Shankar Agarwal

419 total citations
16 papers, 296 citations indexed

About

Shankar Agarwal is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Shankar Agarwal has authored 16 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Astronomy and Astrophysics, 6 papers in Nuclear and High Energy Physics and 4 papers in Instrumentation. Recurrent topics in Shankar Agarwal's work include Galaxies: Formation, Evolution, Phenomena (12 papers), Cosmology and Gravitation Theories (9 papers) and Dark Matter and Cosmic Phenomena (5 papers). Shankar Agarwal is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (12 papers), Cosmology and Gravitation Theories (9 papers) and Dark Matter and Cosmic Phenomena (5 papers). Shankar Agarwal collaborates with scholars based in South Africa, United Kingdom and France. Shankar Agarwal's co-authors include Pier-Stefano Corasaniti, Subinoy Das, Hume A. Feldman, David J. E. Marsh, Bruce A. Bassett, O. Lahav, F. B. Abdalla, Shaun A. Thomas, Romeel Davé and Yann Rasera and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and Physical review. D.

In The Last Decade

Shankar Agarwal

14 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shankar Agarwal South Africa 9 270 128 56 32 20 16 296
Georgios Valogiannis United States 12 325 1.2× 133 1.0× 49 0.9× 38 1.2× 34 1.7× 18 365
Cristiano G. Sabiu South Korea 12 307 1.1× 100 0.8× 76 1.4× 21 0.7× 22 1.1× 24 330
L Blot Spain 6 268 1.0× 80 0.6× 73 1.3× 16 0.5× 29 1.4× 8 285
Matthew D. Olmstead United States 8 414 1.5× 162 1.3× 83 1.5× 9 0.3× 23 1.1× 9 442
Kate Storey-Fisher United States 9 197 0.7× 50 0.4× 73 1.3× 31 1.0× 9 0.5× 13 237
Andrina Nicola Switzerland 11 402 1.5× 157 1.2× 82 1.5× 20 0.6× 33 1.6× 32 436
José Fonseca United Kingdom 13 395 1.5× 154 1.2× 68 1.2× 8 0.3× 15 0.8× 27 431
K. Markovič United Kingdom 8 422 1.6× 228 1.8× 89 1.6× 8 0.3× 27 1.4× 17 451
Pauline Zarrouk United Kingdom 10 190 0.7× 40 0.3× 60 1.1× 17 0.5× 18 0.9× 14 203
T. Boch France 6 120 0.4× 56 0.4× 33 0.6× 13 0.4× 8 0.4× 25 160

Countries citing papers authored by Shankar Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Shankar Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shankar Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Shankar Agarwal. A scholar is included among the top collaborators of Shankar Agarwal 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 Shankar Agarwal. Shankar Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Rasera, Yann, Michel-Andrès Breton, Pier-Stefano Corasaniti, et al.. (2022). The RayGalGroupSims cosmological simulation suite for the study of relativistic effects: An application to lensing-matter clustering statistics. Astronomy and Astrophysics. 661. A90–A90. 11 indexed citations
2.
Plionis, M., et al.. (2021). Dependence of the dynamical properties of light-cone simulation dark matter halos on their environment. Springer Link (Chiba Institute of Technology). 2 indexed citations
3.
Agarwal, Shankar, et al.. (2021). Improving the Reliability of Pooled Testing with Combinatorial Decoding and Compressed Sensing. abs 2007 9171. 1–5. 1 indexed citations
4.
Blot, L, Pier-Stefano Corasaniti, Yann Rasera, & Shankar Agarwal. (2020). Cosmological model parameter dependence of the matter power spectrum covariance from the DEUS-PUR Cosmo simulations. Monthly Notices of the Royal Astronomical Society. 500(2). 2532–2542. 5 indexed citations
5.
Agarwal, Shankar, Romeel Davé, & Bruce A. Bassett. (2018). Painting galaxies into dark matter haloes using machine learning. Monthly Notices of the Royal Astronomical Society. 478(3). 3410–3422. 49 indexed citations
6.
Lochner, Michelle, et al.. (2017). zBEAMS: a unified solution for supernova cosmology with redshift uncertainties. Journal of Cosmology and Astroparticle Physics. 2017(10). 36–36. 10 indexed citations
7.
Corasaniti, Pier-Stefano, Shankar Agarwal, David J. E. Marsh, & Subinoy Das. (2017). Constraints on dark matter scenarios from measurements of the galaxy luminosity function at high redshifts. Physical review. D. 95(8). 83 indexed citations
8.
Saraf, Smriti, et al.. (2016). Dexmedetomidine As Adjuvant To Ropivacaine in Brachial Plexus Block-A Dose Response Study. 5(3). 4 indexed citations
9.
Agarwal, Shankar, Pier-Stefano Corasaniti, Subinoy Das, & Yann Rasera. (2015). Small scale clustering of late forming dark matter. Physical review. D. Particles, fields, gravitation, and cosmology. 92(6). 9 indexed citations
10.
Agarwal, Shankar & Pier-Stefano Corasaniti. (2015). Structural properties of artificial halos in nonstandard dark matter simulations. Physical review. D. Particles, fields, gravitation, and cosmology. 91(12). 8 indexed citations
11.
Khan, Munir, et al.. (2015). Role of Dexmedetomidine as an Anesthetic Adjuvant in Laparoscopic Surgery. Zenodo (CERN European Organization for Nuclear Research).
12.
Agarwal, Shankar, F. B. Abdalla, Hume A. Feldman, O. Lahav, & Shaun A. Thomas. (2014). pkann – II. A non-linear matter power spectrum interpolator developed using artificial neural networks. Monthly Notices of the Royal Astronomical Society. 439(2). 2102–2121. 42 indexed citations
13.
Agarwal, Shankar & Hume A. Feldman. (2013). The cosmic Mach number: comparison from observations, numerical simulations and non-linear predictions. Monthly Notices of the Royal Astronomical Society. 432(1). 307–317. 5 indexed citations
14.
Agarwal, Shankar, F. B. Abdalla, Hume A. Feldman, O. Lahav, & Shaun A. Thomas. (2012). PkANN - I. Non-linear matter power spectrum interpolation through artificial neural networks. Monthly Notices of the Royal Astronomical Society. 424(2). 1409–1418. 40 indexed citations
15.
Macaulay, E., Hume A. Feldman, Pedro G. Ferreira, et al.. (2012). Power spectrum estimation from peculiar velocity catalogues. Monthly Notices of the Royal Astronomical Society. 425(3). 1709–1717. 27 indexed citations
16.
Agarwal, Shankar & Hume A. Feldman. (2010). The effect of massive neutrinos on the matter power spectrum. arXiv (Cornell University).

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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