P. Kumar

86.8k total citations · 1 hit paper
36 papers, 1.7k citations indexed

About

P. Kumar is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Geophysics. According to data from OpenAlex, P. Kumar has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Astronomy and Astrophysics, 9 papers in Nuclear and High Energy Physics and 4 papers in Geophysics. Recurrent topics in P. Kumar's work include Pulsars and Gravitational Waves Research (28 papers), Gamma-ray bursts and supernovae (19 papers) and Astrophysical Phenomena and Observations (18 papers). P. Kumar is often cited by papers focused on Pulsars and Gravitational Waves Research (28 papers), Gamma-ray bursts and supernovae (19 papers) and Astrophysical Phenomena and Observations (18 papers). P. Kumar collaborates with scholars based in United States, India and Germany. P. Kumar's co-authors include D. M. Rust, A. Panaitescu, Harald Pfeiffer, E. A. Huerta, Mark Scheel, Béla Szilágyi, Larry Kidder, Michael Boyle, M. Pürrer and Daniel A. Hemberger and has published in prestigious journals such as The Astrophysical Journal, Physics Letters B and Physical review. D.

In The Last Decade

P. Kumar

34 papers receiving 1.6k citations

Hit Papers

Improved effective-one-body model of spinning, nonprecess... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Kumar United States 17 1.6k 292 272 146 89 36 1.7k
A. Ramos-Buades Germany 19 1.5k 0.9× 305 1.0× 292 1.1× 216 1.5× 99 1.1× 29 1.5k
Jonathan Braithwaite Germany 16 1.6k 1.0× 122 0.4× 264 1.0× 143 1.0× 73 0.8× 29 1.6k
Rossella Gamba Germany 20 896 0.5× 179 0.6× 182 0.7× 180 1.2× 34 0.4× 34 932
O. A. Hannuksela Hong Kong 19 1.0k 0.6× 280 1.0× 64 0.2× 71 0.5× 31 0.3× 37 1.1k
A. J. Stocker United Kingdom 20 883 0.5× 88 0.3× 419 1.5× 162 1.1× 16 0.2× 78 1000
Bruno P. Besser Austria 15 566 0.3× 50 0.2× 104 0.4× 63 0.4× 12 0.1× 57 624
M. Cabero United States 11 752 0.5× 203 0.7× 158 0.6× 81 0.6× 44 0.5× 14 824
M. Rheinhardt Germany 17 946 0.6× 70 0.2× 98 0.4× 117 0.8× 32 0.4× 37 1.0k
A. V. Guglielmi Russia 17 609 0.4× 60 0.2× 697 2.6× 26 0.2× 87 1.0× 110 1.1k
И. В. Чашей Russia 15 902 0.6× 108 0.4× 57 0.2× 88 0.6× 15 0.2× 146 949

Countries citing papers authored by P. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by P. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of P. Kumar. A scholar is included among the top collaborators of P. Kumar 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 P. Kumar. P. Kumar 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.
Vaidya, Bhargav, Yogesh Wadadekar, J. S. Bagla, et al.. (2025). Computational astrophysics, data science and AI/ML in astronomy: A perspective from Indian community. Journal of Astrophysics and Astronomy. 46(1).
2.
Huerta, E. A., et al.. (2024). Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers. Machine Learning Science and Technology. 5(2). 25056–25056. 4 indexed citations
3.
Ma, Sizheng, Jordan Moxon, Mark Scheel, et al.. (2024). Fully relativistic three-dimensional Cauchy-characteristic matching for physical degrees of freedom. Physical review. D. 109(12). 8 indexed citations
4.
Kumar, P. & T. Dent. (2024). Optimized search for a binary black hole merger population in LIGO-Virgo O3 data. Physical review. D. 110(4). 4 indexed citations
5.
Barack, Leor, Harald Pfeiffer, Adam Pound, et al.. (2023). Worldtube excision method for intermediate-mass-ratio inspirals: Scalar-field model in 3+1 dimensions. Physical review. D. 108(2). 4 indexed citations
6.
Kumar, P., et al.. (2023). Modeling compact binary merger waveforms beyond general relativity. Physical review. D. 107(2). 7 indexed citations
7.
O’Shea, E. & P. Kumar. (2023). Correlations in gravitational-wave reconstructions from eccentric binaries: A case study with GW151226 and GW170608. Physical review. D. 108(10). 23 indexed citations
8.
9.
Chen, Yitian, P. Kumar, Nils Deppe, et al.. (2022). Multipole moments on the common horizon in a binary-black-hole simulation. Physical review. D. 106(12). 8 indexed citations
10.
Shen, Hongyu, E. A. Huerta, E. O’Shea, P. Kumar, & Zhizhen Zhao. (2019). Statistically-informed deep learning for gravitational wave parameter estimation. arXiv (Cornell University). 22 indexed citations
11.
Kumar, P., Jonathan Blackman, Scott E. Field, et al.. (2019). Constraining the parameters of GW150914 and GW170104 with numerical relativity surrogates. Physical review. D. 99(12). 32 indexed citations
12.
Huerta, E. A., C. J. Moore, P. Kumar, et al.. (2018). Eccentric, nonspinning, inspiral, Gaussian-process merger approximant for the detection and characterization of eccentric binary black hole mergers. Physical review. D. 97(2). 108 indexed citations
13.
Kumar, P., Kevin Barkett, S. Bhagwat, et al.. (2015). Accuracy and precision of gravitational-wave models of inspiraling neutron star-black hole binaries with spin: Comparison with matter-free numerical relativity in the low-frequency regime. Physical review. D. Particles, fields, gravitation, and cosmology. 92(10). 35 indexed citations
14.
Sharma, Rajni & P. Kumar. (2014). Hall effect on thermosolutal instability in a Maxwellian viscoelastic fluid in porous medium. Archives of Mechanics. 48(1). 199–209. 1 indexed citations
15.
Huerta, E. A., P. Kumar, J. R. Gair, & Sean T. McWilliams. (2014). Self-forced evolutions of an implicit rotating source: A natural framework to model comparable and intermediate mass-ratio systems from inspiral through ringdown. Physical review. D. Particles, fields, gravitation, and cosmology. 90(2). 6 indexed citations
16.
Brown, D., P. Kumar, & A. Nitz. (2013). Template banks to search for low-mass binary black holes in advanced gravitational-wave detectors. Physical review. D. Particles, fields, gravitation, and cosmology. 87(8). 42 indexed citations
17.
Kumar, P.. (2011). Effect of Hall currents on thermal instability of compressible dusty viscoelastic fluid in porous medium. Studia Geotechnica et Mechanica. 33. 25–38. 1 indexed citations
18.
Perumal, Deepak, et al.. (2007). An Efficient Reconfigurable Image Compression Architecture. 265–269. 1 indexed citations
19.
Pian, E., P. Soffitta, A. Alessi, et al.. (2001). BeppoSAX confirmation of beamed afterglow emission from GRB 990510. Springer Link (Chiba Institute of Technology). 24 indexed citations
20.
Kumar, P., et al.. (1994). Exact stringy cosmological backgrounds. Physics Letters B. 338(2-3). 152–157. 1 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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