Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
HEALPix: A Framework for High‐Resolution Discretization and Fast Analysis of Data Distributed on the Sphere
20053.2k citationsK. M. Górski, E. Hivon et al.profile →
This map shows the geographic impact of K. M. Górski'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. M. Górski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. M. Górski more than expected).
This network shows the impact of papers produced by K. M. Górski. 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. M. Górski. The network helps show where K. M. Górski may publish in the future.
Co-authorship network of co-authors of K. M. Górski
This figure shows the co-authorship network connecting the top 25 collaborators of K. M. Górski.
A scholar is included among the top collaborators of K. M. Górski 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. M. Górski. K. M. Górski 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.
Tristram, M., A. J. Banday, M. Douspis, et al.. (2023). Cosmological parameters derived from the final Planck data release (PR4). Astronomy and Astrophysics. 682. A37–A37.100 indexed citations breakdown →
Zonca, A., L. P. Singer, Daniel Lenz, et al.. (2020). healpy: Python wrapper for HEALPix. Astrophysics Source Code Library.1 indexed citations
4.
Górski, K. M., et al.. (2019). Planck-scale physics vs Galactic astrophysics - on the need and requirements for the high-quality full-sky low-frequency microwave polarization survey. Bulletin of the American Astronomical Society. 51(7). 188.
5.
Zonca, A., L. P. Singer, Daniel Lenz, et al.. (2019). healpy: equal area pixelization and spherical harmonics transforms for data on the sphere in Python. The Journal of Open Source Software. 4(35). 1298–1298.526 indexed citations breakdown →
Górski, K. M. & E. Hivon. (2011). HEALPix: Hierarchical Equal Area isoLatitude Pixelization of a sphere. Astrophysics Source Code Library.5 indexed citations
9.
Morfill, G. E., et al.. (2010). Probing Non-gaussianities On Large Scales In WMAP5 And WMAP7 Data Using Surrogates. Max Planck Digital Library. 39–42.
10.
Gjerløw, E., H. K. Eriksen, A. J. Banday, K. M. Górski, & P. B. Lilje. (2009). The 2-and 3-point correlation functions of the polarized 5-year WMAP sky maps. arXiv (Cornell University).1 indexed citations
Eriksen, H. K., D. Novikov, P. B. Lilje, A. J. Banday, & K. M. Górski. (2004). Testing for non-Gaussianity in the WMAP data: Minkowski functionals and the length of the skeleton. arXiv (Cornell University).7 indexed citations
13.
Górski, K. M., A. J. Banday, E. Hivon, & B. D. Wandelt. (2002). HEALPix --- a Framework for High Resolution, Fast Analysis on the Sphere. ASPC. 281. 107.5 indexed citations
14.
Kubiak, M., Andrew McWilliam, A. Udalski, & K. M. Górski. (2002). Metal Abundance of Red Clump Stars in Baade's Window. Acta Astronomica. 52. 159–175.
15.
Banday, A. J., P. G. Castro, Pedro G. Ferreira, & K. M. Górski. (2001). The Trispectrum of the 4 Year COBE DMR Data. Sussex Research Online (University of Sussex).26 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.