D.G. Martin

1.8k total citations · 1 hit paper
63 papers, 1.3k citations indexed

About

D.G. Martin is a scholar working on Materials Chemistry, Aerospace Engineering and Radiation. According to data from OpenAlex, D.G. Martin has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Materials Chemistry, 22 papers in Aerospace Engineering and 11 papers in Radiation. Recurrent topics in D.G. Martin's work include Nuclear Materials and Properties (20 papers), Nuclear reactor physics and engineering (17 papers) and Nuclear Physics and Applications (11 papers). D.G. Martin is often cited by papers focused on Nuclear Materials and Properties (20 papers), Nuclear reactor physics and engineering (17 papers) and Nuclear Physics and Applications (11 papers). D.G. Martin collaborates with scholars based in United Kingdom, France and United States. D.G. Martin's co-authors include John H. Harding, Ik‐Whan G. Kwon, Sung‐Ho Kim, R.O.A. Hall, Cesare Nardini, Frédéric van Wijland, Julien Tailleur, Michael E. Cates, Jérémy O’Byrne and Étienne Fodor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

D.G. Martin

61 papers receiving 1.3k citations

Hit Papers

Statistical mechanics of active Ornstein-Uhlenbeck particles 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.G. Martin United Kingdom 18 796 387 210 191 165 63 1.3k
W.G. Wolfer United States 30 1.6k 2.0× 247 0.6× 261 1.2× 42 0.2× 228 1.4× 80 2.4k
G. Ananthakrishna India 26 916 1.2× 161 0.4× 518 2.5× 64 0.3× 379 2.3× 130 2.1k
Ruslan L. Davidchack United Kingdom 26 1.2k 1.5× 162 0.4× 382 1.8× 29 0.2× 312 1.9× 70 2.1k
Alfred B. Bortz United States 7 1.0k 1.3× 82 0.2× 660 3.1× 43 0.2× 232 1.4× 16 2.1k
John R. Reitz United States 18 257 0.3× 99 0.3× 95 0.5× 39 0.2× 79 0.5× 52 1.1k
Y. Oishi Japan 22 873 1.1× 172 0.4× 53 0.3× 101 0.5× 17 0.1× 62 1.8k
X. G. Gong China 21 799 1.0× 52 0.1× 120 0.6× 95 0.5× 40 0.2× 58 1.5k
F. Baras France 29 587 0.7× 249 0.6× 175 0.8× 23 0.1× 599 3.6× 101 2.3k
Florian Kargl Germany 20 1.2k 1.5× 221 0.6× 204 1.0× 51 0.3× 17 0.1× 77 1.6k
M. Kobayashi Japan 29 1.5k 1.9× 125 0.3× 165 0.8× 48 0.3× 14 0.1× 158 2.8k

Countries citing papers authored by D.G. Martin

Since Specialization
Citations

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

Fields of papers citing papers by D.G. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.G. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of D.G. Martin. A scholar is included among the top collaborators of D.G. Martin 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.G. Martin. D.G. Martin 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.
Fruchart, Michel, et al.. (2025). Nonreciprocal Ising Model. Physical Review Letters. 134(11). 117103–117103. 16 indexed citations
2.
Fruchart, Michel, et al.. (2025). Dynamical phase transitions in the nonreciprocal Ising model. Physical review. E. 111(3). 34124–34124. 7 indexed citations
3.
Fruchart, Michel, et al.. (2025). Sociohydrodynamics: Data-driven modeling of social behavior. Proceedings of the National Academy of Sciences. 122(35). e2508692122–e2508692122. 1 indexed citations
4.
Jin, Tony & D.G. Martin. (2024). Measurement-induced phase transition in a single-body tight-binding model. Physical review. B.. 110(6). 10 indexed citations
5.
Jin, Tony & D.G. Martin. (2022). Kardar-Parisi-Zhang Physics and Phase Transition in a Classical Single Random Walker under Continuous Measurement. Physical Review Letters. 129(26). 260603–260603. 14 indexed citations
6.
Martin, D.G., Jérémy O’Byrne, Michael E. Cates, et al.. (2021). Statistical mechanics of active Ornstein-Uhlenbeck particles. Physical review. E. 103(3). 32607–32607. 162 indexed citations breakdown →
7.
Martin, D.G., et al.. (2021). AOUP in the presence of Brownian noise: a perturbative approach. Journal of Statistical Mechanics Theory and Experiment. 2021(4). 43205–43205. 17 indexed citations
8.
Kwon, Ik‐Whan G., Sung‐Ho Kim, & D.G. Martin. (2016). Healthcare supply chain management; strategic areas for quality and financial improvement. Technological Forecasting and Social Change. 113. 422–428. 100 indexed citations
9.
Cabrillo, C., F. J. Bermejo, María Álvarez, et al.. (2002). How Well Do We Know Atomic Motions of Simple Liquids?. Physical Review Letters. 89(7). 75508–75508. 35 indexed citations
10.
Mompeán, F. J., A. Chahid, D.G. Martin, & B. Ouladdiaf. (1998). Neutron-diffraction study of two organic liquids conducting under a low electric field. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 57(4). 4206–4210. 1 indexed citations
11.
Martin, D.G.. (1994). Computer simulation of recrystallisation and grain growth. Materials Science and Technology. 10(10). 855–861. 4 indexed citations
12.
Webber, D.M., Stephen J. Jones, & D.G. Martin. (1993). A model of the motion of a heavy gas cloud released on a uniform slope. Journal of Hazardous Materials. 33(1). 101–122. 36 indexed citations
13.
Bermejo, F. J., J. L. Martı́nez, M. Garcı́a-Hernández, et al.. (1991). Collective Low-Frequency Excitations in a Molecular Glass. Europhysics Letters (EPL). 15(5). 509–514. 15 indexed citations
14.
Harding, John H. & D.G. Martin. (1989). A recommendation for the thermal conductivity of UO2. Journal of Nuclear Materials. 166(3). 223–226. 95 indexed citations
15.
Nabielek, H. & D.G. Martin. (1984). Some studies of the failure of irradiated triso-coated fuel particles during their anneal at high temperatures. Journal of Nuclear Materials. 120(2-3). 345–348. 2 indexed citations
16.
Martin, D.G.. (1979). Some Calculations of the Failure Statistics of Coated Fuel Particles. Nuclear Technology. 42(3). 304–311. 3 indexed citations
17.
Parrish, Russell V. & D.G. Martin. (1975). Empirical comparison of a linear and a nonlinear washout for motion simulators. 6 indexed citations
18.
Martin, D.G.. (1973). An analytical method of calculating, to a reasonable accuracy, stresses in the coatings of htr fuel particles. Journal of Nuclear Materials. 48(1). 35–46. 5 indexed citations
19.
Parrish, Russell V., et al.. (1973). Coordinated adaptive washout for motion simulators. 8 indexed citations
20.
Martin, D.G.. (1961). The influence of impurity atoms on the annealing kinetics of electron irradiated copper. Philosophical magazine. 6(67). 839–846. 52 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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