S. Nadathur

12.7k total citations
37 papers, 960 citations indexed

About

S. Nadathur is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, S. Nadathur has authored 37 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Astronomy and Astrophysics, 13 papers in Instrumentation and 9 papers in Nuclear and High Energy Physics. Recurrent topics in S. Nadathur's work include Galaxies: Formation, Evolution, Phenomena (28 papers), Cosmology and Gravitation Theories (26 papers) and Astronomy and Astrophysical Research (13 papers). S. Nadathur is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (28 papers), Cosmology and Gravitation Theories (26 papers) and Astronomy and Astrophysical Research (13 papers). S. Nadathur collaborates with scholars based in United Kingdom, Canada and Germany. S. Nadathur's co-authors include Shaun Hotchkiss, Will J. Percival, S. Sarkar, Hans A. Winther, Anupam Mazumdar, Julian Bautista, Florian Beutler, Samuel Flender, Ilian T. Iliev and William A. Watson and has published in prestigious journals such as Physical Review Letters, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

S. Nadathur

37 papers receiving 919 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Nadathur United Kingdom 22 904 296 235 93 47 37 960
Alice Pisani United States 17 851 0.9× 267 0.9× 295 1.3× 90 1.0× 47 1.0× 25 946
P. M. Sutter United States 19 957 1.1× 306 1.0× 315 1.3× 76 0.8× 82 1.7× 30 1.0k
Eyal Kazin United States 9 1.2k 1.3× 418 1.4× 346 1.5× 71 0.8× 44 0.9× 11 1.2k
M. Vargas-Magaña United States 16 711 0.8× 216 0.7× 218 0.9× 71 0.8× 29 0.6× 26 781
F. Marulli Italy 22 1.1k 1.3× 272 0.9× 599 2.5× 104 1.1× 39 0.8× 55 1.2k
Jaiyul Yoo Switzerland 18 1.2k 1.3× 448 1.5× 188 0.8× 68 0.7× 23 0.5× 47 1.2k
J. Lange United States 16 676 0.7× 125 0.4× 221 0.9× 41 0.4× 53 1.1× 33 710
Zuhui Fan China 19 986 1.1× 247 0.8× 227 1.0× 29 0.3× 34 0.7× 67 1.1k
Donald P. Schneider United States 13 1.3k 1.4× 427 1.4× 495 2.1× 58 0.6× 65 1.4× 14 1.3k
Emanuele Castorina Italy 19 913 1.0× 508 1.7× 186 0.8× 71 0.8× 17 0.4× 39 1.0k

Countries citing papers authored by S. Nadathur

Since Specialization
Citations

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

Fields of papers citing papers by S. Nadathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Nadathur

This figure shows the co-authorship network connecting the top 25 collaborators of S. Nadathur. A scholar is included among the top collaborators of S. Nadathur 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 S. Nadathur. S. Nadathur 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.
Paillas, E., et al.. (2025). Modelling the BOSS void-galaxy cross-correlation function using a neural-network emulator. Journal of Cosmology and Astroparticle Physics. 2025(6). 1–1. 1 indexed citations
2.
Paillas, E., Carolina Cuesta-Lazaro, Will J. Percival, et al.. (2024). Cosmological constraints from density-split clustering in the BOSS CMASS galaxy sample. Monthly Notices of the Royal Astronomical Society. 531(1). 898–918. 18 indexed citations
3.
Cuesta-Lazaro, Carolina, E. Paillas, Sihan Yuan, et al.. (2024). SUNBIRD: a simulation-based model for full-shape density-split clustering. Monthly Notices of the Royal Astronomical Society. 531(3). 3336–3356. 10 indexed citations
4.
Radinović, Slađana, Hans A. Winther, S. Nadathur, et al.. (2024). Alcock–Paczyński effect on void-finding. Astronomy and Astrophysics. 691. A39–A39. 3 indexed citations
5.
Percival, Will J., S. Nadathur, Hans A. Winther, et al.. (2023). Cosmological measurements from void-galaxy and galaxy-galaxy clustering in the Sloan Digital Sky Survey. Monthly Notices of the Royal Astronomical Society. 523(4). 6360–6370. 8 indexed citations
6.
Cuceu, Andrei, Andreu Font-Ribera, Paul Martini, et al.. (2023). The Alcock–Paczyński effect from Lyman-α forest correlations: analysis validation with synthetic data. Monthly Notices of the Royal Astronomical Society. 523(3). 3773–3790. 4 indexed citations
7.
Cuceu, Andrei, Andreu Font-Ribera, S. Nadathur, Benjamin Joachimi, & Paul Martini. (2023). Constraints on the Cosmic Expansion Rate at Redshift 2.3 from the Lyman-α Forest. Physical Review Letters. 130(19). 191003–191003. 14 indexed citations
8.
9.
Aubert, M, S. Escoffier, A. J. Hawken, et al.. (2022). The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: growth rate of structure measurement from cosmic voids. Monthly Notices of the Royal Astronomical Society. 513(1). 186–203. 1 indexed citations
10.
Massara, Elena, Will J. Percival, Neal Dalal, et al.. (2022). Velocity profiles of matter and biased tracers around voids. Monthly Notices of the Royal Astronomical Society. 517(3). 4458–4471. 7 indexed citations
11.
Nadathur, S., Will J. Percival, Florian Beutler, & Hans A. Winther. (2020). Testing Low-Redshift Cosmic Acceleration with Large-Scale Structure. Physical Review Letters. 124(22). 221301–221301. 36 indexed citations
12.
Hawken, A. J., M Aubert, Alice Pisani, et al.. (2020). Constraints on the growth of structure around cosmic voids in eBOSS DR14. Journal of Cosmology and Astroparticle Physics. 2020(6). 12–12. 26 indexed citations
13.
Nadathur, S., Paul Carter, Will J. Percival, Hans A. Winther, & Julian Bautista. (2019). REVOLVER: REal-space VOid Locations from suVEy Reconstruction. ascl. 2 indexed citations
14.
Nadathur, S., et al.. (2019). Beyond BAO: Improving cosmological constraints from BOSS data with measurement of the void-galaxy cross-correlation. Physical review. D. 100(2). 72 indexed citations
15.
Nadathur, S., Shaun Hotchkiss, & Robert Crittenden. (2017). Tracing the gravitational potential using cosmic voids. Monthly Notices of the Royal Astronomical Society. 467(4). 4067–4079. 18 indexed citations
16.
Nadathur, S.. (2016). Testing cosmology with a catalogue of voids in the BOSS galaxy surveys. Monthly Notices of the Royal Astronomical Society. 461(1). 358–370. 37 indexed citations
17.
Nadathur, S. & Shaun Hotchkiss. (2015). The nature of voids – I. Watershed void finders and their connection with theoretical models. Monthly Notices of the Royal Astronomical Society. 454(2). 2228–2241. 46 indexed citations
18.
Nadathur, S. & Shaun Hotchkiss. (2013). A self-consistent public catalogue of voids and superclusters in the SDSS Data Release 7 galaxy surveys. arXiv (Cornell University). 2 indexed citations
19.
Mazumdar, Anupam & S. Nadathur. (2012). Curvaton Scenario within the Minimal Supersymmetric Standard Model and Predictions for Non-Gaussianity. Physical Review Letters. 108(11). 111302–111302. 10 indexed citations
20.
Nadathur, S., Shaun Hotchkiss, & S. Sarkar. (2012). The integrated Sachs-Wolfe imprint of cosmic superstructures: a problem for ΛCDM. Journal of Cosmology and Astroparticle Physics. 2012(6). 42–42. 50 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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