M. C. David Marsh

1.6k total citations
29 papers, 847 citations indexed

About

M. C. David Marsh is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Finance. According to data from OpenAlex, M. C. David Marsh has authored 29 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Nuclear and High Energy Physics, 20 papers in Astronomy and Astrophysics and 3 papers in Finance. Recurrent topics in M. C. David Marsh's work include Dark Matter and Cosmic Phenomena (15 papers), Cosmology and Gravitation Theories (14 papers) and Astrophysics and Cosmic Phenomena (9 papers). M. C. David Marsh is often cited by papers focused on Dark Matter and Cosmic Phenomena (15 papers), Cosmology and Gravitation Theories (14 papers) and Astrophysics and Cosmic Phenomena (9 papers). M. C. David Marsh collaborates with scholars based in United Kingdom, Sweden and United States. M. C. David Marsh's co-authors include Kenneth T. Jackson, Joseph P. Conlon, Peter N. Stearns, C. S. Reynolds, Pierluca Carenza, James Matthews, Markus Rummel, H. R. Russell, Michele Cicoli and Ricardo Z. Ferreira and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

M. C. David Marsh

29 papers receiving 807 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. C. David Marsh United Kingdom 14 464 393 162 65 57 29 847
M. Punch France 13 282 0.6× 201 0.5× 98 0.6× 19 0.3× 45 0.8× 45 469
J. A. Goodman United States 18 413 0.9× 511 1.3× 139 0.9× 145 2.2× 6 0.1× 70 1.4k
Mark Wyman United States 25 1.4k 2.9× 1.7k 4.3× 160 1.0× 23 0.4× 6 0.1× 52 2.0k
Peter Richardson United Kingdom 21 2.4k 5.1× 410 1.0× 254 1.6× 27 0.4× 13 0.2× 98 2.9k
Nilanjan Banik India 14 159 0.3× 326 0.8× 41 0.3× 87 1.3× 5 0.1× 44 542
Robert A. Baade United States 23 73 0.2× 290 0.7× 1.6k 9.8× 981 15.1× 63 1.1× 52 2.2k
M. van der Klis Netherlands 11 96 0.2× 396 1.0× 119 0.7× 5 0.1× 24 0.4× 17 574
Peter Dawson Canada 18 20 0.0× 290 0.7× 108 0.7× 100 1.5× 26 0.5× 75 920
S. A. Stephens India 20 916 2.0× 566 1.4× 119 0.7× 26 0.4× 7 0.1× 100 1.5k
James Hughes United Kingdom 21 101 0.2× 51 0.1× 292 1.8× 87 1.3× 9 0.2× 61 1.1k

Countries citing papers authored by M. C. David Marsh

Since Specialization
Citations

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

Fields of papers citing papers by M. C. David Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. C. David Marsh

This figure shows the co-authorship network connecting the top 25 collaborators of M. C. David Marsh. A scholar is included among the top collaborators of M. C. David Marsh 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. C. David Marsh. M. C. David Marsh 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.
Carenza, Pierluca, et al.. (2024). Axion relic pockets — a theory of dark matter. Journal of High Energy Physics. 2024(9). 1 indexed citations
2.
Carenza, Pierluca, et al.. (2024). Supernova limits on QCD axionlike particles. Physical review. D. 110(4). 12 indexed citations
3.
Carenza, Pierluca, et al.. (2023). Magnetohydrodynamics predicts heavy-tailed distributions of axion-photon conversion. Physical review. D. 108(10). 1 indexed citations
4.
Calore, Francesca, et al.. (2023). Investigating the gamma-ray burst from decaying MeV-scale axion-like particles produced in supernova explosions. Journal of Cosmology and Astroparticle Physics. 2023(7). 56–56. 23 indexed citations
5.
Carenza, Pierluca & M. C. David Marsh. (2023). On the applicability of the Landau-Zener formula to axion-photon conversion. Journal of Cosmology and Astroparticle Physics. 2023(4). 21–21. 10 indexed citations
6.
Reynolds, C. S., et al.. (2023). Physics Beyond the Standard Model with Future X-Ray Observatories: Projected Constraints on Very-light Axion-like Particles with Athena and AXIS. The Astrophysical Journal. 951(1). 5–5. 2 indexed citations
7.
Matthews, James, et al.. (2021). New constraints on light axion-like particles using Chandra transmission grating spectroscopy of the powerful cluster-hosted quasar H1821+643. Monthly Notices of the Royal Astronomical Society. 510(1). 1264–1277. 63 indexed citations
8.
Marsh, M. C. David, James Matthews, C. S. Reynolds, & Pierluca Carenza. (2021). The Fourier formalism for relativistic axion-photon conversion, with astrophysical applications. arXiv (Cornell University). 23 indexed citations
9.
Marsh, M. C. David. (2019). The Pursuit of Parenthood. Johns Hopkins University Press eBooks. 3 indexed citations
10.
Marsh, M. C. David. (2018). The swampland, quintessence and the vacuum energy. Physics Letters B. 789. 639–642. 47 indexed citations
11.
Marsh, M. C. David. (2017). Exacerbating the Cosmological Constant Problem with Interacting Dark Energy Models. Physical Review Letters. 118(1). 11302–11302. 21 indexed citations
12.
Marsh, M. C. David, et al.. (2017). A new class of de Sitter vacua in type IIB large volume compactifications. Apollo (University of Cambridge). 32 indexed citations
13.
Dias, Mafalda, Jonathan Frazer, & M. C. David Marsh. (2016). Simple Emergent Power Spectra from Complex Inflationary Physics. Physical Review Letters. 117(14). 141303–141303. 13 indexed citations
14.
Conlon, Joseph P., et al.. (2016). Galaxy cluster thermal x-ray spectra constrain axionlike particles. Physical review. D. 93(12). 20 indexed citations
15.
Marsh, M. C. David, et al.. (2016). Universal properties of type IIB and F-theory flux compactifications at large complex structure. Journal of High Energy Physics. 2016(3). 12 indexed citations
16.
Frey, Andrew R., et al.. (2016). Dimensional reduction for D3-brane moduli. Journal of High Energy Physics. 2016(12). 8 indexed citations
17.
Cicoli, Michele, Joseph P. Conlon, M. C. David Marsh, & Markus Rummel. (2014). 3.55 keV photon line and its morphology from a 3.55 keV axionlike particle line. Physical review. D. Particles, fields, gravitation, and cosmology. 90(2). 66 indexed citations
18.
Conlon, Joseph P. & M. C. David Marsh. (2013). Excess Astrophysical Photons from a 0.1–1 keV Cosmic Axion Background. Physical Review Letters. 111(15). 151301–151301. 52 indexed citations
19.
Marsh, M. C. David. (1999). The Empty Cradle. Johns Hopkins University Press eBooks. 15 indexed citations
20.
Marsh, Herbert W., et al.. (1988). The Transition from Single-Sex to Coeducational High Schools: Effects on Multiple Dimensions of Self-Concept and on Academic Achievement. American Educational Research Journal. 25(2). 237–237. 2 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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