M. Python

793 total citations
18 papers, 624 citations indexed

About

M. Python is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, M. Python has authored 18 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 14 papers in Electrical and Electronic Engineering and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in M. Python's work include Thin-Film Transistor Technologies (12 papers), Silicon and Solar Cell Technologies (12 papers) and Silicon Nanostructures and Photoluminescence (11 papers). M. Python is often cited by papers focused on Thin-Film Transistor Technologies (12 papers), Silicon and Solar Cell Technologies (12 papers) and Silicon Nanostructures and Photoluminescence (11 papers). M. Python collaborates with scholars based in Switzerland and Germany. M. Python's co-authors include Christophe Ballif, D. Dominé, E. Vallat‐Sauvain, Fanny Meillaud, T. Söderström, J. Bailat, Andreas Schüler, Arvind Shah, L. Fesquet and Franz‐Josef Haug and has published in prestigious journals such as Journal of Applied Physics, Solar Energy and Solar Energy Materials and Solar Cells.

In The Last Decade

M. Python

18 papers receiving 594 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. Python Switzerland 12 534 349 111 104 52 18 624
C. Bucher Switzerland 10 602 1.1× 457 1.3× 68 0.6× 62 0.6× 26 0.5× 17 682
Piotr Kowalczewski Italy 9 552 1.0× 260 0.7× 175 1.6× 75 0.7× 59 1.1× 23 659
Takashi Suezaki Japan 13 711 1.3× 438 1.3× 115 1.0× 81 0.8× 24 0.5× 25 793
J.M. Asensi Spain 13 590 1.1× 348 1.0× 100 0.9× 105 1.0× 23 0.4× 58 680
W. Dimassi Tunisia 13 297 0.6× 262 0.8× 132 1.2× 87 0.8× 12 0.2× 36 421
Jared S. Price United States 8 338 0.6× 147 0.4× 47 0.4× 97 0.9× 43 0.8× 18 409
Xia Yan Singapore 13 289 0.5× 238 0.7× 80 0.7× 56 0.5× 14 0.3× 28 428
Daniel Inns Australia 11 440 0.8× 231 0.7× 96 0.9× 49 0.5× 19 0.4× 36 474
Porponth Sichanugrist Japan 14 618 1.2× 426 1.2× 112 1.0× 59 0.6× 22 0.4× 75 669
Masashi Yoshimi Japan 15 983 1.8× 660 1.9× 123 1.1× 95 0.9× 27 0.5× 42 1.0k

Countries citing papers authored by M. Python

Since Specialization
Citations

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

Fields of papers citing papers by M. Python

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Python

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

All Works

18 of 18 papers shown
1.
Python, M., et al.. (2015). Optical and structural analysis of sol–gel derived Cu–Co–Mn–Si oxides for black selective solar nanocomposite multilayered coatings. Solar Energy Materials and Solar Cells. 143. 573–580. 19 indexed citations
3.
Python, M., et al.. (2013). Energy-Efficient Sol-Gel Process for Production of Nanocomposite Absorber Coatings for Tubular Solar Thermal Collectors. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 11–16. 2 indexed citations
4.
Python, M., et al.. (2013). Novel black selective coating for tubular solar absorbers based on a sol–gel method. Solar Energy. 94. 233–239. 56 indexed citations
5.
Meillaud, Fanny, A. Feltrin, Matthieu Despeisse, et al.. (2010). Realization of high efficiency micromorph tandem silicon solar cells on glass and plastic substrates: Issues and potential. Solar Energy Materials and Solar Cells. 95(1). 127–130. 16 indexed citations
6.
Python, M., D. Dominé, T. Söderström, Fanny Meillaud, & Christophe Ballif. (2010). Microcrystalline silicon solar cells: effect of substrate temperature on cracks and their role in post‐oxidation. Progress in Photovoltaics Research and Applications. 18(7). 491–499. 47 indexed citations
7.
Meillaud, Fanny, A. Feltrin, D. Dominé, et al.. (2009). Limiting factors in the fabrication of microcrystalline silicon solar cells and microcrystalline/amorphous (‘micromorph’) tandems. The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics. 89(28-30). 2599–2621. 14 indexed citations
8.
Despeisse, Matthieu, Christophe Ballif, A. Feltrin, et al.. (2009). Research and developments in thin-film silicon photovoltaics. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7409. 74090B–74090B. 4 indexed citations
9.
Python, M., et al.. (2009). Optical selective coating for solar absorbers. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 23–28. 1 indexed citations
10.
Python, M., et al.. (2009). Influence of the substrate geometrical parameters on microcrystalline silicon growth for thin-film solar cells. Solar Energy Materials and Solar Cells. 93(10). 1714–1720. 121 indexed citations
11.
Haug, Franz‐Josef, T. Söderström, M. Python, et al.. (2008). Development of micromorph tandem solar cells on flexible low-cost plastic substrates. Solar Energy Materials and Solar Cells. 93(6-7). 884–887. 81 indexed citations
12.
Söderström, T., Franz‐Josef Haug, V. Terrazzoni-Daudrix, et al.. (2008). N/I buffer layer for substrate microcrystalline thin film silicon solar cell. Journal of Applied Physics. 104(10). 24 indexed citations
13.
Python, M., E. Vallat‐Sauvain, J. Bailat, et al.. (2008). Relation between substrate surface morphology and microcrystalline silicon solar cell performance. Journal of Non-Crystalline Solids. 354(19-25). 2258–2262. 151 indexed citations
14.
Dominé, D., J. Bailat, M. Python, et al.. (2007). Investigation of the Electric-Field Profile in Microcrystalline Silicon p-i-n Solar Cells by Cross-Sectional Scanning Kelvin Probe Microscopy. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4 indexed citations
15.
Schüler, Andreas, et al.. (2007). Quantum dot containing nanocomposite thin films for photoluminescent solar concentrators. Solar Energy. 81(9). 1159–1165. 54 indexed citations
16.
Ballif, Christophe, J. Bailat, D. Dominé, et al.. (2006). Fabrication of High Efficiency Microcrystalline and Micromorph Thin Film Solar Cells on LPCVD Zno Coated Glass Substrates. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5 indexed citations
17.
Meillaud, Fanny, Arvind Shah, J. Bailat, et al.. (2006). Microcrystalline Silicon Solar Cells: Theory and Diagnostic Tools. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1572–1575. 11 indexed citations
18.
Python, M., E. Vallat‐Sauvain, J. Bailat, Christophe Ballif, & Arvind Shah. (2006). Numerical Simulation of Microcrystalline Silicon Growth on Structured Substrate. MRS Proceedings. 910. 2 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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