J. D. Emberson

529 total citations
19 papers, 370 citations indexed

About

J. D. Emberson is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, J. D. Emberson has authored 19 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 10 papers in Nuclear and High Energy Physics and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in J. D. Emberson's work include Galaxies: Formation, Evolution, Phenomena (11 papers), Cosmology and Gravitation Theories (8 papers) and Astrophysics and Cosmic Phenomena (7 papers). J. D. Emberson is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (11 papers), Cosmology and Gravitation Theories (8 papers) and Astrophysics and Cosmic Phenomena (7 papers). J. D. Emberson collaborates with scholars based in United States, Canada and United Kingdom. J. D. Emberson's co-authors include Joachim Harnois-Déraps, Ue‐Li Pen, Derek Inman, Vincent Desjacques, Ilian T. Iliev, Hugh Merz, Hao-Ran Yu, Marcelo A. Alvarez, Rajat M. Thomas and Hong-Ming Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

J. D. Emberson

18 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. D. Emberson United States 11 316 213 37 26 16 19 370
Hong-Ming Zhu Canada 13 312 1.0× 191 0.9× 41 1.1× 34 1.3× 6 0.4× 25 366
L. Knox United States 4 300 0.9× 104 0.5× 27 0.7× 30 1.2× 18 1.1× 4 320
Ulrich P. Steinwandel United States 14 407 1.3× 120 0.6× 99 2.7× 33 1.3× 21 1.3× 37 449
Oliver Zier Germany 7 314 1.0× 89 0.4× 82 2.2× 19 0.7× 15 0.9× 25 379
B. R. Granett Italy 11 422 1.3× 116 0.5× 82 2.2× 41 1.6× 10 0.6× 22 444
K. M. Huffenberger United States 13 380 1.2× 152 0.7× 57 1.5× 25 1.0× 15 0.9× 29 418
Hugh Merz Canada 4 398 1.3× 180 0.8× 76 2.1× 34 1.3× 18 1.1× 6 436
Willem Elbers United Kingdom 11 335 1.1× 158 0.7× 112 3.0× 34 1.3× 26 1.6× 19 415
Nicolás G. Busca France 11 369 1.2× 303 1.4× 76 2.1× 22 0.8× 7 0.4× 17 509
M. Ata Japan 11 233 0.7× 63 0.3× 69 1.9× 25 1.0× 16 1.0× 18 261

Countries citing papers authored by J. D. Emberson

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Emberson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. D. Emberson. 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 J. D. Emberson. The network helps show where J. D. Emberson may publish in the future.

Co-authorship network of co-authors of J. D. Emberson

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

All Works

19 of 19 papers shown
1.
Belsunce, Roger de, Solène Chabanier, Peter de B. Harrington, et al.. (2025). A Gigaparsec-scale Hydrodynamic Volume Reconstructed with Deep Learning. The Astrophysical Journal. 993(2). 243–243. 1 indexed citations
2.
Emberson, J. D., Salman Habib, Katrin Heitmann, et al.. (2025). Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability. 25–35.
3.
Kéruzoré, F., L. E. Bleem, Nicholas Frontiere, et al.. (2024). The picasso gas model: Painting intracluster gas on gravity-only simulations. SHILAP Revista de lepidopterología. 7. 3 indexed citations
4.
Arndt, Daniel, et al.. (2024). Advances in ArborX to support exascale applications. The International Journal of High Performance Computing Applications. 39(1). 167–176. 2 indexed citations
5.
Sullivan, James M., J. D. Emberson, Salman Habib, & Nicholas Frontiere. (2023). Improving initialization and evolution accuracy of cosmological neutrino simulations. Journal of Cosmology and Astroparticle Physics. 2023(6). 3–3. 6 indexed citations
6.
Frontiere, Nicholas, et al.. (2023). Simulating Hydrodynamics in Cosmology with CRK-HACC. The Astrophysical Journal Supplement Series. 264(2). 34–34. 10 indexed citations
7.
Kéruzoré, F., L. E. Bleem, J. D. Emberson, et al.. (2023). Optimization and Quality Assessment of Baryon Pasting for Intracluster Gas using the Borg Cube Simulation. SHILAP Revista de lepidopterología. 6. 1 indexed citations
8.
Liu, Xin, et al.. (2023). Numerical discreteness errors in multispecies cosmological N-body simulations. Monthly Notices of the Royal Astronomical Society. 522(3). 3631–3647. 3 indexed citations
9.
Chabanier, Solène, et al.. (2022). Modelling the Lyman-α forest with Eulerian and SPH hydrodynamical methods. Monthly Notices of the Royal Astronomical Society. 518(3). 3754–3776. 13 indexed citations
10.
Chaves-Montero, J., C. Hernández–Monteagudo, Raúl E. Angulo, & J. D. Emberson. (2020). Measuring the evolution of intergalactic gas from z = 0 to 5 using the kinematic Sunyaev–Zel’dovich effect. Monthly Notices of the Royal Astronomical Society. 503(2). 1798–1814. 14 indexed citations
11.
Cataneo, Matteo, J. D. Emberson, Derek Inman, Joachim Harnois-Déraps, & Catherine Heymans. (2019). On the road to per cent accuracy – III. Non-linear reaction of the matter power spectrum to massive neutrinos. Monthly Notices of the Royal Astronomical Society. 491(3). 3101–3107. 25 indexed citations
12.
Emberson, J. D., et al.. (2018). Exploring Visualization Techniques with HACC Simulation Data. 92–93. 1 indexed citations
13.
Inman, Derek, Hao-Ran Yu, Hong-Ming Zhu, et al.. (2017). Simulating the cold dark matter-neutrino dipole with TianNu. Physical review. D. 95(8). 23 indexed citations
14.
Yu, Hao-Ran, J. D. Emberson, Derek Inman, et al.. (2017). Differential neutrino condensation onto cosmic structure. Nature Astronomy. 1(7). 24 indexed citations
15.
Emberson, J. D., Hao-Ran Yu, Derek Inman, et al.. (2017). Cosmological neutrino simulations at extreme scale. Research in Astronomy and Astrophysics. 17(8). 85–85. 41 indexed citations
16.
Inman, Derek, J. D. Emberson, Ue‐Li Pen, et al.. (2015). Precision reconstruction of the cold dark matter-neutrino relative velocity fromN-body simulations. Physical review. D. Particles, fields, gravitation, and cosmology. 92(2). 41 indexed citations
17.
Emberson, J. D., Rajat M. Thomas, & Marcelo A. Alvarez. (2013). THE OPACITY OF THE INTERGALACTIC MEDIUM DURING REIONIZATION: RESOLVING SMALL-SCALE STRUCTURE. The Astrophysical Journal. 763(2). 146–146. 34 indexed citations
18.
Cannon, K. C., J. D. Emberson, Chad Hanna, Drew Keppel, & Harald Pfeiffer. (2013). Interpolation in waveform space: Enhancing the accuracy of gravitational waveform families using numerical relativity. Physical review. D. Particles, fields, gravitation, and cosmology. 87(4). 16 indexed citations
19.
Harnois-Déraps, Joachim, Ue‐Li Pen, Ilian T. Iliev, et al.. (2013). High-performance P3M N-body code: CUBEP3M. Monthly Notices of the Royal Astronomical Society. 436(1). 540–559. 112 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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