I. Galbraith

2.9k total citations
119 papers, 2.2k citations indexed

About

I. Galbraith is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, I. Galbraith has authored 119 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Atomic and Molecular Physics, and Optics, 48 papers in Electrical and Electronic Engineering and 17 papers in Materials Chemistry. Recurrent topics in I. Galbraith's work include Semiconductor Quantum Structures and Devices (72 papers), Quantum and electron transport phenomena (32 papers) and Spectroscopy and Quantum Chemical Studies (14 papers). I. Galbraith is often cited by papers focused on Semiconductor Quantum Structures and Devices (72 papers), Quantum and electron transport phenomena (32 papers) and Spectroscopy and Quantum Chemical Studies (14 papers). I. Galbraith collaborates with scholars based in United Kingdom, Germany and United States. I. Galbraith's co-authors include G. Duggan, L. Bányai, Hartmut Haug, C. Ell, C. R. Pidgeon, M. E. Portnoi, E. M. Wright, S. W. Koch, W. J. Firth and B. N. Murdin and has published in prestigious journals such as The Lancet, Physical Review Letters and Nature Communications.

In The Last Decade

I. Galbraith

118 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
I. Galbraith United Kingdom 29 1.7k 1.1k 489 266 133 119 2.2k
Stephen C. Rand United States 28 1.5k 0.9× 1.1k 1.0× 1.5k 3.0× 160 0.6× 88 0.7× 162 2.9k
T. Kobayashi Japan 22 792 0.5× 336 0.3× 329 0.7× 69 0.3× 37 0.3× 113 1.6k
Masato Morita Japan 23 732 0.4× 292 0.3× 221 0.5× 228 0.9× 74 0.6× 156 1.9k
Daniel Wegner Germany 28 994 0.6× 957 0.9× 527 1.1× 43 0.2× 151 1.1× 120 2.7k
I. Kelson Israel 29 998 0.6× 286 0.3× 190 0.4× 159 0.6× 113 0.8× 102 2.6k
Timothy M. Wilson United States 20 566 0.3× 361 0.3× 409 0.8× 61 0.2× 74 0.6× 57 1.5k
R. Frey France 23 989 0.6× 713 0.7× 329 0.7× 248 0.9× 81 0.6× 124 2.0k
Péter Mináry United States 20 534 0.3× 117 0.1× 339 0.7× 120 0.5× 74 0.6× 33 1.4k
A. Gallagher United States 21 1.4k 0.9× 753 0.7× 710 1.5× 363 1.4× 39 0.3× 40 2.3k
Hiroshi Takano Japan 20 312 0.2× 353 0.3× 344 0.7× 45 0.2× 308 2.3× 121 1.7k

Countries citing papers authored by I. Galbraith

Since Specialization
Citations

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

Fields of papers citing papers by I. Galbraith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Galbraith

This figure shows the co-authorship network connecting the top 25 collaborators of I. Galbraith. A scholar is included among the top collaborators of I. Galbraith 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 I. Galbraith. I. Galbraith 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.
Saeedi, K., S. G. Pavlov, A. F. G. van der Meer, et al.. (2021). Highly efficient THz four-wave mixing in doped silicon. Light Science & Applications. 10(1). 71–71. 8 indexed citations
2.
Galbraith, I., et al.. (2020). Properties of Conjugated Materials from Quantum Chemistry Coupled to Molecular Dynamics Generated Ensembles. The Journal of Physical Chemistry A. 124(51). 10667–10677. 1 indexed citations
3.
Paterson, Martin J., et al.. (2016). Molecular dynamics simulations for the study of optical properties in conjugated semiconducting molecules. Bulletin of the American Physical Society. 2016. 1 indexed citations
4.
Murdin, B. N., K. L. Litvinenko, S. K. Clowes, et al.. (2013). Si:P as a laboratory analogue for hydrogen on high magnetic field white dwarf stars. Nature Communications. 4(1). 1469–1469. 43 indexed citations
5.
Hedley, Gordon J., Arvydas Ruseckas, Stefan Schumacher, et al.. (2012). Dynamics of fluorescence depolarisation in star-shaped oligofluorene-truxene molecules. Physical Chemistry Chemical Physics. 14(25). 9176–9176. 33 indexed citations
6.
Nilsson, et al.. (2006). Linewidth Enhancement Factor of Quantum-Dot Optical Amplifiers. IEEE Journal of Quantum Electronics. 42(10). 986–993. 37 indexed citations
7.
Galbraith, I., et al.. (2006). Rapid hot-electron capture in self-assembled quantum dots via phonon processes. Applied Physics Letters. 89(15). 4 indexed citations
8.
Mazilu, Michaël, et al.. (2005). Wavelet transforms for optical pulse analysis. Journal of the Optical Society of America A. 22(12). 2890–2890. 4 indexed citations
9.
Galbraith, I., et al.. (2005). Homogeneous broadening in quantum dots due to Auger scattering with wetting layer carriers. Physical Review B. 72(20). 31 indexed citations
10.
Papageorgiou, G., Rama Chari, G. Brown, et al.. (2004). Spectral dependence of the optical Stark effect in ZnSe-based quantum wells. Physical Review B. 69(8). 4 indexed citations
11.
Galbraith, I., et al.. (2000). Influence of exchange scattering and dynamic screening on electron-electron scattering rates in semiconductor quantum wells. Physical review. B, Condensed matter. 62(23). 15327–15330. 6 indexed citations
12.
Dorak, M. Tevfik, et al.. (1995). A molecular analysis of the telomeric end of the major histocompatibility complex. Human Immunology. 42(1). 1–8. 2 indexed citations
13.
Galbraith, I., et al.. (1995). Screening effects in piezoelectric strained [111]-Grown (In, Ga) As/(Al, Ga) As quantum wells. Il Nuovo Cimento D. 17(11-12). 1595–1599. 3 indexed citations
14.
Mills, Ken, et al.. (1994). Homozygous MHC Genotypes and Longevity. Human Heredity. 44(5). 271–278. 15 indexed citations
15.
Dorak, M. Tevfik, Elizabeth Chalmers, Dairena Gaffney, et al.. (1994). Human Major Histocompatibility Complex Contains Several Leukemia Susceptibility Genes. Leukemia & lymphoma. 12(3-4). 211–222. 39 indexed citations
16.
Murphy, Elizabeth, et al.. (1993). The spectrum of disease associated with a positive ANCA. Clinical Rheumatology. 12(3). 327–331. 3 indexed citations
17.
Wright, E. M., W. J. Firth, & I. Galbraith. (1985). Beam propagation in a medium with a diffusive Kerr-type nonlinearity. Journal of the Optical Society of America B. 2(2). 383–383. 37 indexed citations
18.
Firth, W. J., E. Abraham, Ernest M. Wright, I. Galbraith, & B. S. Wherrett. (1984). Diffusion, diffraction and reflection in semiconductor o.b. devices. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 313(1525). 299–306. 17 indexed citations
19.
Sandilands, G. P., et al.. (1982). In vivo Modulation of Human Lymphocyte Fcγ-Receptors in Response to Oral Antigen (Cows’ Milk) Challenge. International Archives of Allergy and Immunology. 67(4). 344–350. 3 indexed citations
20.
MacSween, R. N. M., et al.. (1973). Phytohaemagglutinin (PHA) induced lymphocyte transformation and Toxoplasma gondii antibody studies in primary biliary cirrhosis. Evidence of impaired cell-mediated immunity.. PubMed. 15(1). 35–42. 23 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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