István Szapudi

44.0k total citations
111 papers, 2.4k citations indexed

About

István Szapudi is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistical and Nonlinear Physics. According to data from OpenAlex, István Szapudi has authored 111 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Astronomy and Astrophysics, 29 papers in Instrumentation and 26 papers in Statistical and Nonlinear Physics. Recurrent topics in István Szapudi's work include Galaxies: Formation, Evolution, Phenomena (81 papers), Cosmology and Gravitation Theories (51 papers) and Astronomy and Astrophysical Research (29 papers). István Szapudi is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (81 papers), Cosmology and Gravitation Theories (51 papers) and Astronomy and Astrophysical Research (29 papers). István Szapudi collaborates with scholars based in United States, France and Hungary. István Szapudi's co-authors include Alexander S. Szalay, Mark C. Neyrinck, B. R. Granett, S. Prunet, Stéphane Colombi, Jun Pan, Julien Carron, M. Kerscher, András Kovács and Gayoung Chon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

István Szapudi

104 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
István Szapudi United States 29 2.2k 581 554 340 139 111 2.4k
Francisco-Shu Kitaura Germany 33 3.0k 1.3× 790 1.4× 1.1k 1.9× 309 0.9× 95 0.7× 80 3.2k
Benjamin Joachimi United Kingdom 32 2.8k 1.3× 969 1.7× 776 1.4× 174 0.5× 127 0.9× 90 3.0k
S. Colombi France 20 2.3k 1.0× 707 1.2× 619 1.1× 352 1.0× 101 0.7× 31 2.4k
Michael S. Vogeley United States 20 2.1k 0.9× 795 1.4× 526 0.9× 251 0.7× 211 1.5× 28 2.2k
M. Crocce Spain 32 3.3k 1.5× 958 1.6× 979 1.8× 416 1.2× 144 1.0× 56 3.6k
Takahiro Nishimichi Japan 31 2.8k 1.2× 915 1.6× 855 1.5× 208 0.6× 76 0.5× 112 2.9k
Guilhem Lavaux France 27 2.0k 0.9× 559 1.0× 558 1.0× 142 0.4× 94 0.7× 67 2.2k
Shirley Ho United States 32 3.2k 1.4× 795 1.4× 1.4k 2.5× 290 0.9× 105 0.8× 106 3.8k
Hee‐Jong Seo United States 26 2.5k 1.1× 692 1.2× 762 1.4× 189 0.6× 90 0.6× 48 2.6k
Changbom Park South Korea 28 2.7k 1.2× 1.1k 1.9× 593 1.1× 342 1.0× 190 1.4× 138 2.8k

Countries citing papers authored by István Szapudi

Since Specialization
Citations

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

Fields of papers citing papers by István Szapudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of István Szapudi

This figure shows the co-authorship network connecting the top 25 collaborators of István Szapudi. A scholar is included among the top collaborators of István Szapudi 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 István Szapudi. István Szapudi 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.
Rácz, Gábor, et al.. (2025). Simulating rotating newtonian universes. The European Physical Journal Special Topics. 234(10). 3037–3043.
2.
Kovács, András, et al.. (2024). The cosmic microwave background lensing imprint of cosmic voids detected in the WISE-Pan-STARRS luminous red galaxy catalog. Astronomy and Astrophysics. 689. A171–A171. 1 indexed citations
3.
Einasto, J., Gert Hütsi, L. J. Liivamägi, et al.. (2023). Evolution of matter and galaxy clustering in cosmological hydrodynamical simulations. Monthly Notices of the Royal Astronomical Society. 523(3). 4693–4707. 1 indexed citations
4.
Kovács, András, Robert E. Beck, A. G. Smith, et al.. (2022). Evidence for a high-zISW signal from supervoids in the distribution of eBOSS quasars. Monthly Notices of the Royal Astronomical Society. 513(1). 15–26. 17 indexed citations
5.
Beck, Robert E., et al.. (2022). WISE-PS1-STRM: neural network source classification and photometric redshifts for WISE×PS1. Monthly Notices of the Royal Astronomical Society. 515(4). 4711–4721. 8 indexed citations
6.
Beck, Robert E., et al.. (2020). Hawaii Two-0: high-redshift galaxy clustering and bias. Monthly Notices of the Royal Astronomical Society. 493(2). 2318–2328. 2 indexed citations
7.
Kovács, András, Robert E. Beck, István Szapudi, et al.. (2020). A common explanation of the Hubble tension and anomalous cold spots in the CMB. Monthly Notices of the Royal Astronomical Society. 499(1). 320–333. 13 indexed citations
8.
Neyrinck, Mark C., et al.. (2018). Density-dependent clustering – I. Pullingback the curtains on motions of the BAO peak. Monthly Notices of the Royal Astronomical Society. 478(2). 2495–2504. 16 indexed citations
9.
Cai, Yan-Chuan, Mark C. Neyrinck, István Szapudi, Shaun Cole, & Carlos S. Frenk. (2013). A Detection of the Cold Imprint of Voids on the Microwave Background Radiation. arXiv (Cornell University). 1 indexed citations
10.
Challinor, A., Gayoung Chon, Stéphane Colombi, et al.. (2011). PolSpice: Spatially Inhomogeneous Correlation Estimator for Temperature and Polarisation. Astrophysics Source Code Library. 6 indexed citations
11.
Granett, B. R., Mark C. Neyrinck, & István Szapudi. (2009). The Dark Imprints Of Superstructures On The CMB. 213. 1 indexed citations
12.
Neyrinck, Mark C., et al.. (2006). The cosmological information content of the halo-model dark-matter power spectrum. arXiv (Cornell University). 1 indexed citations
13.
Fosalba, P., Jun Pan, & István Szapudi. (2005). Cosmological Three‐Point Function: Testing the Halo Model against Simulations. The Astrophysical Journal. 632(1). 29–48. 21 indexed citations
14.
Szapudi, István. (2004). Three-Point Statistics from a New Perspective. The Astrophysical Journal. 605(2). L89–L92. 33 indexed citations
15.
Szapudi, István, E. Branchini, Carlos S. Frenk, S. Maddox, & Will Saunders. (2000). The luminosity dependence of clustering and higher order correlations in the PSCz survey. Monthly Notices of the Royal Astronomical Society. 318(4). L45–L50. 19 indexed citations
16.
Kerscher, M., István Szapudi, & Alexander S. Szalay. (1999). A comparison of estimators for the two-point correlation function: dispelling the myths. arXiv (Cornell University).
17.
Colombi, S., István Szapudi, & Alexander S. Szalay. (1998). Effects of sampling on statistics of large-scale structure. Monthly Notices of the Royal Astronomical Society. 296(2). 253–274. 27 indexed citations
18.
Postman, Marc, Tod R. Lauer, István Szapudi, & W. R. Oegerle. (1998). Clustering at High Redshift: Precise Constraints from a Deep, Wide‐Area Survey. The Astrophysical Journal. 506(1). 33–44. 57 indexed citations
19.
Szapudi, István, et al.. (1996). Higher Order Statistics from the Edinburgh/Durham Southern Galaxy Catalogue Survey. I. Counts in Cells. The Astrophysical Journal. 473(1). 15–21. 28 indexed citations
20.
Szapudi, István, et al.. (1992). Cluster correlations from N-point correlation amplitudes. The Astrophysical Journal. 390. 350–350. 33 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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