Thomas Tram

4.7k total citations · 2 hit papers
37 papers, 2.9k citations indexed

About

Thomas Tram is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Thomas Tram has authored 37 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Astronomy and Astrophysics, 26 papers in Nuclear and High Energy Physics and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Thomas Tram's work include Cosmology and Gravitation Theories (29 papers), Galaxies: Formation, Evolution, Phenomena (17 papers) and Dark Matter and Cosmic Phenomena (13 papers). Thomas Tram is often cited by papers focused on Cosmology and Gravitation Theories (29 papers), Galaxies: Formation, Evolution, Phenomena (17 papers) and Dark Matter and Cosmic Phenomena (13 papers). Thomas Tram collaborates with scholars based in Denmark, United Kingdom and Germany. Thomas Tram's co-authors include J Lesgourgues, Diego Blas, Steen Hannestad, Rasmus S.L. Hansen, Alkistis Pourtsidou, Cornelius Rampf, Shouvik Roy Choudhury, T. Hasegawa, Nagisa Hiroshima and Kazunori Kohri and has published in prestigious journals such as Physical Review Letters, Monthly Notices of the Royal Astronomical Society and Physical review. D.

In The Last Decade

Thomas Tram

36 papers receiving 2.8k citations

Hit Papers

The Cosmic Linear Anisotropy Solving System (CLASS). Part... 2011 2026 2016 2021 2011 2019 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Tram Denmark 20 2.5k 2.1k 150 137 92 37 2.9k
Guido D’Amico United States 22 1.8k 0.7× 1.4k 0.7× 193 1.3× 157 1.1× 99 1.1× 47 2.1k
Julien Lesgourgues France 32 2.7k 1.1× 2.3k 1.1× 128 0.9× 170 1.2× 83 0.9× 66 3.1k
N. Aghanim France 27 2.3k 0.9× 1.2k 0.6× 244 1.6× 126 0.9× 104 1.1× 80 2.4k
Cullan Howlett Australia 18 2.3k 0.9× 1.2k 0.6× 326 2.2× 144 1.1× 122 1.3× 51 2.4k
Fred Watson Australia 8 2.2k 0.9× 1.3k 0.6× 276 1.8× 115 0.8× 129 1.4× 19 2.2k
Olga Mena Spain 41 3.6k 1.5× 4.4k 2.2× 117 0.8× 149 1.1× 125 1.4× 151 5.3k
Mikhail M. Ivanov United States 28 2.0k 0.8× 1.0k 0.5× 285 1.9× 226 1.6× 78 0.8× 67 2.2k
J Lesgourgues Switzerland 4 1.5k 0.6× 1.1k 0.5× 116 0.8× 80 0.6× 63 0.7× 4 1.7k
Lucas Lombriser Switzerland 27 2.3k 0.9× 1.4k 0.7× 197 1.3× 121 0.9× 216 2.3× 59 2.3k
Arman Shafieloo South Korea 26 2.4k 1.0× 1.3k 0.6× 151 1.0× 137 1.0× 212 2.3× 82 2.5k

Countries citing papers authored by Thomas Tram

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Tram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Tram

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Tram. A scholar is included among the top collaborators of Thomas Tram 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 Thomas Tram. Thomas Tram 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.
Hannestad, Steen, et al.. (2025). Calculating Bayesian evidence for inflationary models using connect. Journal of Cosmology and Astroparticle Physics. 2025(3). 43–43. 1 indexed citations
2.
Hannestad, Steen, et al.. (2024). Cutting corners: hypersphere sampling as a new standard for cosmological emulators. Journal of Cosmology and Astroparticle Physics. 2024(10). 73–73.
3.
Hannestad, Steen, et al.. (2024). PROSPECT: a profile likelihood code for frequentist cosmological parameter inference. Monthly Notices of the Royal Astronomical Society. 535(4). 3686–3699. 9 indexed citations
4.
Hannestad, Steen, et al.. (2023). Fast and effortless computation of profile likelihoods using CONNECT. Journal of Cosmology and Astroparticle Physics. 2023(11). 64–64. 6 indexed citations
5.
Herold, Laura, et al.. (2023). Decaying dark matter with profile likelihoods. Physical review. D. 107(2). 14 indexed citations
6.
Hannestad, Steen, et al.. (2023). CONNECT: a neural network based framework for emulating cosmological observables and cosmological parameter inference. Journal of Cosmology and Astroparticle Physics. 2023(5). 25–25. 30 indexed citations
7.
Hannestad, Steen, et al.. (2023). Profiling cold new early dark energy. Physical review. D. 108(2). 18 indexed citations
8.
Hannestad, Steen, et al.. (2022). The cosmological simulation code CONCEPT 1.0. Monthly Notices of the Royal Astronomical Society. 513(1). 991–1014. 6 indexed citations
9.
Tram, Thomas, et al.. (2022). Decaying warm dark matter revisited. Journal of Cosmology and Astroparticle Physics. 2022(8). 44–44. 11 indexed citations
10.
Fidler, Christian, et al.. (2019). A new approach to cosmological structure formation with massive neutrinos. Journal of Cosmology and Astroparticle Physics. 2019(1). 25–25. 14 indexed citations
11.
Tram, Thomas, R. A. Vallance, & Vincent Vennin. (2017). Inflation model selection meets dark radiation. Journal of Cosmology and Astroparticle Physics. 2017(1). 46–46. 17 indexed citations
12.
Archidiacono, Maria, Steen Hannestad, Rasmus S.L. Hansen, & Thomas Tram. (2016). Sterile neutrinos with pseudoscalar self-interactions and cosmology. Physical review. D. 93(4). 19 indexed citations
13.
Tram, Thomas, et al.. (2016). The intrinsic matter bispectrum in ΛCDM. Journal of Cosmology and Astroparticle Physics. 2016(5). 58–58. 19 indexed citations
14.
Fidler, Christian, Thomas Tram, Cornelius Rampf, et al.. (2016). Relativistic interpretation of Newtonian simulations for cosmic structure formation. Journal of Cosmology and Astroparticle Physics. 2016(9). 31–31. 30 indexed citations
15.
Fidler, Christian, Cornelius Rampf, Thomas Tram, et al.. (2015). General relativistic corrections toN-body simulations and the Zel’dovich approximation. Physical review. D. Particles, fields, gravitation, and cosmology. 92(12). 49 indexed citations
16.
Hannestad, Steen, Rasmus S.L. Hansen, & Thomas Tram. (2014). How Self-Interactions can Reconcile Sterile Neutrinos with Cosmology. Physical Review Letters. 112(3). 31802–31802. 114 indexed citations
17.
Tamborra, Irene, Steen Hannestad, & Thomas Tram. (2013). Sterile Neutrinos in the Early Universe. Nuclear Physics B - Proceedings Supplements. 237-238. 256–258. 2 indexed citations
18.
Blas, Diego, Julien Lesgourgues, & Thomas Tram. (2011). CLASS: Cosmic Linear Anisotropy Solving System. ascl. 3 indexed citations
19.
Blas, Diego, J Lesgourgues, & Thomas Tram. (2011). The Cosmic Linear Anisotropy Solving System (CLASS). Part II: Approximation schemes. Journal of Cosmology and Astroparticle Physics. 2011(7). 34–34. 1402 indexed citations breakdown →
20.
Hannestad, Steen & Thomas Tram. (2011). Sommerfeld enhancement of DM annihilation: resonance structure, freeze-out and CMB spectral bound. Journal of Cosmology and Astroparticle Physics. 2011(1). 16–16. 29 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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