S. M. Percival

1.6k total citations
26 papers, 878 citations indexed

About

S. M. Percival is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, S. M. Percival has authored 26 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Astronomy and Astrophysics, 14 papers in Instrumentation and 2 papers in Nuclear and High Energy Physics. Recurrent topics in S. M. Percival's work include Stellar, planetary, and galactic studies (22 papers), Astronomy and Astrophysical Research (14 papers) and Galaxies: Formation, Evolution, Phenomena (11 papers). S. M. Percival is often cited by papers focused on Stellar, planetary, and galactic studies (22 papers), Astronomy and Astrophysical Research (14 papers) and Galaxies: Formation, Evolution, Phenomena (11 papers). S. M. Percival collaborates with scholars based in United Kingdom, United States and Italy. S. M. Percival's co-authors include M. Salaris, P. A. James, S. Cassisi, A. Pietrinferni, D. Kilkenny, N. Shane, J. H. Knapen, J. Etherton, M. A. T. Groenewegen and Jason W. Ferguson 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

S. M. Percival

25 papers receiving 859 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. M. Percival United Kingdom 18 865 429 68 29 25 26 878
Lucimara P. Martins Brazil 17 906 1.0× 426 1.0× 59 0.9× 40 1.4× 28 1.1× 40 928
C. C. Worley United Kingdom 16 833 1.0× 416 1.0× 91 1.3× 31 1.1× 16 0.6× 36 850
I. S. Konstantopoulos United States 17 876 1.0× 429 1.0× 58 0.9× 21 0.7× 15 0.6× 37 892
P. Panuzzo France 19 1.1k 1.3× 334 0.8× 93 1.4× 24 0.8× 32 1.3× 38 1.1k
G. P. Tiede United States 15 789 0.9× 403 0.9× 44 0.6× 28 1.0× 24 1.0× 18 810
L. M. Buson Italy 19 1.2k 1.4× 569 1.3× 93 1.4× 28 1.0× 43 1.7× 57 1.2k
Rebecca A. Koopmann United States 17 910 1.1× 423 1.0× 86 1.3× 14 0.5× 26 1.0× 26 916
J. M. Gabor France 17 1.2k 1.4× 464 1.1× 121 1.8× 29 1.0× 37 1.5× 21 1.2k
Hans-Walter Rix United States 14 628 0.7× 270 0.6× 56 0.8× 23 0.8× 22 0.9× 21 672
Karín Menéndez‐Delmestre Brazil 13 857 1.0× 474 1.1× 69 1.0× 28 1.0× 47 1.9× 35 884

