Swara Ravindranath

14.2k total citations
45 papers, 1.5k citations indexed

About

Swara Ravindranath is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Swara Ravindranath has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Astronomy and Astrophysics, 24 papers in Instrumentation and 6 papers in Nuclear and High Energy Physics. Recurrent topics in Swara Ravindranath's work include Galaxies: Formation, Evolution, Phenomena (34 papers), Astronomy and Astrophysical Research (24 papers) and Gamma-ray bursts and supernovae (14 papers). Swara Ravindranath is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (34 papers), Astronomy and Astrophysical Research (24 papers) and Gamma-ray bursts and supernovae (14 papers). Swara Ravindranath collaborates with scholars based in United States, India and Canada. Swara Ravindranath's co-authors include Mark Dickinson, Henry C. Ferguson, Luis C. Ho, A. V. Filippenko, Bahram Mobasher, Anne E. Jaskot, Mauro Giavalisco, Norman A. Grogin, W. L. W. Sargent and D. Elbaz and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Swara Ravindranath

41 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swara Ravindranath United States 18 1.5k 757 200 79 50 45 1.5k
Takatoshi Shibuya Japan 18 1.5k 1.0× 655 0.9× 287 1.4× 81 1.0× 65 1.3× 36 1.5k
Nor Pirzkal United States 21 1.2k 0.9× 707 0.9× 111 0.6× 88 1.1× 74 1.5× 87 1.3k
Göran Östlin Sweden 25 2.1k 1.4× 758 1.0× 300 1.5× 81 1.0× 80 1.6× 99 2.1k
Nimish P. Hathi United States 23 1.8k 1.2× 961 1.3× 197 1.0× 92 1.2× 90 1.8× 72 1.8k
Emma Curtis-Lake United Kingdom 16 1.4k 0.9× 738 1.0× 194 1.0× 83 1.1× 92 1.8× 32 1.4k
E. Merlin Italy 20 1.0k 0.7× 574 0.8× 96 0.5× 68 0.9× 41 0.8× 46 1.1k
Erik Zackrisson Sweden 23 1.6k 1.1× 540 0.7× 278 1.4× 96 1.2× 54 1.1× 86 1.7k
M. Schirmer Germany 22 1.4k 1.0× 689 0.9× 185 0.9× 124 1.6× 38 0.8× 61 1.4k
Roberto J. Assef United States 25 2.0k 1.4× 697 0.9× 393 2.0× 53 0.7× 34 0.7× 66 2.0k
E. Hatziminaoglou Germany 22 1.6k 1.1× 670 0.9× 309 1.5× 58 0.7× 27 0.5× 65 1.6k

Countries citing papers authored by Swara Ravindranath

Since Specialization
Citations

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

Fields of papers citing papers by Swara Ravindranath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swara Ravindranath

