E. Krause

20.1k total citations
52 papers, 1.3k citations indexed

About

E. Krause is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, E. Krause has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Astronomy and Astrophysics, 20 papers in Instrumentation and 9 papers in Nuclear and High Energy Physics. Recurrent topics in E. Krause's work include Galaxies: Formation, Evolution, Phenomena (45 papers), Cosmology and Gravitation Theories (29 papers) and Astronomy and Astrophysical Research (20 papers). E. Krause is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (45 papers), Cosmology and Gravitation Theories (29 papers) and Astronomy and Astrophysical Research (20 papers). E. Krause collaborates with scholars based in United States, Germany and France. E. Krause's co-authors include T. F. Eifler, Thomas J. Cox, Philip F. Hopkins, Lars Hernquist, Brant Robertson, Christopher M. Hirata, Petra Schneider, J. Blazek, Scott Dodelson and Andrew Hearin and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

E. Krause

49 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Krause United States 19 1.2k 466 278 92 68 52 1.3k
T. F. Eifler United States 22 1.2k 1.0× 431 0.9× 260 0.9× 130 1.4× 73 1.1× 47 1.2k
Brice Ménard United States 22 1.3k 1.1× 382 0.8× 312 1.1× 81 0.9× 48 0.7× 44 1.5k
J. Hartlap Germany 15 1.3k 1.1× 462 1.0× 261 0.9× 119 1.3× 89 1.3× 17 1.4k
Issha Kayo Japan 20 1.2k 0.9× 429 0.9× 194 0.7× 79 0.9× 95 1.4× 36 1.2k
Maciej Bilicki Poland 24 1.4k 1.1× 483 1.0× 392 1.4× 85 0.9× 78 1.1× 83 1.5k
Masato Shirasaki Japan 18 1.1k 0.9× 337 0.7× 381 1.4× 72 0.8× 70 1.0× 66 1.1k
Huanyuan Shan China 21 1.2k 1.0× 489 1.0× 338 1.2× 109 1.2× 60 0.9× 83 1.3k
A. Choi United Kingdom 17 991 0.8× 284 0.6× 336 1.2× 100 1.1× 39 0.6× 28 1.1k
Angus H. Wright Germany 22 1.3k 1.1× 564 1.2× 304 1.1× 108 1.2× 61 0.9× 70 1.4k
Takashi Hamana Japan 21 1.2k 1.0× 499 1.1× 268 1.0× 109 1.2× 90 1.3× 52 1.3k

Countries citing papers authored by E. Krause

Since Specialization
Citations

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

Fields of papers citing papers by E. Krause

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Krause

This figure shows the co-authorship network connecting the top 25 collaborators of E. Krause. A scholar is included among the top collaborators of E. Krause 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 E. Krause. E. Krause 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.
Miranda, Vivian, et al.. (2024). Early dark energy constraints with late-time expansion marginalization. Journal of Cosmology and Astroparticle Physics. 2024(2). 42–42. 7 indexed citations
2.
To, C., Joseph DeRose, Risa H. Wechsler, et al.. (2024). Buzzard to Cardinal: Improved Mock Catalogs for Large Galaxy Surveys. The Astrophysical Journal. 961(1). 59–59. 6 indexed citations
3.
Benabed, K., et al.. (2024). Testing the thermal Sunyaev-Zel’dovich power spectrum of a halo model using hydrodynamical simulations. Astronomy and Astrophysics. 693. A182–A182.
4.
Leauthaud, Alexie, J. Lange, E. Krause, et al.. (2024). Cluster cosmology without cluster finding. Monthly Notices of the Royal Astronomical Society. 530(4). 4203–4218. 3 indexed citations
5.
Krause, E., et al.. (2024). Modeling neutrino-induced scale-dependent galaxy clustering for photometric galaxy surveys. Journal of Cosmology and Astroparticle Physics. 2024(4). 76–76. 1 indexed citations
6.
Eifler, T. F., Vivian Miranda, Xiao Fang, et al.. (2024). Constraining baryonic physics with DES Y1 and Planck data: Combining galaxy clustering, weak lensing, and CMB lensing. Physical review. D. 110(6). 6 indexed citations
7.
Barreira, Alexandre & E. Krause. (2023). Towards optimal and robust f_nl constraints with multi-tracer analyses. Journal of Cosmology and Astroparticle Physics. 2023(10). 44–44. 18 indexed citations
8.
Fang, Xiao, E. Krause, T. F. Eifler, et al.. (2023). Cosmology from weak lensing, galaxy clustering, CMB lensing, and tSZ – I. 10 × 2pt modelling methodology. Monthly Notices of the Royal Astronomical Society. 527(4). 9581–9593. 8 indexed citations
9.
Secco, L. F., Tanvi Karwal, Wayne Hu, & E. Krause. (2023). Role of the Hubble scale in the weak lensing versus CMB tension. Physical review. D. 107(8). 9 indexed citations
10.
Krause, E., et al.. (2023). Kinematic lensing inference – I. Characterizing shape noise with simulated analyses. Monthly Notices of the Royal Astronomical Society. 524(3). 3324–3334. 2 indexed citations
11.
To, C., et al.. (2023). LINNA: Likelihood Inference Neural Network Accelerator. Journal of Cosmology and Astroparticle Physics. 2023(1). 16–16. 13 indexed citations
12.
Fang, Xiao, T. F. Eifler, Emmanuel Schaan, et al.. (2021). Cosmology from Clustering, Cosmic Shear, CMB Lensing, and Cross Correlations: Combining Rubin Observatory and Simons Observatory. arXiv (Cornell University). 15 indexed citations
13.
To, C., E. Krause, Eduardo Rozo, et al.. (2021). Combination of cluster number counts and two-point correlations: validation on mock Dark Energy Survey. Monthly Notices of the Royal Astronomical Society. 502(3). 4093–4111. 18 indexed citations
14.
Krause, E. & T. F. Eifler. (2020). CosmoLike: Cosmological Likelihood analyses. Astrophysics Source Code Library. 1 indexed citations
15.
Huff, Eric, T. F. Eifler, E. Krause, et al.. (2019). Galaxy Kinematics and the Future of Dark Energy. Bulletin of the American Astronomical Society. 51(3). 423. 1 indexed citations
16.
Chang, C., M. Wang, Scott Dodelson, et al.. (2018). A unified analysis of four cosmic shear surveys. Monthly Notices of the Royal Astronomical Society. 482(3). 3696–3717. 24 indexed citations
17.
Krause, E. & Christopher M. Hirata. (2010). Weak lensing power spectra for precision cosmology. Astronomy and Astrophysics. 523. A28–A28. 68 indexed citations
18.
Schneider, Petra, T. F. Eifler, & E. Krause. (2010). COSEBIs: Extracting the full E-/B-mode information from cosmic shear correlation functions. Astronomy and Astrophysics. 520. A116–A116. 66 indexed citations
19.
Eifler, T. F., Petra Schneider, & E. Krause. (2009). Measuring cosmic shear with the ring statistics. Astronomy and Astrophysics. 510. A7–A7. 7 indexed citations
20.
Hejnowicz, Z., et al.. (1991). Propagated fluctuations of the electric potential in the apoplasm of Lepidium sativum L. roots. Planta. 186(1). 127–34. 11 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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