Parampreet Singh

10.4k total citations · 4 hit papers
132 papers, 6.7k citations indexed

About

Parampreet Singh is a scholar working on Statistical and Nonlinear Physics, Nuclear and High Energy Physics and Astronomy and Astrophysics. According to data from OpenAlex, Parampreet Singh has authored 132 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Statistical and Nonlinear Physics, 105 papers in Nuclear and High Energy Physics and 86 papers in Astronomy and Astrophysics. Recurrent topics in Parampreet Singh's work include Noncommutative and Quantum Gravity Theories (105 papers), Black Holes and Theoretical Physics (102 papers) and Cosmology and Gravitation Theories (76 papers). Parampreet Singh is often cited by papers focused on Noncommutative and Quantum Gravity Theories (105 papers), Black Holes and Theoretical Physics (102 papers) and Cosmology and Gravitation Theories (76 papers). Parampreet Singh collaborates with scholars based in United States, India and Canada. Parampreet Singh's co-authors include Abhay Ashtekar, Tomasz Pawłowski, Alejandro Corichi, Kevin Vandersloot, Javier Olmedo, M. Sami, Naresh Dadhich, Bao-Fei Li, Brajesh Gupt and Martin Bojowald and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physics Letters B.

In The Last Decade

Parampreet Singh

128 papers receiving 6.5k citations

Hit Papers

Quantum nature of the big bang: Improved dynamics 2006 2026 2012 2019 2006 2011 2006 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parampreet Singh United States 40 6.0k 5.4k 5.3k 708 328 132 6.7k
Takahiro Tanaka Japan 40 3.4k 0.6× 4.9k 0.9× 485 0.1× 449 0.6× 30 0.1× 164 5.4k
Giovanni Montani Italy 21 1.2k 0.2× 1.4k 0.3× 751 0.1× 200 0.3× 28 0.1× 191 1.9k
Jerzy Lewandowski Poland 28 4.3k 0.7× 3.3k 0.6× 3.9k 0.7× 673 1.0× 313 1.0× 109 4.8k
Thomas Thiemann Germany 33 4.0k 0.7× 2.8k 0.5× 4.1k 0.8× 702 1.0× 461 1.4× 100 4.4k
A. Marrone Italy 31 3.8k 0.6× 589 0.1× 123 0.0× 89 0.1× 171 0.5× 104 4.3k
Gennaro Miele Italy 32 3.2k 0.5× 2.3k 0.4× 266 0.1× 296 0.4× 5 0.0× 154 3.9k
Stefi A. Baum United States 46 3.5k 0.6× 6.4k 1.2× 69 0.0× 146 0.2× 27 0.1× 239 7.2k
Martin Bojowald United States 45 5.2k 0.9× 4.5k 0.8× 5.1k 1.0× 979 1.4× 272 0.8× 171 5.8k
Werner Nahm Germany 26 1.3k 0.2× 489 0.1× 1000 0.2× 306 0.4× 6 0.0× 130 2.5k
Jorge Pullin United States 33 3.2k 0.5× 3.2k 0.6× 2.2k 0.4× 765 1.1× 105 0.3× 164 4.2k

Countries citing papers authored by Parampreet Singh

Since Specialization
Citations

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

Fields of papers citing papers by Parampreet Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parampreet Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Parampreet Singh. A scholar is included among the top collaborators of Parampreet Singh 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 Parampreet Singh. Parampreet Singh 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.
Giesel, Kristina, et al.. (2025). Regular black holes and their relationship to polymerized models and mimetic gravity. Physical review. D. 111(6). 7 indexed citations
2.
Brown, Rachel E., et al.. (2025). Ekpyrosis in quantum gravitational anisotropic bouncing models. Physical review. D. 112(12).
3.
Giesel, Kristina, et al.. (2024). Embedding generalized Lemaître-Tolman-Bondi models in polymerized spherically symmetric spacetimes. Physical review. D. 110(10). 17 indexed citations
4.
Giesel, Kristina, et al.. (2024). Generalized analysis of a dust collapse in effective loop quantum gravity: Fate of shocks and covariance. Physical review. D. 110(10). 20 indexed citations
5.
Li, Bao-Fei, et al.. (2024). Constraining regularization ambiguities in loop quantum cosmology via CMB. Physical review. D. 110(6). 2 indexed citations
6.
Giesel, Kristina, Muxin Han, Bao-Fei Li, Hongguang Liu, & Parampreet Singh. (2023). Spherical symmetric gravitational collapse of a dust cloud: Polymerized dynamics in reduced phase space. Physical review. D. 107(4). 24 indexed citations
7.
Delhom, Adrià, Gonzalo J. Olmo, & Parampreet Singh. (2023). A diffeomorphism invariant family of metric-affine actions for loop cosmologies. Journal of Cosmology and Astroparticle Physics. 2023(6). 59–59. 3 indexed citations
8.
Giesel, Kristina, et al.. (2022). Consistent gauge-fixing conditions in polymerized gravitational systems. Physical review. D. 105(6). 9 indexed citations
9.
Singh, Parampreet, et al.. (2021). Role Of Dissipative Effects In The Quantum Gravitational Onset Of Warm Starobinsky Inflation In A Closed Universe. arXiv (Cornell University). 8 indexed citations
10.
Giesel, Kristina, Bao-Fei Li, & Parampreet Singh. (2020). Towards a reduced phase space quantization in loop quantum cosmology with an inflationary potential. Physical review. D. 102(12). 20 indexed citations
11.
Giesel, Kristina, Laura Herold, Bao-Fei Li, & Parampreet Singh. (2020). Mukhanov-Sasaki equation in a manifestly gauge-invariant linearized cosmological perturbation theory with dust reference fields. Physical review. D. 102(2). 19 indexed citations
12.
Liegener, Klaus & Parampreet Singh. (2019). New loop quantum cosmology modifications from gauge-covariant fluxes. Physical review. D. 100(12). 12 indexed citations
13.
Liegener, Klaus & Parampreet Singh. (2019). Some physical implications of regularization ambiguities in SU(2) gauge-invariant loop quantum cosmology. Physical review. D. 100(12). 8 indexed citations
14.
Liegener, Klaus & Parampreet Singh. (2019). Gauge invariant bounce from quantum geometry. arXiv (Cornell University). 2 indexed citations
15.
Singh, Parampreet, et al.. (2014). Kantowski-Sachs spacetime in loop quantum cosmology: geometric scalars and the viability of quantization prescriptions. arXiv (Cornell University). 3 indexed citations
16.
Singh, Parampreet, et al.. (2014). Effective dynamics of Kantowski-Sachs spacetime in loop quantum cosmology. Bulletin of the American Physical Society. 2014. 1 indexed citations
17.
Bojowald, Martin, Rituparno Goswami, Roy Maartens, & Parampreet Singh. (2005). Black Hole Mass Threshold from Nonsingular Quantum Gravitational Collapse. Physical Review Letters. 95(9). 91302–91302. 80 indexed citations
18.
Sahota, Preeti, et al.. (2005). Transcranial magnetic stimulation: Role in the evaluation of disability in multiple sclerosis. Neurology India. 53(2). 197–197. 12 indexed citations
19.
Singh, Parampreet & A. V. Toporensky. (2003). Big Crunch Avoidance in k = 1 Loop Quantum Cosmology. arXiv (Cornell University). 5 indexed citations
20.
Dadhich, Naresh, et al.. (2003). ACTION BASED APPROACH TO THE DYNAMICS OF EXTENDED BODIES IN GENERAL RELATIVITY ∗. 4 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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