This figure shows the co-authorship network connecting the top 25 collaborators of Swara Ravindranath. A scholar is included among the top collaborators of Swara Ravindranath 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 Swara Ravindranath. Swara Ravindranath 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.
Jung, Intae, Henry C. Ferguson, Matthew Hayes, et al.. (2024). Constraints on the Lyman Continuum Escape from Low-mass Lensed Galaxies at 1.3 ≤ z ≤ 3.0. The Astrophysical Journal. 971(2). 175–175. 6 indexed citations
2.
Muzzin, Adam, Swara Ravindranath, Ghassan T. E. Sarrouh, et al.. (2023). Spectroscopy from Photometry: A Population of Extreme Emission Line Galaxies at 1.7 ≲ z ≲ 6.7 Selected with JWST Medium Band Filters. The Astrophysical Journal Letters. 958(1). L14–L14. 15 indexed citations
3.
Welch, Brian, Dan Coe, Adi Zitrin, et al.. (2023). RELICS: Small-scale Star Formation in Lensed Galaxies at z = 6–10. The Astrophysical Journal. 943(1). 2–2. 9 indexed citations
4.
Izotov, Y. I., D. Schaerer, G. Worseck, et al.. (2023). Abundances of CNO elements in z ∼ 0.3–0.4 Lyman continuum leaking galaxies. Monthly Notices of the Royal Astronomical Society. 522(1). 1228–1246. 17 indexed citations
5.
Asada, Yoshihisa, Marcin Sawicki, G. Desprez, et al.. (2023). JWST catches the assembly of a z ∼ 5 ultra-low-mass galaxy. Monthly Notices of the Royal Astronomical Society Letters. 523(1). L40–L45. 17 indexed citations
6.
Schaerer, D., Y. I. Izotov, G. Worseck, et al.. (2022). Strong Lyman continuum emitting galaxies show intense C IV λ1550 emission. Astronomy and Astrophysics. 658. L11–L11. 42 indexed citations
7.
Noirot, Gaël, Marcin Sawicki, Roberto Abraham, et al.. (2022). Across the green valley withHSTgrisms: colour evolution, crossing time-scales, and the growth of the red sequence atz = 1.0–1.8. Monthly Notices of the Royal Astronomical Society. 512(3). 3566–3588. 14 indexed citations
8.
Mowla, Lamiya, Kartheik G. Iyer, G. Desprez, et al.. (2022). The Sparkler: Evolved High-redshift Globular Cluster Candidates Captured by JWST. The Astrophysical Journal Letters. 937(2). L35–L35. 50 indexed citations
9.
Newman, Andrew B., Rachel Bezanson, Sean D. Johnson, et al.. (2019). Resolving Galaxy Formation at Cosmic Noon. Bulletin of the American Astronomical Society. 51(3). 145. 1 indexed citations
10.
Ravindranath, Swara, Casey Papovich, Bethan L. James, et al.. (2019). Spatially-resolved studies of star-forming galaxies in the reionization epoch. Bulletin of the American Astronomical Society. 51(3). 500. 1 indexed citations
11.
Willott, Chris J., Roberto Abraham, Loïc Albert, et al.. (2017). CANUCS: The CAnadian NIRISS Unbiased Cluster Survey. 1208. 3 indexed citations
12.
Strolger, Louis-Gregory, T. Dahlén, S. Rodney, et al.. (2015). THE RATE OF CORE COLLAPSE SUPERNOVAE TO REDSHIFT 2.5 FROM THE CANDELS AND CLASH SUPERNOVA SURVEYS. The Astrophysical Journal. 813(2). 93–93. 60 indexed citations
13.
Bond, Nicholas A., Jonathan P. Gardner, D. F. de Mello, et al.. (2014). THE REST-FRAME ULTRAVIOLET STRUCTURE OF 0.5 <z< 1.5 GALAXIES. The Astrophysical Journal. 791(1). 18–18. 6 indexed citations
14.
Mahabal, A., A. J. Drake, S. G. Djorgovski, et al.. (2010). Supernova Candidates and Classifications from CRTS. ATel. 2490. 1. 1 indexed citations
15.
Ravindranath, Swara. (2009). Edwin Powell Hubble. Resonance. 14(3). 211–213.
16.
Simmons, Brooke, C. M. Urry, Swara Ravindranath, et al.. (2004). Morphological Simulations of GOODS AGN Host Galaxies. American Astronomical Society Meeting Abstracts. 205. 1 indexed citations
17.
Foschini, L., Luis C. Ho, N. Masetti, et al.. (2002). BL Lac identification for the ultraluminous X-ray source observed inthe direction of NGC 4698. Springer Link (Chiba Institute of Technology). 17 indexed citations
18.
19.
Martini, Paul, Richard W. Pogge, Swara Ravindranath, & J. An. (2001). Hubble Space TelescopeObservations of the CfA Seyfert 2 Galaxies: Near‐Infrared Surface Photometry and Nuclear Bars. The Astrophysical Journal. 562(1). 139–151. 22 indexed citations
20.
Ravindranath, Swara & T. P. Prabhu. (2001). The Luminosity Function and Size Distribution of HII Regions in NGC 1365. Astrophysics and Space Science. 276(2-4). 429–436. 1 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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