Michael P. Salem

587 total citations
20 papers, 370 citations indexed

About

Michael P. Salem is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Statistical and Nonlinear Physics. According to data from OpenAlex, Michael P. Salem has authored 20 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nuclear and High Energy Physics, 10 papers in Astronomy and Astrophysics and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Michael P. Salem's work include Cosmology and Gravitation Theories (10 papers), Galaxies: Formation, Evolution, Phenomena (6 papers) and Black Holes and Theoretical Physics (6 papers). Michael P. Salem is often cited by papers focused on Cosmology and Gravitation Theories (10 papers), Galaxies: Formation, Evolution, Phenomena (6 papers) and Black Holes and Theoretical Physics (6 papers). Michael P. Salem collaborates with scholars based in United States, Lebanon and Japan. Michael P. Salem's co-authors include Andrea De Simone, Alexander Vilenkin, Alan H. Guth, Taizan Watari, Michael L. Graesser, Andrei Linde, Mahdiyar Noorbala, C. Bauer, Lawrence J. Hall and Lawrence J. Hall and has published in prestigious journals such as Physical Review Letters, Journal of High Energy Physics and Engineering Construction & Architectural Management.

In The Last Decade

Michael P. Salem

18 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael P. Salem United States 11 264 242 66 38 24 20 370
Lorenzo Menculini Italy 6 67 0.3× 110 0.5× 95 1.4× 19 0.5× 3 0.1× 9 215
Mahbub Majumdar Bangladesh 6 409 1.5× 391 1.6× 33 0.5× 16 0.4× 10 471
Tim Gebbie South Africa 8 95 0.4× 66 0.3× 61 0.9× 30 0.8× 2 0.1× 27 277
Wei-Min Yang China 11 18 0.1× 214 0.9× 22 0.3× 8 0.2× 2 0.1× 37 350
D. M. Skowron Poland 11 460 1.7× 55 0.2× 9 0.1× 12 0.3× 2 0.1× 28 506
Seokcheon Lee South Korea 11 421 1.6× 284 1.2× 44 0.7× 3 0.1× 48 463
Ivano Basile Germany 13 204 0.8× 246 1.0× 107 1.6× 5 0.1× 24 296
O. V. Teryaev Russia 12 32 0.1× 483 2.0× 87 1.3× 11 0.3× 33 510
Andrew D. Bond United Kingdom 10 61 0.2× 291 1.2× 45 0.7× 8 0.2× 12 297
Biswajit Sahoo India 8 220 0.8× 216 0.9× 51 0.8× 3 0.1× 12 274

Countries citing papers authored by Michael P. Salem

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Salem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael P. Salem

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Salem. A scholar is included among the top collaborators of Michael P. 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 Michael P. Salem. Michael P. Salem 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.
Salem, Michael P., et al.. (2021). Taking the microcontrollers lab online: Lessons learned. IEEE Potentials. 40(5). 21–26. 1 indexed citations
2.
Salem, Michael P.. (2019). IEEE Membership: An Investment in Student Potential. IEEE Potentials. 38(6). 16–18.
3.
Salem, Michael P.. (2018). Remembering Claude Shannon [Essay]. IEEE Potentials. 37(1). 7–8.
4.
Salem, Michael P., et al.. (2017). A deterministic contractor selection decision support system for competitive bidding. Engineering Construction & Architectural Management. 24(1). 61–77. 50 indexed citations
5.
Salem, Michael P.. (2013). Multiverse rate equation including bubble collisions. Physical review. D. Particles, fields, gravitation, and cosmology. 87(6). 2 indexed citations
6.
Salem, Michael P.. (2012). The CMB and the measure of the multiverse. Journal of High Energy Physics. 2012(6). 5 indexed citations
7.
Salem, Michael P. & Alexander Vilenkin. (2011). Phenomenology of the CAH+ measure. Physical review. D. Particles, fields, gravitation, and cosmology. 84(12). 5 indexed citations
8.
Simone, Andrea De & Michael P. Salem. (2010). Distribution ofΩkfrom the scale-factor cutoff measure. Physical review. D. Particles, fields, gravitation, and cosmology. 81(8). 16 indexed citations
9.
Salem, Michael P.. (2010). Signature of anisotropic bubble collisions. Physical review. D. Particles, fields, gravitation, and cosmology. 82(6). 4 indexed citations
10.
Simone, Andrea De, Alan H. Guth, Andrei Linde, et al.. (2010). Boltzmann brains and the scale-factor cutoff measure of the multiverse. Physical review. D. Particles, fields, gravitation, and cosmology. 82(6). 64 indexed citations
11.
Hall, Lawrence J., Michael P. Salem, & Taizan Watari. (2009). Neutrino mixing and mass hierarchy in Gaussian landscapes. Physical review. D. Particles, fields, gravitation, and cosmology. 79(2). 9 indexed citations
12.
Salem, Michael P.. (2009). Negative vacuum energy densities and the causal diamond measure. Physical review. D. Particles, fields, gravitation, and cosmology. 80(2). 15 indexed citations
13.
Hall, Lawrence J., Michael P. Salem, & Taizan Watari. (2008). Quark and Lepton Masses from Gaussian Landscapes. Physical Review Letters. 100(14). 141801–141801. 17 indexed citations
14.
Simone, Andrea De, Alan H. Guth, Michael P. Salem, & Alexander Vilenkin. (2008). Predicting the cosmological constant with the scale-factor cutoff measure. Physical review. D. Particles, fields, gravitation, and cosmology. 78(6). 66 indexed citations
15.
Graesser, Michael L. & Michael P. Salem. (2007). Scale of gravity and the cosmological constant within a landscape. Physical review. D. Particles, fields, gravitation, and cosmology. 76(4). 16 indexed citations
16.
Hall, Lawrence J., Michael P. Salem, & Taizan Watari. (2007). Statistical understanding of quark and lepton masses in Gaussian landscapes. Physical review. D. Particles, fields, gravitation, and cosmology. 76(9). 21 indexed citations
17.
Salem, Michael P.. (2005). Generation of density perturbations at the end of inflation. Physical review. D. Particles, fields, gravitation, and cosmology. 72(12). 43 indexed citations
18.
Bauer, C., Michael L. Graesser, & Michael P. Salem. (2005). Fluctuating annihilation cross sections and the generation of density perturbations. Physical review. D. Particles, fields, gravitation, and cosmology. 72(2). 18 indexed citations
19.
Bauer, C., M. P. Dorsten, & Michael P. Salem. (2004). Infrared regulators in soft-collinear effective theory. Physical review. D. Particles, fields, gravitation, and cosmology. 69(11). 15 indexed citations
20.
Salem, Michael P. & Tanmay Vachaspati. (2002). Band structure in classical field theory. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 66(2). 3 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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