Benjamin Audren

1.0k citations
3 papers · 643 · 1 hit paper · h-index 3

Impact in

    • Cosmology and Gravitation Theories
    • Galaxies: Formation, Evolution, Phenomena
    • Radio Astronomy Observations and Technology
    • Dark Matter and Cosmic Phenomena
    • Black Holes and Theoretical Physics
    • Astrophysics and Cosmic Phenomena
    • Particle physics theoretical and experimental studies
    • Neutrino Physics Research

Papers in

Benjamin Audren

3 papers receiving 632 citations

Benjamin Audren's Hit Papers

Conservative constraints on early cosmology with MONTE PYTHON 2013 · 557 citations
5570+4+8Years since publication100200300400500

Peers

Benjamin Audren
Comparison fields: 5 of 27
  • Astronomy and Astrophysics 597
  • Nuclear and High Energy Physics 440
  • Instrumentation 34
  • Statistical and Nonlinear Physics 34
  • Oceanography 22
Replace Anton Chudaykin with:
Anton Chudaykin Russia
S. L. Bridle United Kingdom
T. R. Jaffe Germany
Michael W. Toomey United States
Yilun Guan United States
Simone Peirone Netherlands
Frode K. Hansen Norway
Georg Robbers Germany
Stefano Gariazzo Spain
Víctor H. Cárdenas Chile
Benjamin Audren relative to Anton Chudaykin Russia Anton Chudaykin's profile →
Citations per field
00.5×
Anton Chudaykin · 1×
Citations per year

Countries citing papers authored by Benjamin Audren

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Audren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Benjamin Audren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Audren Line = papers co-authored together Benjamin Audren links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Conservative constraints on early cosmology with MONTE PYTHON
Hit paper breakdown →
2013557
2 201381
3
Monte Python: Monte Carlo code for CLASS in Python
20135

About Benjamin Audren

Benjamin Audren is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 643 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (2 papers), Cosmology and Gravitation Theories (2 papers), Computational Physics and Python Applications (1 paper), Black Holes and Theoretical Physics (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Astronomy and Astrophysics (597 citations), Nuclear and High Energy Physics (440 citations), Instrumentation (34 citations), Statistical and Nonlinear Physics (34 citations) and Oceanography (22 citations). Benjamin Audren has collaborated with scholars based in Switzerland, France and Italy. Frequent co-authors include S. Prunet, K. Benabed, J. Lesgourgues, Julien Lesgourgues, Simeon Bird, Martin G. Haehnelt and Matteo Viel. Their work appears in journals such as Journal of Cosmology and Astroparticle Physics and Astrophysics Source Code Library.

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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