Countries citing papers authored by S. M. Percival

Since Specialization
Citations

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

Fields of papers citing papers by S. M. Percival

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. M. Percival

This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Percival. A scholar is included among the top collaborators of S. M. Percival 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. M. Percival. S. M. Percival 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.
Percival, S. M. & P. A. James. (2020). Diffuse LINER-type emission from extended disc regions of barred galaxies. Monthly Notices of the Royal Astronomical Society. 496(1). 36–48. 2 indexed citations
2.
Bremer, M. N., S. Phillipps, L. S. Kelvin, et al.. (2018). Galaxy and Mass Assembly (GAMA): Morphological transformation of galaxies across the green valley. Monthly Notices of the Royal Astronomical Society. 476(1). 12–26. 61 indexed citations
3.
James, P. A. & S. M. Percival. (2017). Star formation suppression and bar ages in nearby barred galaxies. Monthly Notices of the Royal Astronomical Society. 474(3). 3101–3109. 35 indexed citations
4.
James, P. A. & S. M. Percival. (2015). Discovery of kpc-scale line emission in barred galaxies, not linked to AGN or star formation.. Monthly Notices of the Royal Astronomical Society. 450(4). 3503–3513. 17 indexed citations
5.
Ashall, C., P. A. Mazzali, D. Bersier, et al.. (2014). Photometric and spectroscopic observations, and abundance tomography modelling of the Type Ia supernova SN 2014J located in M82. Monthly Notices of the Royal Astronomical Society. 445(4). 4424–4434. 27 indexed citations
6.
Lyman, J., P. A. James, Hagai B. Perets, et al.. (2013). Environment-derived constraints on the progenitors of low-luminosity Type I supernovae★. Monthly Notices of the Royal Astronomical Society. 434(1). 527–541. 41 indexed citations
7.
Percival, S. M. & M. Salaris. (2009). THE IMPACT OF SYSTEMATIC UNCERTAINTIES IN STELLAR PARAMETERS ON INTEGRATED SPECTRA OF STELLAR POPULATIONS. The Astrophysical Journal. 703(1). 1123–1130. 19 indexed citations
8.
Pietrinferni, A., S. Cassisi, M. Salaris, S. M. Percival, & Jason W. Ferguson. (2009). A LARGE STELLAR EVOLUTION DATABASE FOR POPULATION SYNTHESIS STUDIES. V. STELLAR MODELS AND ISOCHRONES WITH CNONa ABUNDANCE ANTICORRELATIONS. The Astrophysical Journal. 697(1). 275–282. 87 indexed citations
9.
Percival, S. M., M. Salaris, S. Cassisi, & A. Pietrinferni. (2008). A LARGE STELLAR EVOLUTION DATABASE FOR POPULATION SYNTHESIS STUDIES. IV. INTEGRATED PROPERTIES AND SPECTRA. The Astrophysical Journal. 690(1). 427–439. 65 indexed citations
10.
Percival, S. M., M. Salaris, & M. A. T. Groenewegen. (2005). The distance to the Pleiades. Astronomy and Astrophysics. 429(3). 887–894. 29 indexed citations
11.
James, P. A., N. Shane, J. H. Knapen, J. Etherton, & S. M. Percival. (2005). The Hα Galaxy Survey. Astronomy and Astrophysics. 429(3). 851–867. 28 indexed citations
12.
Groenewegen, M. A. T., M. Salaris, & S. M. Percival. (2005). The distance to the Pleiades. Dialnet (Universidad de la Rioja). 430(2). 887–894. 5 indexed citations
13.
James, P. A., N. Shane, J. E. Beckman, et al.. (2004). The H$\mathsf{\alpha}$ galaxy survey. Astronomy and Astrophysics. 414(1). 23–43. 127 indexed citations
14.
Percival, S. M., M. Salaris, & M. A. T. Groenewegen. (2004). The distance to the Pleiades: Main sequence fitting in the near infrared. ArXiv.org. 21 indexed citations
15.
James, P. A., N. Shane, J. E. Beckman, et al.. (2004). The Hα Galaxy Survey ⋆ I. The galaxy sample, Hα narrow-band observations and star formation parameters for 334 galaxies. 414(1). 23–43. 114 indexed citations
16.
Percival, S. M. & M. Salaris. (2003). An empirical test of the theoretical population corrections to the red clump absolute magnitude. Monthly Notices of the Royal Astronomical Society. 343(2). 539–546. 25 indexed citations
17.
Percival, S. M., M. Salaris, & D. Kilkenny. (2003). The open cluster distance scale. Astronomy and Astrophysics. 400(2). 541–552. 25 indexed citations
18.
Salaris, M., S. M. Percival, E. Brocato, Gabriella Raimondo, & A. R. Walker. (2003). The Distance to the Large Magellanic Cloud Cluster NGC 1866 and the Surrounding Field. The Astrophysical Journal. 588(2). 801–804. 12 indexed citations
19.
Percival, S. M., M. Salaris, & D. Kilkenny. (2003). The Open Cluster Distance Scale: A New Empirical Approach. arXiv (Cornell University). 23 indexed citations
20.
Percival, S. M. & Barry Starcher. (1988). Identification of a Uterine Elastase in the Pregnant Rat Uterus. Experimental Biology and Medicine. 189(1). 117–129. 5 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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