M. Smith

69.6k total citations
60 papers, 1.2k citations indexed

About

M. Smith is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Molecular Biology. According to data from OpenAlex, M. Smith has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Astronomy and Astrophysics, 25 papers in Nuclear and High Energy Physics and 5 papers in Molecular Biology. Recurrent topics in M. Smith's work include Gamma-ray bursts and supernovae (38 papers), Astrophysics and Cosmic Phenomena (23 papers) and Galaxies: Formation, Evolution, Phenomena (21 papers). M. Smith is often cited by papers focused on Gamma-ray bursts and supernovae (38 papers), Astrophysics and Cosmic Phenomena (23 papers) and Galaxies: Formation, Evolution, Phenomena (21 papers). M. Smith collaborates with scholars based in United Kingdom, United States and South Africa. M. Smith's co-authors include R. C. Nichol, Bruce A. Bassett, Donald P. Schneider, M. Šako, J. Sollerman, J. Marriner, R. Keßler, M. Sullivan, J. Frieman and Hubert Lampeitl and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Applied Catalysis A General.

In The Last Decade

M. Smith

57 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Smith United Kingdom 22 1.0k 376 179 43 40 60 1.2k
Martin Reinecke Germany 12 905 0.9× 336 0.9× 177 1.0× 51 1.2× 43 1.1× 30 1.1k
J. Zuntz United Kingdom 13 742 0.7× 283 0.8× 197 1.1× 30 0.7× 114 2.9× 29 829
Emanuele Castorina Italy 19 913 0.9× 508 1.4× 186 1.0× 26 0.6× 28 0.7× 39 1.0k
Andreu Font-Ribera United Kingdom 19 1.4k 1.3× 448 1.2× 356 2.0× 45 1.0× 37 0.9× 51 1.4k
Tomoaki Ishiyama Japan 15 736 0.7× 357 0.9× 215 1.2× 39 0.9× 21 0.5× 45 869
Boryana Hadzhiyska United States 21 1.0k 1.0× 268 0.7× 414 2.3× 64 1.5× 25 0.6× 57 1.1k
Stéphane Colombi France 15 947 0.9× 347 0.9× 236 1.3× 32 0.7× 22 0.6× 29 1.0k
Nicholas Battaglia United States 22 1.5k 1.5× 570 1.5× 321 1.8× 51 1.2× 30 0.8× 48 1.6k
Eilat Glikman United States 23 2.0k 1.9× 461 1.2× 557 3.1× 24 0.6× 82 2.0× 52 2.1k
Laurence Perreault-Levasseur Canada 12 516 0.5× 228 0.6× 82 0.5× 73 1.7× 99 2.5× 28 660

Countries citing papers authored by M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of M. Smith. A scholar is included among the top collaborators of M. Smith 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 M. Smith. M. Smith 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.
Oates, S. R., Д. А. Канн, Jyoti C. Patel, et al.. (2025). Evidence for an intrinsic luminosity–decay correlation in GRB radio afterglows. Monthly Notices of the Royal Astronomical Society. 542(3). 2421–2430.
2.
Liu, Silvia, Caroline Obert, Yanping Yu, et al.. (2024). Utility analyses of AVITI sequencing chemistry. BMC Genomics. 25(1). 778–778. 1 indexed citations
3.
Pareek, Nilesh, C. Frohmaier, M. Smith, et al.. (2023). A machine learning algorithm to predict a culprit lesion after out of hospital cardiac arrest. Catheterization and Cardiovascular Interventions. 102(1). 80–90. 2 indexed citations
4.
Kim, Young-Lo, et al.. (2023). Reconsidering photometric estimation of local star formation environment and its correlation with Type Ia supernova luminosity. Monthly Notices of the Royal Astronomical Society. 527(2). 4359–4369. 1 indexed citations
5.
Maguire, K., M. Magee, Mattia Bulla, et al.. (2023). Early-time spectroscopic modelling of the transitional Type Ia Supernova 2021rhu with tardis. Monthly Notices of the Royal Astronomical Society. 522(3). 4444–4467.
6.
Liu, Silvia, Yanping Yu, Bao‐Guo Ren, et al.. (2023). Long-read single-cell sequencing reveals expressions of hypermutation clusters of isoforms in human liver cancer cells. eLife. 12. 2 indexed citations
7.
Wiseman, P., M. Sullivan, M. Smith, & B Popovic. (2023). Further evidence that galaxy age drives observed Type Ia supernova luminosity differences. Monthly Notices of the Royal Astronomical Society. 520(4). 6214–6222. 15 indexed citations
8.
Kim, Young-Lo, M. Rigault, James D. Neill, et al.. (2022). New Modules for the SEDMachine to Remove Contaminations from Cosmic Rays and Non-target Light: byecr and contsep. Publications of the Astronomical Society of the Pacific. 134(1032). 24505–24505. 11 indexed citations
9.
Rigault, M., Y. Copin, G. Aldering, et al.. (2021). Redshift evolution of the underlying type Ia supernova stretch distribution. Springer Link (Chiba Institute of Technology). 2 indexed citations
10.
Fernández, Michael, et al.. (2021). Machine-Learning Digital Twin of Overlay Metal Deposition for Distortion Control of Panel Structures. IFAC-PapersOnLine. 54(1). 767–772. 2 indexed citations
11.
Galbany, L., M. Smith, S. Duarte Puertas, et al.. (2021). Aperture-corrected spectroscopic type Ia supernova host galaxy properties. Astronomy and Astrophysics. 659. A89–A89. 5 indexed citations
12.
Müller-Bravo, T. E., M. Sullivan, M. Smith, et al.. (2021). PISCOLA: a data-driven transient light-curve fitter. arXiv (Cornell University). 2 indexed citations
13.
Graham, M. L., Chelsea Harris, P. Nugent, et al.. (2019). Delayed Circumstellar Interaction for Type Ia SN 2015cp Revealed by an HST Ultraviolet Imaging Survey. The Astrophysical Journal. 871(1). 62–62. 26 indexed citations
14.
Stanishev, V., A. Goobar, R. Amanullah, et al.. (2018). Type Ia supernova Hubble diagram with near-infrared and optical observations. Astronomy and Astrophysics. 615. A45–A45. 16 indexed citations
15.
Bassett, Bruce A., et al.. (2017). Parameter estimation with Bayesian estimation applied to multiple species in the presence of biases and correlations. reroDoc Digital Library. 4 indexed citations
16.
Monard, L. A. G., M. Fraser, M. Smith, et al.. (2015). Supernova 2015F in NGC 2442 = Psn J07361576-6930230. 4081. 1. 1 indexed citations
17.
Seikel, Marina, Chris Clarkson, & M. Smith. (2013). GaPP: Gaussian Processes in Python. Astrophysics Source Code Library. 2 indexed citations
18.
D’Andrea, C. B., R. Gupta, M. Šako, et al.. (2011). Open University of Cape Town (University of Cape Town). 26 indexed citations
19.
Leloudas, G., Anna Gallazzi, J. Sollerman, et al.. (2011). The properties of SN Ib/c locations. Springer Link (Chiba Institute of Technology). 52 indexed citations
20.
Velzen, Sjoert van, L. Östman, Joseph D. Gelfand, et al.. (2010). Optical Discovery of Stellar Tidal Disruption Flares. arXiv (Cornell University). 218.

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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