications. 7(1). 13639–13639. 29 indexed citations
18.
Banerjee, Projjwal, et al.. (2013). New Primary Mechanisms for the Synthesis of RareBe9in Early Supernovae. Physical Review Letters. 110(14). 141101–141101. 8 indexed citations
19.
Banerjee, Projjwal, W. C. Haxton, & Yong-Zhong Qian. (2011). Long, Cold, EarlyrProcess? Neutrino-Induced Nucleosynthesis in He Shells Revisited. Physical Review Letters. 106(20). 201104–201104. 33 indexed citations
20.
Banerjee, Projjwal, et al.. (1960). β-崩壊Pb 210 →Bi 210 →Po 210 によるRaEにおける配位混合の決定. 159(2). 170–177. 3 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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