D. Mahon

2.2k total citations
15 papers, 144 citations indexed

About

D. Mahon is a scholar working on Nuclear and High Energy Physics, Radiation and Mechanics of Materials. According to data from OpenAlex, D. Mahon has authored 15 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nuclear and High Energy Physics, 12 papers in Radiation and 2 papers in Mechanics of Materials. Recurrent topics in D. Mahon's work include Particle Detector Development and Performance (13 papers), Radiation Detection and Scintillator Technologies (12 papers) and Particle physics theoretical and experimental studies (7 papers). D. Mahon is often cited by papers focused on Particle Detector Development and Performance (13 papers), Radiation Detection and Scintillator Technologies (12 papers) and Particle physics theoretical and experimental studies (7 papers). D. Mahon collaborates with scholars based in United Kingdom, Italy and Germany. D. Mahon's co-authors include R. Kaiser, C. Shearer, D. G. Ireland, S. Gardner, M. J. Ryan, M. Murray, D. Hamilton, C.H. Zimmerman, T. Keri and M. Hoek and has published in prestigious journals such as SHILAP Revista de lepidopterología, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

D. Mahon

15 papers receiving 136 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Mahon United Kingdom 8 124 85 25 17 14 15 144
C. Shearer United Kingdom 8 115 0.9× 81 1.0× 19 0.8× 16 0.9× 6 0.4× 13 134
S. Gardner United Kingdom 5 69 0.6× 53 0.6× 18 0.7× 13 0.8× 13 0.9× 8 93
E. Guardincerri United States 8 133 1.1× 93 1.1× 21 0.8× 20 1.2× 7 0.5× 22 165
L. Viliani Italy 6 82 0.7× 50 0.6× 16 0.6× 6 0.4× 23 1.6× 14 112
D. J. Morley United States 6 91 0.7× 61 0.7× 11 0.4× 10 0.6× 3 0.2× 10 123
Jeffrey Bacon United States 10 212 1.7× 158 1.9× 50 2.0× 27 1.6× 5 0.4× 20 240
J. M. Durham United States 7 130 1.0× 93 1.1× 19 0.8× 18 1.1× 5 0.4× 19 147
S. Procureur France 10 200 1.6× 149 1.8× 24 1.0× 22 1.3× 3 0.2× 24 218
W. Ding China 7 55 0.4× 64 0.8× 8 0.3× 7 0.4× 5 0.4× 17 112
J. Burns United Kingdom 6 62 0.5× 41 0.5× 16 0.6× 14 0.8× 8 0.6× 11 97

Countries citing papers authored by D. Mahon

Since Specialization
Citations

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

Fields of papers citing papers by D. Mahon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Mahon

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

All Works

15 of 15 papers shown
1.
Mahon, D., et al.. (2025). Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications. Particles. 8(1). 33–33. 1 indexed citations
2.
Niederleithinger, Ernst, et al.. (2022). Muon tomography applied to assessment of concrete structures: First experiments and simulations. e-Journal of Nondestructive Testing. 27(9). 1 indexed citations
3.
Niederleithinger, Ernst, S. Gardner, R. Kaiser, et al.. (2021). Muon Tomography of the Interior of a Reinforced Concrete Block: First Experimental Proof of Concept. Journal of Nondestructive Evaluation. 40(3). 16 indexed citations
4.
Gardner, S., et al.. (2020). Muon tomography for the analysis of in-container vitrified products. Applied Radiation and Isotopes. 157. 109033–109033. 6 indexed citations
5.
Gardner, S., D. G. Ireland, R. Kaiser, et al.. (2018). Novel muon imaging techniques. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 377(2137). 20180062–20180062. 10 indexed citations
6.
Mahon, D., S. Gardner, D. G. Ireland, et al.. (2018). First-of-a-kind muography for nuclear waste characterization. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 377(2137). 20180048–20180048. 21 indexed citations
7.
D’Alessandro, R., F. Ambrosino, L. Bonechi, et al.. (2017). Muography applied to nuclear waste storage sites. Annals of Geophysics. 60(1). S0106–S0106. 1 indexed citations
8.
Mōri, N., F. Ambrosino, L. Bonechi, et al.. (2016). Feasibility study of detection of high-Z material in nuclear waste storage facilities with atmosperic muons. Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015). 563–563. 1 indexed citations
9.
Ireland, D. G., et al.. (2015). Characterising encapsulated nuclear waste using cosmic-ray Muon Tomography (MT). ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1–7. 6 indexed citations
10.
Hamilton, D., M. Hoek, D. G. Ireland, et al.. (2015). Application of muon tomography to encapsulated nuclear waste. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1359–1362. 1 indexed citations
11.
Ambrosino, F., L. Bonechi, Luigi Cimmino, et al.. (2015). Assessing the feasibility of interrogating nuclear waste storage silos using cosmic-ray muons. Journal of Instrumentation. 10(6). T06005–T06005. 16 indexed citations
12.
Kaiser, R., D. Hamilton, M. Hoek, et al.. (2014). A Prototype Scintillating-Fibre Tracker for the Cosmic-ray Muon Tomography of Legacy Nuclear Waste Containers. SHILAP Revista de lepidopterología. 66. 10005–10005. 9 indexed citations
13.
Hamilton, D., M. Hoek, D. G. Ireland, et al.. (2014). GEANT4 simulation of a scintillating-fibre tracker for the cosmic-ray muon tomography of legacy nuclear waste containers. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 746. 64–73. 24 indexed citations
14.
Hamilton, D., M. Hoek, D. G. Ireland, et al.. (2014). The design and performance of a scintillating-fibre tracker for the cosmic-ray muon tomography of legacy nuclear waste containers. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 745. 138–149. 20 indexed citations
15.
Mahon, D., D. Hamilton, M. Hoek, et al.. (2013). A prototype scintillating-fibre tracker for the cosmic-ray muon tomography of legacy nuclear waste containers. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 732. 408–411. 11 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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2026