Marc Hofmann

1.9k total citations
108 papers, 1.5k citations indexed

About

Marc Hofmann is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Marc Hofmann has authored 108 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Electrical and Electronic Engineering, 28 papers in Materials Chemistry and 24 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Marc Hofmann's work include Silicon and Solar Cell Technologies (84 papers), Thin-Film Transistor Technologies (53 papers) and Semiconductor materials and interfaces (23 papers). Marc Hofmann is often cited by papers focused on Silicon and Solar Cell Technologies (84 papers), Thin-Film Transistor Technologies (53 papers) and Semiconductor materials and interfaces (23 papers). Marc Hofmann collaborates with scholars based in Germany, Switzerland and Cyprus. Marc Hofmann's co-authors include J. Rentsch, R. Preu, Pierre Saint‐Cast, D. Kania, Jan Benick, Stefan W. Glunz, Erricos John Kontoghiorghes, Bishal Kafle, Andreas Wolf and D. Bíro and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Industrial & Engineering Chemistry Research.

In The Last Decade

Marc Hofmann

100 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Hofmann Germany 20 1.3k 461 368 244 84 108 1.5k
Ardhendu Saha India 16 518 0.4× 259 0.6× 383 1.0× 280 1.1× 39 0.5× 100 1.0k
Ming Niu China 20 612 0.5× 626 1.4× 194 0.5× 300 1.2× 64 0.8× 72 1.3k
Olga Casals Spain 24 1.3k 1.0× 681 1.5× 144 0.4× 772 3.2× 33 0.4× 79 1.9k
Guoliang Li United States 26 2.3k 1.8× 453 1.0× 992 2.7× 400 1.6× 70 0.8× 54 2.8k
Yasumitsu Matsuo Japan 17 386 0.3× 487 1.1× 64 0.2× 59 0.2× 44 0.5× 99 911
Haihu Yu China 17 970 0.8× 109 0.2× 329 0.9× 163 0.7× 101 1.2× 70 1.1k
Roberto Ambrosio Mexico 16 549 0.4× 371 0.8× 69 0.2× 223 0.9× 48 0.6× 93 873
Avinashi Kapoor India 22 1.2k 0.9× 784 1.7× 179 0.5× 367 1.5× 398 4.7× 125 1.9k
David Huitink United States 17 378 0.3× 243 0.5× 32 0.1× 106 0.4× 80 1.0× 111 1.0k
Kihong Lee United States 16 315 0.2× 941 2.0× 292 0.8× 138 0.6× 43 0.5× 33 1.4k

Countries citing papers authored by Marc Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Marc Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Hofmann

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Hofmann. A scholar is included among the top collaborators of Marc Hofmann 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 Marc Hofmann. Marc Hofmann 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.
Hofmann, Marc, et al.. (2024). A New Image Evaluation Method for Disperse Multiphase Processes Using Synthetic Training Data. Industrial & Engineering Chemistry Research. 63(28). 12561–12573. 1 indexed citations
2.
Lohmüller, Elmar, Christian Reichel, Julian Weber, et al.. (2024). Challenges and advantages of cut solar cells for shingling and half-cell modules. EPJ Photovoltaics. 15. 22–22. 3 indexed citations
3.
Lohmüller, Elmar, et al.. (2023). Thermal laser separation and high-throughput layer deposition for edge passivation for TOPCon shingle solar cells. Solar Energy Materials and Solar Cells. 258. 112419–112419. 11 indexed citations
4.
Hofmann, Marc, et al.. (2023). A plasma chemistry model for H2/SiH4 mixtures used in PECVD processes. Physica Scripta. 98(5). 55614–55614. 2 indexed citations
5.
Hofmann, Marc, et al.. (2021). Use of optical emission spectroscopy to predict silicon nitride layer properties. Vacuum. 191. 110322–110322. 9 indexed citations
6.
Weber, Julian, et al.. (2021). PERC Solar Cells on p-Type Cz-Si Utilizing Phosphorus-Doped SiNX Layers. IEEE Journal of Photovoltaics. 12(1). 213–221. 4 indexed citations
7.
Polzin, Jana‐Isabelle, Leonard Tutsch, Jan Temmler, et al.. (2021). Influence of Intrinsic Silicon Layer and Intermediate Silicon Oxide Layer on the Performance of Inline PECVD Deposited Boron-Doped TOPCon. IEEE Journal of Photovoltaics. 11(4). 936–943. 8 indexed citations
8.
Richter, Armin, et al.. (2020). Ultrathin Plasma Oxide for Passivation of Phosphorus-Diffused Silicon Solar Cell Emitters. IEEE Journal of Photovoltaics. 10(5). 1226–1231. 3 indexed citations
9.
Saint‐Cast, Pierre, et al.. (2020). The effects of carbon incorporation on the refractive index of PECVD silicon oxide layers. AIP Advances. 10(4). 2 indexed citations
10.
Tucher, Nico, Hubert Hauser, Martin Zimmer, et al.. (2015). Honeycomb Structure on Multi-crystalline Silicon Al-BSF Solar Cell With 17.8% Efficiency. IEEE Journal of Photovoltaics. 5(4). 1027–1033. 25 indexed citations
11.
Kafle, Bishal, et al.. (2014). Nanostructuring of c-Si surface by F2-based atmospheric pressure dry texturing process. physica status solidi (a). 212(2). 307–311. 18 indexed citations
12.
Zauner, A., et al.. (2014). PERC Solar Cells: Comparison of Al Precursors for Rear-Side Surface Passivation. EU PVSEC. 1413–1416. 1 indexed citations
13.
Fallisch, A., Roman Keding, Marc Hofmann, et al.. (2012). Analysis of Phosphorus-Doped Silicon Oxide Layers Deposited by Means of PECVD as a Dopant Source in Diffusion Processes. IEEE Journal of Photovoltaics. 2(4). 450–456. 7 indexed citations
14.
Hofmann, Marc, et al.. (2011). Charge carrier trapping at passivated silicon surfaces. Journal of Applied Physics. 109(6). 7 indexed citations
15.
Mack, Sebastian, Andreas Wolf, Achim Kimmerle, et al.. (2011). Silicon Surface Passivation by Thin Thermal Oxide/PECVD Layer Stack Systems. IEEE Journal of Photovoltaics. 1(2). 135–145. 75 indexed citations
16.
Saint‐Cast, Pierre, Jan Benick, D. Kania, et al.. (2010). High Efficiency p-Type PERC Solar Cells Applying PECVD ALOx Layers. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1488–1491. 3 indexed citations
17.
Hofmann, Marc, et al.. (2010). An Exact Least Trimmed Squares Algorithm for a Range of Coverage Values. Journal of Computational and Graphical Statistics. 19(1). 191–204. 14 indexed citations
18.
Hofmann, Marc, et al.. (2009). Towards a-Si:H Rear Passivated Industrial-Type Silicon Solar Cells. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1 indexed citations
19.
Saint‐Cast, Pierre, D. Kania, Marc Hofmann, et al.. (2009). Very low surface recombination velocity on p-type c-Si by high-rate plasma-deposited aluminum oxide. Applied Physics Letters. 95(15). 206 indexed citations
20.
Hieronymus, H., et al.. (2001). Characterisation of surface explosions. 117–125. 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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