K. Paech

26.5k total citations
22 papers, 401 citations indexed

About

K. Paech is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, K. Paech has authored 22 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 10 papers in Nuclear and High Energy Physics and 5 papers in Instrumentation. Recurrent topics in K. Paech's work include Galaxies: Formation, Evolution, Phenomena (9 papers), High-Energy Particle Collisions Research (7 papers) and Gamma-ray bursts and supernovae (7 papers). K. Paech is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (9 papers), High-Energy Particle Collisions Research (7 papers) and Gamma-ray bursts and supernovae (7 papers). K. Paech collaborates with scholars based in Germany, United States and France. K. Paech's co-authors include Scott Pratt, Adrian Dumitru, H. Stöcker, B. Hoyle, Markus Michael Rau, S. Seitz, J. Weller, Marcus Bleicher, E.L. Bratkovskaya and al et and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Physics Letters B and Astronomy and Astrophysics.

In The Last Decade

K. Paech

22 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Paech Germany 11 247 198 50 24 16 22 401
K. M. Huffenberger United States 13 152 0.6× 380 1.9× 57 1.1× 15 0.6× 16 1.0× 29 418
Pauli Pihajoki Finland 12 156 0.6× 378 1.9× 66 1.3× 7 0.3× 23 1.4× 18 432
S. V. White South Africa 14 260 1.1× 522 2.6× 123 2.5× 24 1.0× 15 0.9× 29 561
Willem Elbers United Kingdom 11 158 0.6× 335 1.7× 112 2.2× 26 1.1× 7 0.4× 19 415
Andrea Petri United States 10 180 0.7× 491 2.5× 101 2.0× 49 2.0× 24 1.5× 15 534
Fergus Simpson United Kingdom 11 85 0.3× 213 1.1× 48 1.0× 15 0.6× 4 0.3× 18 310
Hugh Merz Canada 4 180 0.7× 398 2.0× 76 1.5× 18 0.8× 7 0.4× 6 436
Janis Fluri Switzerland 9 89 0.4× 288 1.5× 51 1.0× 62 2.6× 22 1.4× 13 346
T. M. C. Abbott Chile 2 101 0.4× 414 2.1× 144 2.9× 17 0.7× 34 2.1× 2 464
Zhongxu Zhai China 13 158 0.6× 439 2.2× 146 2.9× 23 1.0× 27 1.7× 30 491

Countries citing papers authored by K. Paech

Since Specialization
Citations

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

Fields of papers citing papers by K. Paech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Paech

This figure shows the co-authorship network connecting the top 25 collaborators of K. Paech. A scholar is included among the top collaborators of K. Paech 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 K. Paech. K. Paech 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.
Paech, K., Nico Hamaus, B. Hoyle, et al.. (2017). Cross-correlation of galaxies and galaxy clusters in the Sloan Digital Sky Survey and the importance of non-Poissonian shot noise. Monthly Notices of the Royal Astronomical Society. 470(3). 2566–2577. 19 indexed citations
2.
Rau, Markus Michael, B. Hoyle, K. Paech, & S. Seitz. (2016). Correcting cosmological parameter biases for all redshift surveys induced by estimating and reweighting redshift distributions. Monthly Notices of the Royal Astronomical Society. 466(3). 2927–2938. 6 indexed citations
3.
Hoyle, B., et al.. (2016). Stacking for machine learning redshifts applied to SDSS galaxies. Monthly Notices of the Royal Astronomical Society. 460(3). 3152–3162. 16 indexed citations
4.
Hoyle, B., K. Paech, Markus Michael Rau, S. Seitz, & J. Weller. (2016). Tuning target selection algorithms to improve galaxy redshift estimates. Monthly Notices of the Royal Astronomical Society. 458(4). 4498–4511. 5 indexed citations
5.
Lin, Lihwai, C. Hennig, S. Desai, et al.. (2015). Optical confirmation and redshift estimation of the Planck cluster candidates overlapping the Pan-STARRS Survey. Monthly Notices of the Royal Astronomical Society. 449(4). 3370–3380. 11 indexed citations
6.
Hoyle, B., Markus Michael Rau, K. Paech, et al.. (2015). Anomaly detection for machine learning redshifts applied to SDSS galaxies. Monthly Notices of the Royal Astronomical Society. 452(4). 4183–4194. 44 indexed citations
7.
Feindt, U., M. Kowalski, & K. Paech. (2012). The self-calibrating Hubble diagram. Journal of Cosmology and Astroparticle Physics. 2012(4). 1–1. 1 indexed citations
8.
Mörtsell, Edvard, A. Goobar, R. Amanullah, et al.. (2011). Near-IR search for lensed supernovae behind galaxy clusters. Astronomy and Astrophysics. 536. A94–A94. 5 indexed citations
9.
Mörtsell, Edvard, A. Goobar, R. Amanullah, et al.. (2011). Near-IR search for lensed supernovae behind galaxy clusters: III. Implications for cluster modeling and cosmology. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
10.
Amanullah, R., A. Goobar, B. Clément, et al.. (2011). A HIGHLY MAGNIFIED SUPERNOVA AT z = 1.703 BEHIND THE MASSIVE GALAXY CLUSTER A1689. The Astrophysical Journal Letters. 742(1). L7–L7. 20 indexed citations
11.
Goobar, A., K. Paech, V. Stanishev, et al.. (2009). Near-IR search for lensed supernovae behind galaxy clusters. Astronomy and Astrophysics. 507(1). 71–83. 18 indexed citations
12.
Stanishev, V., A. Goobar, K. Paech, et al.. (2009). Near-IR search for lensed supernovae behind galaxy clusters. Astronomy and Astrophysics. 507(1). 61–69. 13 indexed citations
13.
Paech, K., W. Bauer, & Scott Pratt. (2007). Zipf's law in nuclear multifragmentation and percolation theory. Physical Review C. 76(5). 6 indexed citations
14.
Paech, K. & Adrian Dumitru. (2005). Density inhomogeneities in heavy-ion collisions around the critical point. Physics Letters B. 623(3-4). 200–207. 25 indexed citations
15.
Bratkovskaya, E.L., Marcus Bleicher, Azwinndini Muronga, K. Paech, & al et. (2005). Collective Flow Signals the Quark–Gluon Plasma. Acta Physica Hungarica A) Heavy Ion Physics. 24(1-4). 189–201. 36 indexed citations
16.
Paech, K., Adrian Dumitru, Jürgen Schaffner–Bielich, et al.. (2004). Particle Ratios from a Chiral SU(3) Model. Acta Physica Hungarica A) Heavy Ion Physics. 21(2-4). 151–156. 4 indexed citations
17.
Zschiesche, D., et al.. (2003). Particle ratios from AGS to RHIC in an interacting hadronic model. Journal of Physics G Nuclear and Particle Physics. 30(1). S381–S391. 3 indexed citations
18.
Paech, K.. (2003). Dynamical correlation length near the chiral critical point. The European Physical Journal C. 33(S1). s627–s629. 3 indexed citations
19.
Paech, K., H. Stöcker, & Adrian Dumitru. (2003). Hydrodynamics near a chiral critical point. Physical Review C. 68(4). 65 indexed citations
20.
Bleicher, Marcus, et al.. (2002). Tevatron$mdash$probing TeV-scale gravity today. Journal of Physics G Nuclear and Particle Physics. 28(7). 1657–1665. 6 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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