Max Seifert

1.3k citations
21 papers · 1.1k indexed · h-index 17

Impact in

Papers in

Max Seifert

21 papers receiving 1.0k citations

Peers

Max Seifert
Comparison fields: 5 of 59
  • Materials Chemistry 620
  • Bioengineering 73
  • Cellular and Molecular Neuroscience 222
  • Surfaces, Coatings and Films 81
  • Biomedical Engineering 416
Replace Lucas H. Hess with:
Lucas H. Hess Germany
Annalisa Convertino Italy
Vivek Subramanian United States
Yoshifumi Aoi Japan
A. Yasuda Germany
Jae Yeol Park South Korea
A. Kahouli France
Tim Leydecker France
Meenakshi Annamalai India
Yueyue Jiang China
Max Seifert relative to Lucas H. Hess Germany Lucas H. Hess's profile →
Citations per field
00.5×1.5×
Lucas H. Hess · 1×
Citations per year

Countries citing papers authored by Max Seifert

Since Specialization
Citations

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

Fields of papers citing papers by Max Seifert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Max Seifert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Max Seifert Line = papers co-authored together Max Seifert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011195
2 2011128
3 2013100
4 201394
5 201171
6 201469
7 201461
8 201556
9 201453
10 201546
11 201337
12 201433
13 201424
14 201419
15 201516
16 201616
17 201416
18 201415
19 20113
20
New 1200 V IGBT and Diode Technology with Improved Controllability for Superior performance in drives application
20182

About Max Seifert

Max Seifert is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Graphene research and applications (15 papers), Graphene and Nanomaterials Applications (7 papers), Neuroscience and Neural Engineering (5 papers), Diamond and Carbon-based Materials Research (5 papers), Carbon Nanotubes in Composites (3 papers), Electrochemical sensors and biosensors (2 papers), 2D Materials and Applications (2 papers) and Fullerene Chemistry and Applications (2 papers). The work is most often cited by research in Materials Chemistry (620 citations), Bioengineering (73 citations), Cellular and Molecular Neuroscience (222 citations), Surfaces, Coatings and Films (81 citations) and Biomedical Engineering (416 citations). Max Seifert has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include José A. Garrido, Lucas H. Hess, M. Stutzmann, Ian D. Sharp, Moritz V. Hauf, Frank Deubel, Matthias Sachsenhauser, Andreas Offenhäusser, Vanessa Maybeck and M. Jansen. Their work appears in journals such as Advanced Materials, Physical Review B, Journal of the American Chemical Society, Chemistry of Materials and Applied Physics Letters.

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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