M. J. Rayson

2.7k total citations
94 papers, 2.2k citations indexed

About

M. J. Rayson is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M. J. Rayson has authored 94 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Materials Chemistry, 46 papers in Electrical and Electronic Engineering and 27 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. J. Rayson's work include Diamond and Carbon-based Materials Research (28 papers), Electronic and Structural Properties of Oxides (25 papers) and Semiconductor materials and devices (24 papers). M. J. Rayson is often cited by papers focused on Diamond and Carbon-based Materials Research (28 papers), Electronic and Structural Properties of Oxides (25 papers) and Semiconductor materials and devices (24 papers). M. J. Rayson collaborates with scholars based in United Kingdom, Sweden and Portugal. M. J. Rayson's co-authors include P. R. Briddon, P. R. Briddon, R. Jones, Jonathan P. Goss, M. I. Heggie, J. P. Goss, Chris Ewels, Alton B. Horsfall, S. J. Sque and C. D. Latham 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

M. J. Rayson

92 papers receiving 2.1k 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. J. Rayson United Kingdom 24 1.7k 761 569 362 246 94 2.2k
Michael Sternberg United States 23 1.7k 1.0× 778 1.0× 656 1.2× 316 0.9× 293 1.2× 44 2.3k
Jean‐Yves Raty Belgium 25 2.5k 1.5× 1.3k 1.8× 477 0.8× 321 0.9× 356 1.4× 66 2.9k
C. I. Pakes Australia 24 1.3k 0.8× 998 1.3× 626 1.1× 148 0.4× 203 0.8× 101 1.9k
Rickard Armiento Sweden 26 2.3k 1.4× 861 1.1× 865 1.5× 234 0.6× 206 0.8× 73 3.2k
Carlo Bradac Australia 24 1.8k 1.1× 569 0.7× 1.0k 1.8× 265 0.7× 605 2.5× 52 2.4k
Andrej Denisenko Germany 21 1.4k 0.9× 670 0.9× 730 1.3× 278 0.8× 187 0.8× 47 1.8k
R. W. Nunes Brazil 23 1.5k 0.9× 590 0.8× 1.0k 1.8× 108 0.3× 250 1.0× 57 2.2k
Zheyong Fan China 33 3.3k 2.0× 594 0.8× 420 0.7× 92 0.3× 289 1.2× 121 3.7k
W. F. Banholzer United States 30 2.5k 1.5× 654 0.9× 776 1.4× 859 2.4× 220 0.9× 55 3.1k
Maximilian Amsler Switzerland 28 2.2k 1.3× 525 0.7× 526 0.9× 356 1.0× 151 0.6× 61 2.8k

Countries citing papers authored by M. J. Rayson

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Rayson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. J. Rayson

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Rayson. A scholar is included among the top collaborators of M. J. Rayson 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. J. Rayson. M. J. Rayson 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.
Goss, Jonathan P., et al.. (2024). Density functional theory study of iron defects in diamond. Diamond and Related Materials. 148. 111332–111332.
2.
Goss, Jonathan P., et al.. (2021). Structure and electron affinity of the 4H–SiC (0001) surfaces: a methodological approach for polar systems. Journal of Physics Condensed Matter. 33(16). 165003–165003. 7 indexed citations
3.
Goss, Jonathan P., et al.. (2019). Structure and electron affinity of silicon and germanium terminated (0 0 1)-(2  ×  1) diamond surface. Journal of Physics Condensed Matter. 31(39). 395001–395001. 6 indexed citations
4.
Goss, Jonathan P., et al.. (2019). First Principles Study of the Stability and Diffusion Mechanism of a Carbon Vacancy in the Vicinity of a SiO2/4H–SiC Interface. physica status solidi (a). 216(17). 2 indexed citations
5.
Oyarzun, A., C. D. Latham, Ljubis̆a R. Radović, P. R. Briddon, & M. J. Rayson. (2018). Spin density distributions on graphene clusters and ribbons with carbene-like active sites. Physical Chemistry Chemical Physics. 20(42). 26968–26978. 9 indexed citations
6.
Torres, V. J. B., et al.. (2017). 中程度の(Ge,Si)含有量でのGeSi Ramanスペクトルに対するクラスタ化/反クラスタ化の効果:パーコレーションスキーム対ab initio計算. Journal of Applied Physics. 121(8). 12. 2 indexed citations
7.
Trevethan, T., et al.. (2017). Interlayer vacancy defects in AA-stacked bilayer graphene: density functional theory predictions. Journal of Physics Condensed Matter. 29(15). 155304–155304. 16 indexed citations
8.
Torres, V. J. B., et al.. (2017). Clustering/anticlustering effects on the GeSi Raman spectra at moderate (Ge,Si) contents: Percolation scheme vs. ab initio calculations. Journal of Applied Physics. 121(8). 7 indexed citations
9.
Kioseoglou, Joseph, Th. Kehagias, Ph. Komninou, et al.. (2015). Structural and electronic properties of GaN nanowires with embedded InxGa1−xN nanodisks. Journal of Applied Physics. 118(3). 10 indexed citations
10.
Zhachuk, R. A., J. Coutinho, M. J. Rayson, & P. R. Briddon. (2015). Buckling of reconstruction elements of the edges of triple steps on vicinal Si(111) surfaces. Journal of Experimental and Theoretical Physics. 120(4). 632–637.
11.
Latham, C. D., et al.. (2015). On the validity of empirical potentials for simulating radiation damage in graphite: a benchmark. Journal of Physics Condensed Matter. 27(31). 316301–316301. 23 indexed citations
12.
Goss, J. P., et al.. (2015). Di‐nitrogen–vacancy–hydrogen defects in diamond: a computational study. physica status solidi (a). 212(11). 2616–2620. 14 indexed citations
13.
Goss, Jonathan P., et al.. (2014). Identification of the structure of the 3107 cm−1H-related defect in diamond. Journal of Physics Condensed Matter. 26(14). 145801–145801. 97 indexed citations
14.
Carvalho, Alexandra, Sven Öberg, M. J. Rayson, & P. R. Briddon. (2013). Increased Electronic Coupling in Silicon Nanocrystal Networks Doped with F<SUB>4</SUB>-TCNQ. Journal of Nanoscience and Nanotechnology. 13(2). 1035–1038. 1 indexed citations
15.
Trevethan, T., C. D. Latham, M. I. Heggie, et al.. (2013). Extended Interplanar Linking in Graphite Formed from Vacancy Aggregates. Physical Review Letters. 111(9). 95501–95501. 38 indexed citations
16.
Wagner, Philipp, V. V. Ivanovskaya, M. J. Rayson, P. R. Briddon, & Chris Ewels. (2013). Mechanical properties of nanosheets and nanotubes investigated using a new geometry independent volume definition. Journal of Physics Condensed Matter. 25(15). 155302–155302. 38 indexed citations
17.
Ivanovskaya, V. V., Alberto Zobelli, Philipp Wagner, et al.. (2011). Low-Energy Termination of Graphene Edges via the Formation of Narrow Nanotubes. Physical Review Letters. 107(6). 65502–65502. 46 indexed citations
18.
Маркевич, В. П., А. R. Peaker, B. Hamilton, et al.. (2011). Tin-vacancy complex in germanium. Journal of Applied Physics. 109(8). 29 indexed citations
19.
Rayson, M. J.. (2007). Lagrange-Lobatto interpolating polynomials in the discrete variable representation. Physical Review E. 76(2). 26704–26704. 41 indexed citations
20.

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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