Martin Käsemann

64 total papers · 1.4k total citations
54 papers, 1.1k citations indexed

About

Martin Käsemann 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, Martin Käsemann has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Electrical and Electronic Engineering, 11 papers in Atomic and Molecular Physics, and Optics and 10 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Martin Käsemann's work include Silicon and Solar Cell Technologies (47 papers), Thin-Film Transistor Technologies (31 papers) and Integrated Circuits and Semiconductor Failure Analysis (14 papers). Martin Käsemann is often cited by papers focused on Silicon and Solar Cell Technologies (47 papers), Thin-Film Transistor Technologies (31 papers) and Integrated Circuits and Semiconductor Failure Analysis (14 papers). Martin Käsemann collaborates with scholars based in Germany, Australia and Netherlands. Martin Käsemann's co-authors include Wilhelm Warta, Johannes Giesecke, Jonas Haunschild, Markus Glatthaar, Stefan Rein, Martin C. Schubert, Malcolm Abbott, Wolfram Kwapil, Leonhard Reindl and Mattias K. Juhl and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Contributions to Mineralogy and Petrology.

In The Last Decade

Martin Käsemann

53 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Martin Käsemann 1.0k 246 221 169 80 54 1.1k
Haihu Yu 951 0.9× 328 1.3× 100 0.5× 107 0.6× 161 2.0× 70 1.1k
Haiyang Pan 356 0.3× 313 1.3× 174 0.8× 461 2.7× 67 0.8× 61 1.2k
Jinsheng Zhang 1.1k 1.1× 99 0.4× 108 0.5× 227 1.3× 113 1.4× 73 1.3k
B. von Roedern 1.2k 1.2× 121 0.5× 175 0.8× 971 5.7× 29 0.4× 75 1.4k
P. Rappaport 650 0.6× 207 0.8× 204 0.9× 255 1.5× 41 0.5× 25 922
Hideo Ishii 482 0.5× 180 0.7× 69 0.3× 216 1.3× 237 3.0× 74 1.3k
W. Folkerts 260 0.3× 516 2.1× 210 1.0× 167 1.0× 111 1.4× 50 971
Qing Ye 822 0.8× 281 1.1× 23 0.1× 105 0.6× 110 1.4× 62 922
Xianli Li 961 0.9× 199 0.8× 48 0.2× 185 1.1× 535 6.7× 70 1.4k
A. Chahboun 565 0.6× 161 0.7× 133 0.6× 507 3.0× 160 2.0× 80 955

Countries citing papers authored by Martin Käsemann

Since Specialization
Citations

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

Fields of papers citing papers by Martin Käsemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Käsemann

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

All Works

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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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2026