L Blot

1.4k total citations
8 papers, 285 citations indexed

About

L Blot is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, L Blot has authored 8 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 2 papers in Nuclear and High Energy Physics. Recurrent topics in L Blot's work include Galaxies: Formation, Evolution, Phenomena (7 papers), Cosmology and Gravitation Theories (7 papers) and Astronomy and Astrophysical Research (4 papers). L Blot is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (7 papers), Cosmology and Gravitation Theories (7 papers) and Astronomy and Astrophysical Research (4 papers). L Blot collaborates with scholars based in Spain, Germany and France. L Blot's co-authors include Kwan Chuen Chan, Pier-Stefano Corasaniti, Yann Rasera, Jean‐Michel Alimi, Joachim Stadel, C. S. Carvalho, Stefano Marelli, Aurel Schneider, H. Kurki‐Suonio and Romain Teyssier and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Physical review. D and Journal of Cosmology and Astroparticle Physics.

In The Last Decade

L Blot

8 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L Blot Spain	6	268	80	73	29	16	8	285
M. Ata Japan	11	233 0.9×	63 0.8×	69 0.9×	25 0.9×	16 1.0×	18	261
Cristiano G. Sabiu South Korea	12	307 1.1×	100 1.3×	76 1.0×	22 0.8×	21 1.3×	24	330
Jan Niklas Grieb Germany	6	329 1.2×	136 1.7×	94 1.3×	22 0.8×	11 0.7×	6	343
Alexander Eggemeier Germany	12	338 1.3×	102 1.3×	106 1.5×	32 1.1×	13 0.8×	23	365
Julian Bautista France	12	356 1.3×	89 1.1×	119 1.6×	33 1.1×	12 0.8×	25	385
Matthew D. Olmstead United States	8	414 1.5×	162 2.0×	83 1.1×	23 0.8×	9 0.6×	9	442
Fergus Simpson United Kingdom	11	213 0.8×	85 1.1×	48 0.7×	12 0.4×	15 0.9×	18	310
Rossana Ruggeri Australia	8	225 0.8×	75 0.9×	71 1.0×	22 0.8×	7 0.4×	14	244
A. Veropalumbo Italy	12	352 1.3×	107 1.3×	171 2.3×	33 1.1×	19 1.2×	22	379
Drew Jamieson United States	10	189 0.7×	74 0.9×	33 0.5×	42 1.4×	16 1.0×	27	235

Countries citing papers authored by L Blot

Since Specialization

Citations

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

Fields of papers citing papers by L Blot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L Blot

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

All Works

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8 of 8 papers shown

Blot, L, Pier-Stefano Corasaniti, & Fabian Schmidt. (2023). Non-linear Eulerian hydrodynamics of dark energy: Riemann problem and finite volume schemes. Journal of Cosmology and Astroparticle Physics. 2023(5). 1–1. 2 indexed citations

Blot, L, Pier-Stefano Corasaniti, Yann Rasera, & Shankar Agarwal. (2020). Cosmological model parameter dependence of the matter power spectrum covariance from the DEUS-PUR Cosmo simulations. Monthly Notices of the Royal Astronomical Society. 500(2). 2532–2542. 5 indexed citations

Knabenhans, Mischa, Joachim Stadel, Stefano Marelli, et al.. (2019). Euclid preparation: II. The EuclidEmulator – a tool to compute the cosmology dependence of the nonlinear matter power spectrum. Monthly Notices of the Royal Astronomical Society. 484(4). 5509–5529. 116 indexed citations

Arnold, Christian, P. Fosalba, Volker Springel, Ewald Puchwein, & L Blot. (2018). The modified gravity light-cone simulation project – I. Statistics of matter and halo distributions. Monthly Notices of the Royal Astronomical Society. 483(1). 790–805. 28 indexed citations

Chan, Kwan Chuen & L Blot. (2017). Assessment of the information content of the power spectrum and bispectrum. Physical review. D. 96(2). 59 indexed citations

Carretero, J., P. Tallada-Crespí, F. J. Castander, et al.. (2017). CosmoHub and SciPIC: Massive cosmological data analysis, distribution and generation using a Big Data platform. 488–488. 17 indexed citations

Blot, L, Pier-Stefano Corasaniti, Luca Amendola, & T. Kitching. (2016). Non-linear matter power spectrum covariance matrix errors and cosmological parameter uncertainties. Monthly Notices of the Royal Astronomical Society. 458(4). 4462–4470. 19 indexed citations

Blot, L, et al.. (2014). Matter power spectrum covariance matrix from the DEUS-PUR ΛCDM simulations: mass resolution and non-Gaussian errors. Monthly Notices of the Royal Astronomical Society. 446(2). 1756–1764. 39 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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