M. L. Pretorius

77 total papers · 1.9k total citations
40 papers, 1.0k citations indexed

About

M. L. Pretorius is a scholar working on Astronomy and Astrophysics, Computational Mechanics and Nuclear and High Energy Physics. According to data from OpenAlex, M. L. Pretorius has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Astronomy and Astrophysics, 10 papers in Computational Mechanics and 7 papers in Nuclear and High Energy Physics. Recurrent topics in M. L. Pretorius's work include Astrophysical Phenomena and Observations (30 papers), Gamma-ray bursts and supernovae (27 papers) and Stellar, planetary, and galactic studies (12 papers). M. L. Pretorius is often cited by papers focused on Astrophysical Phenomena and Observations (30 papers), Gamma-ray bursts and supernovae (27 papers) and Stellar, planetary, and galactic studies (12 papers). M. L. Pretorius collaborates with scholars based in United Kingdom, South Africa and United States. M. L. Pretorius's co-authors include C. Knigge, P. A. Woudt, K. Mukai, Brian D. Warner, Ian Heywood, U. Kolb, R. P. Fender, Beatriz Agı́s-González, I. M. Monageng and K. D. Alexander and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

M. L. Pretorius

40 papers receiving 944 citations

Hit Papers

Nine-hour X-ray quasi-per... 2019 2026 2021 2023 2019 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. L. Pretorius 944 248 90 62 62 40 1.0k
S. R. Rosen 851 0.9× 272 1.1× 72 0.8× 75 1.2× 73 1.2× 58 873
R. S. Warwick 1.1k 1.2× 636 2.6× 42 0.5× 35 0.6× 69 1.1× 43 1.2k
T. J. Gaetz 850 0.9× 397 1.6× 72 0.8× 51 0.8× 27 0.4× 63 900
Simone Scaringi 957 1.0× 146 0.6× 77 0.9× 155 2.5× 88 1.4× 76 1.0k
S. S. Holt 1.1k 1.1× 475 1.9× 66 0.7× 62 1.0× 155 2.5× 56 1.1k
M. W. Pakull 1.1k 1.2× 336 1.4× 62 0.7× 59 1.0× 92 1.5× 73 1.2k
R. A. Downes 994 1.1× 213 0.9× 127 1.4× 155 2.5× 47 0.8× 65 1.0k
E. T. Harlaftis 830 0.9× 117 0.5× 63 0.7× 58 0.9× 135 2.2× 40 852
A. B. Hill 1.0k 1.1× 370 1.5× 73 0.8× 18 0.3× 136 2.2× 46 1.0k
L. Angelini 962 1.0× 258 1.0× 42 0.5× 33 0.5× 199 3.2× 80 988

Countries citing papers authored by M. L. Pretorius

Since Specialization
Citations

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

Fields of papers citing papers by M. L. Pretorius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. L. Pretorius

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

All Works

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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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