Malcolm Abbott

4.7k total citations
161 papers, 3.9k citations indexed

About

Malcolm Abbott is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Malcolm Abbott has authored 161 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 154 papers in Electrical and Electronic Engineering, 46 papers in Atomic and Molecular Physics, and Optics and 32 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Malcolm Abbott's work include Silicon and Solar Cell Technologies (137 papers), Thin-Film Transistor Technologies (93 papers) and Semiconductor materials and interfaces (43 papers). Malcolm Abbott is often cited by papers focused on Silicon and Solar Cell Technologies (137 papers), Thin-Film Transistor Technologies (93 papers) and Semiconductor materials and interfaces (43 papers). Malcolm Abbott collaborates with scholars based in Australia, United States and China. Malcolm Abbott's co-authors include Brett Hallam, Stuart Wenham, Catherine Chan, Thorsten Trupke, R.A. Bardos, J.E. Cotter, Phillip Hamer, Alison Ciesla, D.N. Payne and Daniel Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Malcolm Abbott

159 papers receiving 3.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Malcolm Abbott 3.7k 1.2k 804 670 281 161 3.9k
Ronald A. Sinton 3.7k 1.0× 1.3k 1.1× 592 0.7× 946 1.4× 305 1.1× 96 3.8k
Jan Bauer 2.1k 0.6× 517 0.4× 776 1.0× 421 0.6× 319 1.1× 88 2.4k
Mikio Taguchi 4.0k 1.1× 1.1k 1.0× 459 0.6× 1.7k 2.5× 490 1.7× 36 4.2k
R. Preu 3.2k 0.9× 996 0.8× 441 0.5× 747 1.1× 377 1.3× 210 3.3k
Eiji Maruyama 3.2k 0.9× 899 0.8× 391 0.5× 1.3k 2.0× 430 1.5× 40 3.4k
Ziv Hameiri 3.5k 0.9× 708 0.6× 509 0.6× 1.6k 2.4× 153 0.5× 241 3.7k
Jozef Szlufcik 1.7k 0.5× 470 0.4× 194 0.2× 693 1.0× 462 1.6× 154 1.9k
Ignacio Rey‐Stolle 2.0k 0.5× 806 0.7× 529 0.7× 359 0.5× 378 1.3× 158 2.3k
Felix Haase 1.8k 0.5× 730 0.6× 232 0.3× 454 0.7× 232 0.8× 63 1.9k
Dominik Lausch 1.5k 0.4× 209 0.2× 741 0.9× 251 0.4× 154 0.5× 51 1.6k

Countries citing papers authored by Malcolm Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm Abbott

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm Abbott. A scholar is included among the top collaborators of Malcolm Abbott 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 Malcolm Abbott. Malcolm Abbott 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.
McIntosh, Keith R., et al.. (2024). Error in the Yield Forecast of c-Si Systems Due to Spectral Effects. 1279–1283. 1 indexed citations
2.
Trupke, Thorsten, R.A. Bardos, Malcolm Abbott, et al.. (2022). Progress with luminescence imaging for the characterisation of silicon wafers and solar cells. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2 indexed citations
3.
Zhang, Yu, Charlie Kong, Giuseppe Scardera, et al.. (2021). Large volume tomography using plasma FIB-SEM: A comprehensive case study on black silicon. Ultramicroscopy. 233. 113458–113458. 5 indexed citations
4.
Zhang, Yu, Charlie Kong, Giuseppe Scardera, et al.. (2020). 3D characterisation using plasma FIB-SEM: A large-area tomography technique for complex surfaces like black silicon. Ultramicroscopy. 218. 113084–113084. 10 indexed citations
5.
6.
Rey, Germain, Thorsten Trupke, Kaiwen Sun, et al.. (2019). Photoluminescence-Based Method for Imaging Buffer Layer Thickness in CIGS Solar Cells. IEEE Journal of Photovoltaics. 10(1). 181–187. 3 indexed citations
7.
Sen, Chandany, Moonyong Kim, Daniel Chen, et al.. (2018). Assessing the Impact of Thermal Profiles on the Elimination of Light- and Elevated-Temperature-Induced Degradation. IEEE Journal of Photovoltaics. 9(1). 40–48. 23 indexed citations
8.
Chen, Daniel, Phillip Hamer, Moonyong Kim, et al.. (2018). Hydrogen induced degradation: A possible mechanism for light- and elevated temperature- induced degradation in n-type silicon. Solar Energy Materials and Solar Cells. 185. 174–182. 97 indexed citations
9.
Hallam, Brett, Daniel Chen, Moonyong Kim, et al.. (2017). The role of hydrogenation and gettering in enhancing the efficiency of next‐generation Si solar cells: An industrial perspective. physica status solidi (a). 214(7). 73 indexed citations
10.
Hallam, Brett, Axel Herguth, Phillip Hamer, et al.. (2017). Eliminating Light-Induced Degradation in Commercial p-Type Czochralski Silicon Solar Cells. Applied Sciences. 8(1). 10–10. 74 indexed citations
11.
Hamer, Phillip, Nitin Nampalli, Ziv Hameiri, et al.. (2016). Boron-Oxygen Defect Formation Rates and Activity at Elevated Temperatures. Energy Procedia. 92. 791–800. 18 indexed citations
12.
Hallam, Brett, Malcolm Abbott, José I. Bilbao, et al.. (2016). Modelling Kinetics of the Boron-Oxygen Defect System. Energy Procedia. 92. 42–51. 21 indexed citations
13.
Nampalli, Nitin, Brett Hallam, Catherine Chan, Malcolm Abbott, & Stuart Wenham. (2015). Influence of Hydrogen on the Mechanism of Permanent Passivation of Boron–Oxygen Defects in p-Type Czochralski Silicon. IEEE Journal of Photovoltaics. 5(6). 1580–1585. 27 indexed citations
14.
Hamer, Phillip, Brett Hallam, Stuart Wenham, & Malcolm Abbott. (2014). Manipulation of Hydrogen Charge States for Passivation of P-Type Wafers in Photovoltaics. IEEE Journal of Photovoltaics. 4(5). 1252–1260. 62 indexed citations
15.
McIntosh, Keith R., et al.. (2014). Spectral Mismatch in Modern Solar Simulators. EU PVSEC. 3443–3446. 4 indexed citations
16.
Hallam, Brett, Stuart Wenham, Phillip Hamer, et al.. (2013). Hydrogen Passivation of B-O Defects in Czochralski Silicon. Energy Procedia. 38. 561–570. 69 indexed citations
17.
Fell, Andreas, Keith R. McIntosh, Malcolm Abbott, & Daniel Walter. (2013). Quokka version 2: selective surface doping, luminescence modeling and data fitting. 20 indexed citations
18.
Meisel, A., et al.. (2010). Impact of metal contact misalignment in silicon ink selective emitter solar cells. 1456–1460. 6 indexed citations
19.
Abbott, Malcolm, J.E. Cotter, Thorsten Trupke, K. Fisher, & R.A. Bardos. (2006). Application of Photoluminescence to High-Efficiency Silicon Solar Cell Fabrication. 1211–1214. 9 indexed citations
20.
Trupke, Thorsten, R.A. Bardos, & Malcolm Abbott. (2005). Self-consistent calibration of photoluminescence and photoconductance lifetime measurements. Applied Physics Letters. 87(18). 107 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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