Tuhin Malik

1.1k total citations · 1 hit paper
42 papers, 753 citations indexed

About

Tuhin Malik is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, Tuhin Malik has authored 42 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Astronomy and Astrophysics, 18 papers in Nuclear and High Energy Physics and 13 papers in Oceanography. Recurrent topics in Tuhin Malik's work include Pulsars and Gravitational Waves Research (38 papers), Gamma-ray bursts and supernovae (20 papers) and Geophysics and Gravity Measurements (13 papers). Tuhin Malik is often cited by papers focused on Pulsars and Gravitational Waves Research (38 papers), Gamma-ray bursts and supernovae (20 papers) and Geophysics and Gravity Measurements (13 papers). Tuhin Malik collaborates with scholars based in Portugal, India and Poland. Tuhin Malik's co-authors include Constança Providência, B. K. Agrawal, Arpan Das, Tarun Jha, A. Nayak, Márcio Ferreira, M. Fortin, Bharat Kumar, Naosad Alam and S. K. Patra and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

Tuhin Malik

39 papers receiving 712 citations

Hit Papers

GW170817: Constraining the nuclear matter equation of sta... 2018 2026 2020 2023 2018 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GW170817: Constraining the nuclear matter equation of state from the neutron star tidal deformability
    2018 198 citations Tuhin Malik, Constança Providência et al. Physical review. C profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tuhin Malik Portugal 14 691 245 174 162 161 42 753
G. Raaijmakers Netherlands 12 820 1.2× 223 0.9× 181 1.0× 222 1.4× 111 0.7× 16 865
Thomas E. Riley Netherlands 11 860 1.2× 176 0.7× 211 1.2× 274 1.7× 104 0.6× 13 916
Eemeli Annala Finland 5 1.2k 1.8× 515 2.1× 214 1.2× 395 2.4× 173 1.1× 6 1.3k
R. N. Lang United States 9 996 1.4× 315 1.3× 195 1.1× 227 1.4× 93 0.6× 11 1.1k
P. T. H. Pang Netherlands 10 476 0.7× 161 0.7× 92 0.5× 100 0.6× 56 0.3× 20 535
Brendan T. Reed United States 9 565 0.8× 281 1.1× 109 0.6× 176 1.1× 104 0.6× 14 704
R. Ciolfi Italy 19 1.4k 2.0× 349 1.4× 129 0.7× 193 1.2× 58 0.4× 35 1.4k
Yeunhwan Lim South Korea 16 418 0.6× 319 1.3× 118 0.7× 135 0.8× 104 0.6× 32 606
S. Vinciguerra United States 13 745 1.1× 89 0.4× 124 0.7× 144 0.9× 53 0.3× 23 801
M. Breschi Germany 17 781 1.1× 156 0.6× 139 0.8× 177 1.1× 36 0.2× 22 796

Countries citing papers authored by Tuhin Malik

Since Specialization
Citations

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

Fields of papers citing papers by Tuhin Malik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuhin Malik

This figure shows the co-authorship network connecting the top 25 collaborators of Tuhin Malik. A scholar is included among the top collaborators of Tuhin Malik 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 Tuhin Malik. Tuhin Malik 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.
Malik, Tuhin, et al.. (2026). Covariant Energy Density Functionals for Modeling the Equation of State of Neutron Star Matter: Cross-comparison Analysis Using CompactObject. The Astrophysical Journal Supplement Series. 282(2). 33–33.
2.
Thakur, Prashant, Tuhin Malik, Arpan Das, et al.. (2025). Feasibility study of a dark matter admixed neutron star based on recent observational constraints. Astronomy and Astrophysics. 697. A220–A220. 6 indexed citations
3.
Bougault, R., D. Gruyer, F. Gulminelli, et al.. (2025). Calibrating the Medium Effects of Light Clusters in Heavy-Ion Collisions. Physical Review Letters. 134(8). 82304–82304. 1 indexed citations
4.
Malik, Tuhin, et al.. (2025). Impact of the scalar isovector δ meson on the description of nuclear matter and neutron star properties. Physical review. C. 111(3). 3 indexed citations
5.
Kumar, Deepak, Tuhin Malik, & Hiranmaya Mishra. (2025). The footprint of nuclear saturation properties on the neutron star f mode oscillation frequencies: a machine learning approach. Journal of Cosmology and Astroparticle Physics. 2025(3). 33–33.
6.
Malik, Tuhin, et al.. (2025). Observational constraints on neutron star matter equation of state. 4. 100086–100086.
7.
Malik, Tuhin, et al.. (2025). Inferring the equation of state from neutron star observables via machine learning. Physics Letters B. 865. 139470–139470. 2 indexed citations
8.
Malik, Tuhin, Helena Pais, & Constança Providência. (2024). Unified neutron star equations of state calibrated to nuclear properties. Astronomy and Astrophysics. 689. A242–A242. 9 indexed citations
9.
Malik, Tuhin, et al.. (2024). Analysis of Neutron Star f-mode Oscillations in General Relativity with Spectral Representation of Nuclear Equations of State. The Astrophysical Journal. 968(2). 124–124. 10 indexed citations
10.
Thakur, Prashant, et al.. (2024). Towards Uncovering Dark Matter Effects on Neutron Star Properties: A Machine Learning Approach. SHILAP Revista de lepidopterología. 7(1). 80–95. 11 indexed citations
11.
12.
Malik, Tuhin, et al.. (2024). Bayesian evaluation of hadron-quark phase transition models through neutron star observables in light of nuclear and astrophysics data. Physics Letters B. 859. 139128–139128. 2 indexed citations
13.
Malik, Tuhin, et al.. (2024). Hybrid star properties with the NJL and mean field approximation of QCD models: A Bayesian approach. Physical review. D. 110(8). 7 indexed citations
14.
Malik, Tuhin, et al.. (2024). Nambu–Jona-Lasinio description of hadronic matter from a Bayesian approach. Physical review. D. 110(6). 9 indexed citations
15.
Nobleson, K., Sarmistha Banik, & Tuhin Malik. (2023). Unveiling a universal relationship between the f(R) parameter and neutron star properties. Physical review. D. 107(12). 3 indexed citations
16.
Malik, Tuhin, et al.. (2023). Realizing the potential of deep neural network for analyzing neutron star observables and dense matter equation of state. Physical review. D. 108(6). 8 indexed citations
17.
Kumar, Deepak, Tuhin Malik, Hiranmaya Mishra, & Constança Providência. (2023). Robust universal relations in neutron star asteroseismology. Physical review. D. 108(8). 4 indexed citations
18.
Ferreira, Márcio, et al.. (2023). Decoding neutron star observations: Revealing composition through Bayesian neural networks. Physical review. D. 108(4). 16 indexed citations
19.
Kumar, Deepak, Hiranmaya Mishra, & Tuhin Malik. (2023). Non-radial oscillation modes in hybrid stars: consequences of a mixed phase. Journal of Cosmology and Astroparticle Physics. 2023(2). 15–15. 13 indexed citations
20.
Malik, Tuhin & Constança Providência. (2022). Bayesian inference of signatures of hyperons inside neutron stars. Physical review. D. 106(6). 22 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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