Sambit K. Giri

1.9k total citations
50 papers, 969 citations indexed

About

Sambit K. Giri is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Aerospace Engineering. According to data from OpenAlex, Sambit K. Giri has authored 50 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Astronomy and Astrophysics, 33 papers in Nuclear and High Energy Physics and 17 papers in Aerospace Engineering. Recurrent topics in Sambit K. Giri's work include Radio Astronomy Observations and Technology (35 papers), Astrophysics and Cosmic Phenomena (27 papers) and Galaxies: Formation, Evolution, Phenomena (20 papers). Sambit K. Giri is often cited by papers focused on Radio Astronomy Observations and Technology (35 papers), Astrophysics and Cosmic Phenomena (27 papers) and Galaxies: Formation, Evolution, Phenomena (20 papers). Sambit K. Giri collaborates with scholars based in Sweden, Switzerland and United Kingdom. Sambit K. Giri's co-authors include Garrelt Mellema, Aurel Schneider, Raghunath Ghara, Ilian T. Iliev, Keri L. Dixon, B. Ciardi, Florent Mertens, L. V. E. Koopmans, Suman Majumdar and Saleem Zaroubi and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Sambit K. Giri

45 papers receiving 922 citations

Peers

Sambit K. Giri
Saleem Zaroubi Netherlands
Yi Mao China
A. R. Offringa Netherlands
Kyungjin Ahn South Korea
M. A. Brentjens Netherlands
J. L. Jonas South Africa
Saleem Zaroubi Netherlands
Sambit K. Giri
Citations per year, relative to Sambit K. Giri Sambit K. Giri (= 1×) peers Saleem Zaroubi

Countries citing papers authored by Sambit K. Giri

Since Specialization
Citations

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

Fields of papers citing papers by Sambit K. Giri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sambit K. Giri. 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 Sambit K. Giri. The network helps show where Sambit K. Giri may publish in the future.

Co-authorship network of co-authors of Sambit K. Giri

This figure shows the co-authorship network connecting the top 25 collaborators of Sambit K. Giri. A scholar is included among the top collaborators of Sambit K. Giri 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 Sambit K. Giri. Sambit K. Giri 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.
Offringa, A. R., Florent Mertens, L. V. E. Koopmans, et al.. (2025). First upper limits on the 21-cm signal power spectrum of neutral hydrogen at z = 9.16 from the LOFAR 3C 196 field. Monthly Notices of the Royal Astronomical Society. 544(1). 1255–1283. 1 indexed citations
2.
Koopmans, L. V. E., Florent Mertens, Yichao Li, et al.. (2025). Extracting the Epoch of Reionization Signal with 3D U-Net Neural Networks Using a Data-driven Systematic Effect Model. The Astrophysical Journal. 988(1). 84–84.
3.
Smith, Aaron, et al.. (2025). Lyman-α feedback prevails at Cosmic Dawn: implications for the first galaxies, stars, and star clusters. Monthly Notices of the Royal Astronomical Society. 537(2). 1646–1687. 7 indexed citations
4.
Giri, Sambit K., et al.. (2024). pyC 2 Ray: A flexible and GPU-accelerated radiative transfer framework for simulating the cosmic epoch of reionization. Astronomy and Computing. 48. 100861–100861. 6 indexed citations
5.
Schneider, Aurel, et al.. (2024). Constraining hot dark matter sub-species with weak lensing and the cosmic microwave background radiation. Astronomy and Astrophysics. 687. A161–A161. 3 indexed citations
6.
Dayal, Pratika & Sambit K. Giri. (2024). Warm dark matter constraints from the JWST. Monthly Notices of the Royal Astronomical Society. 528(2). 2784–2789. 14 indexed citations
7.
Giri, Sambit K., Tianyue Chen, Florent Mertens, et al.. (2024). Deep learning approach for identification of H ii regions during reionization in 21-cm observations – II. Foreground contamination. Monthly Notices of the Royal Astronomical Society. 528(3). 5212–5230. 13 indexed citations
8.
Mellema, Garrelt, et al.. (2024). The forest at EndEoR: the effect of Lyman limit systems on the end of reionization. Monthly Notices of the Royal Astronomical Society. 536(4). 3689–3706. 1 indexed citations
9.
Giri, Sambit K., et al.. (2023). Starbursts in low-mass haloes at Cosmic Dawn. I. The critical halo mass for star formation. Monthly Notices of the Royal Astronomical Society. 524(2). 2290–2311. 22 indexed citations
10.
Bucko, Jozef, Sambit K. Giri, & Aurel Schneider. (2023). Constraining dark matter decay with cosmic microwave background and weak-lensing shear observations. Astronomy and Astrophysics. 672. A157–A157. 9 indexed citations
11.
Mertens, Florent, B. Ciardi, Raghunath Ghara, et al.. (2023). 21-cm signal from the Epoch of Reionization: a machine learning upgrade to foreground removal with Gaussian process regression. Monthly Notices of the Royal Astronomical Society. 527(3). 7835–7846. 7 indexed citations
12.
Schneider, Aurel, et al.. (2023). Cosmological forecast of the 21-cm power spectrum with the halo model of reionization. Physical review. D. 108(4). 14 indexed citations
13.
Giri, Sambit K., et al.. (2023). beorn: a fast and flexible framework to simulate the epoch of reionization and cosmic dawn. Monthly Notices of the Royal Astronomical Society. 526(2). 2942–2959. 16 indexed citations
14.
Giri, Sambit K., et al.. (2022). Suppressing variance in 21 cm signal simulations during reionization. Astronomy and Astrophysics. 669. A6–A6. 9 indexed citations
15.
Gehlot, B. K., L. V. E. Koopmans, A. R. Offringa, et al.. (2022). Degree-scale galactic radio emission at 122 MHz around the North Celestial Pole with LOFAR-AARTFAAC. Astronomy and Astrophysics. 662. A97–A97. 6 indexed citations
16.
Giri, Sambit K. & Garrelt Mellema. (2021). Measuring the topology of reionization with Betti numbers. Monthly Notices of the Royal Astronomical Society. 505(2). 1863–1877. 35 indexed citations
17.
Ghara, Raghunath, Sambit K. Giri, B. Ciardi, Garrelt Mellema, & Saleem Zaroubi. (2021). Constraining the state of the intergalactic medium during the Epoch of Reionization using MWA 21-cm signal observations. Monthly Notices of the Royal Astronomical Society. 503(3). 4551–4562. 45 indexed citations
18.
Giri, Sambit K., et al.. (2019). Identifying reionization-epoch galaxies with extreme levels of Lyman continuum leakage in James Webb Space Telescope surveys. Monthly Notices of the Royal Astronomical Society. 491(4). 5277–5286. 5 indexed citations
19.
Watkinson, Catherine A, Sambit K. Giri, Keri L. Dixon, et al.. (2018). The 21-cm bispectrum as a probe of non-Gaussianities due to X-ray heating. Monthly Notices of the Royal Astronomical Society. 482(2). 2653–2669. 46 indexed citations
20.
Giri, Sambit K., et al.. (2017). Constraining Lyman continuum escape using Machine Learning. Proceedings of the International Astronomical Union. 12(S333). 254–258.

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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