M. Salem

23 total papers · 484 total citations
15 papers, 286 citations indexed

About

M. Salem is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, M. Salem has authored 15 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Astronomy and Astrophysics, 3 papers in Nuclear and High Energy Physics and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in M. Salem's work include Galaxies: Formation, Evolution, Phenomena (4 papers), Ionosphere and magnetosphere dynamics (3 papers) and Astrophysics and Cosmic Phenomena (3 papers). M. Salem is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (4 papers), Ionosphere and magnetosphere dynamics (3 papers) and Astrophysics and Cosmic Phenomena (3 papers). M. Salem collaborates with scholars based in United Kingdom, United States and Argentina. M. Salem's co-authors include Greg L. Bryan, Lauren Corlies, M. Brocklehurst, N. Gopalswamy, K. Shibasaki, M. J. Seaton, David J. Setton, Evan E. Schneider, Yong Zheng and Gurtina Besla and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Computer Physics Communications and The Astrophysical Journal Letters.

In The Last Decade

M. Salem

13 papers receiving 263 citations

Author Peers

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

Author						Papers	Cites
M. Salem	265	168	23	10	8	15	286
Willem A. Baan	237 0.9×	75 0.4×	28 1.2×	17 1.7×	8 1.0×	24	243
Graeme E. Addison	307 1.2×	147 0.9×	48 2.1×	4 0.4×	10 1.3×	18	329
Riccardo Pavesi	262 1.0×	88 0.5×	74 3.2×	9 0.9×	4 0.5×	13	301
C. J. Mayer	243 0.9×	181 1.1×	13 0.6×	8 0.8×	16 2.0×	17	272
M. D. Bicay	318 1.2×	82 0.5×	76 3.3×	9 0.9×	10 1.3×	21	324
R. Rekola	194 0.7×	89 0.5×	44 1.9×	8 0.8×	15 1.9×	10	209
C. Doom	218 0.8×	141 0.8×	49 2.1×	4 0.4×	6 0.8×	20	302
Luigi Iapichino	292 1.1×	82 0.5×	22 1.0×	10 1.0×	8 1.0×	14	310
Lauren Corlies	299 1.1×	109 0.6×	76 3.3×	5 0.5×	13 1.6×	9	311
Francesco Salvestrini	288 1.1×	85 0.5×	54 2.3×	12 1.2×	3 0.4×	18	302

Countries citing papers authored by M. Salem

Since Specialization

Citations

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

Fields of papers citing papers by M. Salem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Salem. A scholar is included among the top collaborators of M. Salem 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. Salem. M. Salem 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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