Vijay Varma

43.6k total citations · 1 hit paper
55 papers, 1.3k citations indexed

About

Vijay Varma is a scholar working on Astronomy and Astrophysics, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Vijay Varma has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Astronomy and Astrophysics, 10 papers in Materials Chemistry and 9 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Vijay Varma's work include Pulsars and Gravitational Waves Research (38 papers), Astrophysical Phenomena and Observations (28 papers) and Gamma-ray bursts and supernovae (16 papers). Vijay Varma is often cited by papers focused on Pulsars and Gravitational Waves Research (38 papers), Astrophysical Phenomena and Observations (28 papers) and Gamma-ray bursts and supernovae (16 papers). Vijay Varma collaborates with scholars based in United States, Germany and India. Vijay Varma's co-authors include Harald Pfeiffer, Mark Scheel, Scott E. Field, Larry Kidder, P. Ajith, C. N. R. Rao, Davide Gerosa, Jonathan Blackman, M. Isi and S. Biscoveanu and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Chemical Physics Letters.

In The Last Decade

Vijay Varma

51 papers receiving 1.2k citations

Hit Papers

Surrogate model of hybridized numerical relativity binary... 2019 2026 2021 2023 2019 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vijay Varma United States 19 988 222 183 156 118 55 1.3k
M. Schérer United States 20 677 0.7× 46 0.2× 119 0.7× 257 1.6× 108 0.9× 47 1.3k
R. S. McWilliams United States 18 182 0.2× 161 0.7× 1.1k 5.8× 534 3.4× 68 0.6× 38 1.4k
M. A. Hidalgo Spain 21 1.1k 1.1× 37 0.2× 41 0.2× 155 1.0× 222 1.9× 88 1.6k
U. Nagel Estonia 25 169 0.2× 67 0.3× 71 0.4× 488 3.1× 864 7.3× 79 1.8k
D. A. Kniffen United States 26 1.8k 1.8× 1.6k 7.0× 85 0.5× 25 0.2× 11 0.1× 126 2.2k
Hiromitsu Ogawa Japan 21 449 0.5× 23 0.1× 38 0.2× 559 3.6× 87 0.7× 58 2.0k
C. P. McLeod United Kingdom 17 758 0.8× 131 0.6× 19 0.1× 24 0.2× 14 0.1× 47 1.0k
Robert D. Chapman United States 19 442 0.4× 34 0.2× 18 0.1× 249 1.6× 36 0.3× 101 1.1k
E. Garcı́a Spain 24 80 0.1× 41 0.2× 28 0.2× 163 1.0× 13 0.1× 90 1.6k
R. Watanabe Japan 12 120 0.1× 97 0.4× 17 0.1× 27 0.2× 8 0.1× 16 540

Countries citing papers authored by Vijay Varma

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Varma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Varma

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Varma. A scholar is included among the top collaborators of Vijay Varma 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 Vijay Varma. Vijay Varma 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.
Pfeiffer, Harald, Lorenzo Pompili, A. Ramos-Buades, et al.. (2025). Impact of eccentricity and mean anomaly in numerical relativity mergers. Classical and Quantum Gravity. 42(13). 135011–135011. 5 indexed citations
2.
Thomas, L. M., Katerina Chatziioannou, Vijay Varma, & Scott E. Field. (2025). Optimizing neural network surrogate models: Application to black hole merger remnants. Physical review. D. 111(10).
3.
Shaikh, Md Arif, Vijay Varma, A. Ramos-Buades, et al.. (2025). Defining eccentricity for spin-precessing binaries. Classical and Quantum Gravity. 42(19). 195012–195012. 2 indexed citations
4.
Stein, Leo C., Keefe Mitman, Scott E. Field, et al.. (2025). High-precision ringdown surrogate model for nonprecessing binary black holes. Physical review. D. 112(2). 4 indexed citations
5.
Siegel, Harrison, Keefe Mitman, M. Isi, et al.. (2025). Black hole spectroscopy for precessing binary black hole coalescences. Physical review. D. 111(6). 11 indexed citations
6.
Isi, M., Will M. Farr, & Vijay Varma. (2024). The Directional Isotropy of LIGO–Virgo Binaries. The Astrophysical Journal. 962(1). 19–19. 2 indexed citations
7.
Miller, Simona J., M. Isi, Katerina Chatziioannou, Vijay Varma, & Ilya Mandel. (2024). GW190521: Tracing imprints of spin-precession on the most massive black hole binary. Physical review. D. 109(2). 14 indexed citations
8.
Gadre, B. U., M. Pürrer, Scott E. Field, Serguei Ossokine, & Vijay Varma. (2024). Fully precessing higher-mode surrogate model of effective-one-body waveforms. Physical review. D. 110(12). 3 indexed citations
9.
Boyle, Michael, Keefe Mitman, Mark Scheel, et al.. (2024). Optimizing post-Newtonian parameters and fixing the BMS frame for numerical-relativity waveform hybridizations. Physical review. D. 110(10). 2 indexed citations
10.
Ma, Sizheng, Vijay Varma, Leo C. Stein, et al.. (2023). Numerical simulations of black hole-neutron star mergers in scalar-tensor gravity. Physical review. D. 107(12). 13 indexed citations
11.
Shaikh, Md Arif, Vijay Varma, Harald Pfeiffer, A. Ramos-Buades, & Maarten van de Meent. (2023). Defining eccentricity for gravitational wave astronomy. Physical review. D. 108(10). 44 indexed citations
12.
Yoo, J., Keefe Mitman, Vijay Varma, et al.. (2023). Numerical relativity surrogate model with memory effects and post-Newtonian hybridization. Physical review. D. 108(6). 27 indexed citations
13.
Walker, M., Vijay Varma, Geoffrey Lovelace, & Mark Scheel. (2023). Numerical-relativity surrogate modeling with nearly extremal black-hole spins. Classical and Quantum Gravity. 40(5). 55003–55003. 3 indexed citations
14.
Yoo, J., Vijay Varma, Matthew Giesler, et al.. (2022). Targeted large mass ratio numerical relativity surrogate waveform model for GW190814. Physical review. D. 106(4). 25 indexed citations
15.
Ma, Sizheng, Matthew Giesler, Vijay Varma, Mark Scheel, & Yanbei Chen. (2021). Universal features of gravitational waves emitted by superkick binary black hole systems. Physical review. D. 104(8). 17 indexed citations
16.
Ma, Sizheng, Matthew Giesler, Mark Scheel, & Vijay Varma. (2021). Extending superposed harmonic initial data to higher spin. Physical review. D. 103(8). 6 indexed citations
17.
Mould, Matthew, et al.. (2020). Mapping the asymptotic inspiral of precessing binary black holes to their merger remnants. Classical and Quantum Gravity. 37(22). 225005–225005. 8 indexed citations
18.
Barkett, Kevin, Yanbei Chen, Mark Scheel, & Vijay Varma. (2020). Gravitational waveforms of binary neutron star inspirals using post-Newtonian tidal splicing. Physical review. D. 102(2). 8 indexed citations
19.
Mehta, A. K., et al.. (2019). Including mode mixing in a higher-multipole model for gravitational waveforms from nonspinning black-hole binaries. Physical review. D. 100(2). 18 indexed citations
20.
Hunter, Stephen, Karen L. Abbott, Vijay Varma, et al.. (1995). Reliability of Differential PCR for the Detection of EGFR and MDM2 Gene Amplification in DNA Extracted from FFPE Glioma Tissue. Journal of Neuropathology & Experimental Neurology. 54(1). 57–64. 55 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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