Jonathan Blackman

39.8k total citations · 1 hit paper
16 papers, 940 citations indexed

About

Jonathan Blackman is a scholar working on Astronomy and Astrophysics, Numerical Analysis and Oceanography. According to data from OpenAlex, Jonathan Blackman has authored 16 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Astronomy and Astrophysics, 2 papers in Numerical Analysis and 2 papers in Oceanography. Recurrent topics in Jonathan Blackman's work include Pulsars and Gravitational Waves Research (13 papers), Astrophysical Phenomena and Observations (8 papers) and Gamma-ray bursts and supernovae (7 papers). Jonathan Blackman is often cited by papers focused on Pulsars and Gravitational Waves Research (13 papers), Astrophysical Phenomena and Observations (8 papers) and Gamma-ray bursts and supernovae (7 papers). Jonathan Blackman collaborates with scholars based in United States, Canada and Germany. Jonathan Blackman's co-authors include Mark Scheel, Scott E. Field, Chad R. Galley, Harald Pfeiffer, Larry Kidder, Béla Szilágyi, Daniel A. Hemberger, Vijay Varma, E. Thrane and P. D. Lasky and has published in prestigious journals such as Physical Review Letters, Journal of High Energy Physics and Physical review. D.

In The Last Decade

Jonathan Blackman

16 papers receiving 923 citations

Hit Papers

Surrogate model of hybridized numerical relativity binary... 2019 2026 2021 2023 2019 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. Surrogate model of hybridized numerical relativity binary black hole waveforms
    2019 193 citations Vijay Varma, Scott E. Field et al. Physical review. D profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Blackman United States 11 917 228 173 89 78 16 940
A. Gopakumar India 22 1.3k 1.4× 423 1.9× 173 1.0× 140 1.6× 56 0.7× 40 1.3k
R. Cotesta United States 14 1.1k 1.2× 375 1.6× 153 0.9× 83 0.9× 60 0.8× 18 1.1k
C. García-Quirós Spain 12 1.2k 1.3× 249 1.1× 259 1.5× 175 2.0× 87 1.1× 16 1.3k
M. Haney Switzerland 13 936 1.0× 182 0.8× 181 1.0× 123 1.4× 55 0.7× 21 951
R. Jaume Spain 6 820 0.9× 172 0.8× 164 0.9× 113 1.3× 58 0.7× 6 840
M. Mateu-Lucena Spain 10 813 0.9× 179 0.8× 165 1.0× 111 1.2× 56 0.7× 10 835
George Pappas Greece 16 717 0.8× 252 1.1× 89 0.5× 130 1.5× 59 0.8× 31 751
H. Estellés Spain 13 1.2k 1.3× 240 1.1× 239 1.4× 171 1.9× 84 1.1× 21 1.2k
S. Yoshida Japan 20 1.1k 1.2× 362 1.6× 135 0.8× 82 0.9× 47 0.6× 49 1.1k
M Hannam Germany 4 1.2k 1.3× 263 1.2× 197 1.1× 152 1.7× 121 1.6× 5 1.2k

Countries citing papers authored by Jonathan Blackman

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Blackman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Blackman

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Blackman. A scholar is included among the top collaborators of Jonathan Blackman 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 Jonathan Blackman. Jonathan Blackman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
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
2.
Varma, Vijay, Scott E. Field, Mark Scheel, et al.. (2019). Surrogate model of hybridized numerical relativity binary black hole waveforms. Physical review. D. 99(6). 193 indexed citations breakdown →
3.
Yang, Huan, Kent Yagi, Jonathan Blackman, et al.. (2017). Black Hole Spectroscopy with Coherent Mode Stacking. Physical Review Letters. 118(16). 161101–161101. 81 indexed citations
4.
Ott, Christian D., Ulrich Sperhake, Jonathan Blackman, et al.. (2017). Gravitational Waves from Binary Black Hole Mergers inside Stars. Physical Review Letters. 119(17). 171103–171103. 20 indexed citations
5.
Blackman, Jonathan, Scott E. Field, Mark Scheel, et al.. (2017). A Surrogate model of gravitational waveforms from numerical relativity simulations of precessing binary black hole mergers. Physical review. D. 95(10). 108 indexed citations
6.
Blackman, Jonathan, Scott E. Field, Mark Scheel, et al.. (2017). Numerical relativity waveform surrogate model for generically precessing binary black hole mergers. Physical review. D. 96(2). 140 indexed citations
7.
O’Shaughnessy, R., Jonathan Blackman, & Scott E. Field. (2017). An architecture for efficient gravitational wave parameter estimation with multimodal linear surrogate models. Classical and Quantum Gravity. 34(14). 144002–144002. 15 indexed citations
8.
Lasky, P. D., E. Thrane, Y. Levin, Jonathan Blackman, & Yanbei Chen. (2016). Detecting Gravitational-Wave Memory with LIGO: Implications of GW150914. Physical Review Letters. 117(6). 61102–61102. 131 indexed citations
9.
Scheel, Mark, Béla Szilágyi, Jonathan Blackman, et al.. (2015). Numerical relativity reaching into post-Newtonian territory: a compact-object binary simulation spanning 350 gravitational-wave cycles. Bulletin of the American Physical Society. 2015. 1 indexed citations
10.
Blackman, Jonathan, Scott E. Field, Chad R. Galley, et al.. (2015). Fast and Accurate Prediction of Numerical Relativity Waveforms from Binary Black Hole Coalescences Using Surrogate Models. Physical Review Letters. 115(12). 121102–121102. 140 indexed citations
11.
Szilágyi, Béla, Jonathan Blackman, Alessandra Buonanno, et al.. (2015). Approaching the Post-Newtonian Regime with Numerical Relativity: A Compact-Object Binary Simulation Spanning 350 Gravitational-Wave Cycles. Physical Review Letters. 115(3). 31102–31102. 50 indexed citations
12.
Blackman, Jonathan, Béla Szilágyi, Chad R. Galley, & Manuel Tiglio. (2014). Sparse Representations of Gravitational Waves from Precessing Compact Binaries. APS. 2014. 1 indexed citations
13.
Blackman, Jonathan, Béla Szilágyi, Chad R. Galley, & Manuel Tiglio. (2014). Sparse Representations of Gravitational Waves from Precessing Compact Binaries. Physical Review Letters. 113(2). 21101–21101. 16 indexed citations
14.
Blackman, Jonathan, Michael B. McDermott, & Mark Van Raamsdonk. (2011). Acceleration-induced deconfinement transitions in de Sitter spacetime. Journal of High Energy Physics. 2011(8). 6 indexed citations
15.
Cowe, Ian A., et al.. (1983). Near infrared analysis—today or tomorrow?. Analytical Proceedings. 20(2). 65–83. 3 indexed citations
16.
Blackman, Jonathan, et al.. (1981). Axisymmetric approach and landing thrust reversers. 3 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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